gstack/test/fixtures/eng-batching-saved-ledger-dacc.json

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      {
        "question": "D4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Architecture section (PLAN.md:6-8).\nELI10: A job library already knows how to say \"this failed, try again in N seconds\": it stores the attempt count, schedules the requeue, and survives a worker crash mid-retry. The plan rebuilds that machinery by hand inside each of 5 workers because it wants control over the delay curve. But the curve is just a function (attempt number in, milliseconds out), and every mainstream library lets you plug in your own. You can keep full control of the curve while letting the library do the scheduling.\nStakes if we pick wrong: a hand-rolled scheduler has to get attempt persistence, crash-during-delay, and duplicate-scheduling right in 5 places; if any is wrong, jobs silently retry forever or vanish, and nobody notices until a customer does.\nRecommendation: A because it satisfies the stated need (custom curve) with one ~20-line function instead of five schedulers, and reuses code that already handles the failure modes. [Layer 1]\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: custom curve either way; the question is who owns attempt state and requeue timing: the battle-tested library or five copies of new code.",
        "header": "Scheduler",
        "multiSelect": false,
        "options": [
          {
            "label": "Library hooks + custom backoff fn (recommended)",
            "description": "\u2705 Attempt counting, persistence and requeue timing come from code already running in prod; the only new logic is one backoff function you fully control. \u2705 Shrinks the change from 5 schedulers to ~20 lines plus config (human: ~1 day / CC: ~10 min). \u274c Bound to the library's hook signature; if it truly cannot express a curve you need, you find out during implementation."
          },
          {
            "label": "Custom inline scheduler (as planned)",
            "description": "\u2705 Zero dependence on the library's retry API; every knob is yours. \u2705 Curve, logging and dispatch live in one visible place per worker. \u274c You re-implement attempt persistence and crash-safe delay in 5 places (human: ~1 week / CC: ~1 hr) and own every bug the library already fixed."
          },
          {
            "label": "Investigate library hook API first",
            "description": "\u2705 Confirms the hook supports a custom delay function before committing either way. \u2705 Bounded: read the library's retry/backoff docs and one existing worker's registration (CC: ~5 min). \u274c Delays the decision; leaves R1 and the dependent rows (R2, R6, R7) pending until the probe reports."
          }
        ]
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    "answered": true,
    "failed": false,
    "answers": {
      "D4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Architecture section (PLAN.md:6-8).\nELI10: A job library already knows how to say \"this failed, try again in N seconds\": it stores the attempt count, schedules the requeue, and survives a worker crash mid-retry. The plan rebuilds that machinery by hand inside each of 5 workers because it wants control over the delay curve. But the curve is just a function (attempt number in, milliseconds out), and every mainstream library lets you plug in your own. You can keep full control of the curve while letting the library do the scheduling.\nStakes if we pick wrong: a hand-rolled scheduler has to get attempt persistence, crash-during-delay, and duplicate-scheduling right in 5 places; if any is wrong, jobs silently retry forever or vanish, and nobody notices until a customer does.\nRecommendation: A because it satisfies the stated need (custom curve) with one ~20-line function instead of five schedulers, and reuses code that already handles the failure modes. [Layer 1]\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: custom curve either way; the question is who owns attempt state and requeue timing: the battle-tested library or five copies of new code.": "Library hooks + custom backoff fn (recommended)"
    },
    "unansweredQuestionIndices": [],
    "answeredAt": "2026-09-15T11:25:38.483Z"
  },
  "preAskPlan": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
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        "toolUseId": "toolu_011hnyz5zFLtxzQQFdZMojPR",
        "questions": [
          {
            "question": "D1 \u2014 Add gstack skill routing rules to this project's CLAUDE.md?\nProject/branch/task: main \u2014 plan-eng-review of PLAN.md (background job retry framework); one-time gstack onboarding prompt.\nELI10: gstack has many skills (/investigate, /ship, /plan-eng-review...). A short routing table in CLAUDE.md tells Claude which skill to reach for when you say things like \"this is broken\" or \"ship it\", so you don't have to remember slash-command names. Without it, skills only run when you type them by hand.\nStakes if we pick wrong: pick A and you get a ~15-line section appended to CLAUDE.md and one commit; pick B and skills stay manual-only (re-enableable later via gstack-config).\nRecommendation: A because the routing table is cheap and makes the skills actually get used.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: a small CLAUDE.md addition vs. remembering skill names yourself. Note: we are in plan mode, so if you pick A the append + commit happens after plan mode exits.",
            "header": "Routing",
            "multiSelect": false,
            "options": [
              {
                "label": "Add routing rules (recommended)",
                "description": "\u2705 Requests like \"investigate this bug\" auto-route to the right skill without memorizing names. \u2705 Team members using this repo get the same routing behavior from the committed CLAUDE.md. \u274c Adds a ~15-line section to CLAUDE.md and one chore commit (deferred until plan mode exits)."
              },
              {
                "label": "No thanks, manual skills",
                "description": "\u2705 CLAUDE.md stays untouched; no extra commit on main. \u2705 You keep full control over when a skill runs. \u274c Skills never trigger from natural language; you must type the slash command every time."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D1 \u2014 Add gstack skill routing rules to this project's CLAUDE.md?\nProject/branch/task: main \u2014 plan-eng-review of PLAN.md (background job retry framework); one-time gstack onboarding prompt.\nELI10: gstack has many skills (/investigate, /ship, /plan-eng-review...). A short routing table in CLAUDE.md tells Claude which skill to reach for when you say things like \"this is broken\" or \"ship it\", so you don't have to remember slash-command names. Without it, skills only run when you type them by hand.\nStakes if we pick wrong: pick A and you get a ~15-line section appended to CLAUDE.md and one commit; pick B and skills stay manual-only (re-enableable later via gstack-config).\nRecommendation: A because the routing table is cheap and makes the skills actually get used.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: a small CLAUDE.md addition vs. remembering skill names yourself. Note: we are in plan mode, so if you pick A the append + commit happens after plan mode exits.": "Add routing rules (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:22:47.105Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_014AwRF4BSy3CGgbtc3pfGWz",
        "questions": [
          {
            "question": "D2 \u2014 Run /office-hours first, or go straight to the engineering review?\nProject/branch/task: main \u2014 reviewing PLAN.md \"Add background job retry framework\"; no design doc exists for this branch.\nELI10: A design doc is a one-page \"why\" for this specific change: the problem, the constraints, and the alternatives that were considered and rejected. /office-hours produces one in about 10 minutes by interviewing you. The plan I have is four short paragraphs, so the review has to infer the reasoning (for example, why a custom scheduler over the job library's retry hooks). A design doc gives the review something concrete to push against instead of guessing.\nStakes if we pick wrong: skip it and the review may argue against reasons you already weighed; run it and you spend ~10 minutes before any findings arrive.\nRecommendation: B because the plan is small and its issues are already visible on the page; the review can surface the \"why\" questions directly as decisions.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: ~10 minutes of structured problem framing vs. getting to findings now.",
            "header": "Design doc",
            "multiSelect": false,
            "options": [
              {
                "label": "Skip, standard review (recommended)",
                "description": "\u2705 Findings arrive immediately; the plan is short enough that the review can ask the \"why\" questions inline. \u2705 No extra artifacts to maintain for a four-paragraph plan. \u274c The review infers intent (e.g. why a custom backoff curve) rather than reading it from a stated problem statement."
              },
              {
                "label": "Run /office-hours now",
                "description": "\u2705 Produces a structured problem statement and explored alternatives the review can cite directly. \u2705 Forces the \"custom scheduler vs library hooks\" premise to be argued before code exists (human: ~1 hr / CC: ~10 min). \u274c Delays the review by roughly ten minutes for a plan whose gaps are already visible."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D2 \u2014 Run /office-hours first, or go straight to the engineering review?\nProject/branch/task: main \u2014 reviewing PLAN.md \"Add background job retry framework\"; no design doc exists for this branch.\nELI10: A design doc is a one-page \"why\" for this specific change: the problem, the constraints, and the alternatives that were considered and rejected. /office-hours produces one in about 10 minutes by interviewing you. The plan I have is four short paragraphs, so the review has to infer the reasoning (for example, why a custom scheduler over the job library's retry hooks). A design doc gives the review something concrete to push against instead of guessing.\nStakes if we pick wrong: skip it and the review may argue against reasons you already weighed; run it and you spend ~10 minutes before any findings arrive.\nRecommendation: B because the plan is small and its issues are already visible on the page; the review can surface the \"why\" questions directly as decisions.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: ~10 minutes of structured problem framing vs. getting to findings now.": "Skip, standard review (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:23:17.151Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01GXqHDCWay8hvq1GrfArksH",
        "questions": [
          {
            "question": "D3 \u2014 Enable cross-project learnings search?\nProject/branch/task: main \u2014 reviewing PLAN.md \"Add background job retry framework\"; first-time gstack learnings setup on this machine.\nELI10: gstack saves small \"lessons learned\" from each session (pitfalls, patterns, commands that worked). It can search lessons from your other local projects when reviewing this one, so a retry-framework mistake you hit elsewhere shows up here. Everything stays on this machine; nothing is uploaded.\nStakes if we pick wrong: enable it on a machine with multiple client codebases and one client's project quirks could color advice on another's; keep it off and each project starts from zero.\nRecommendation: A because for a solo developer the cross-pollination is free signal and it stays local.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: broader recall of your own past lessons vs. strict per-project isolation.",
            "header": "Learnings",
            "multiSelect": false,
            "options": [
              {
                "label": "Enable cross-project (recommended)",
                "description": "\u2705 Past lessons from any local project (e.g. a prior retry/backoff pitfall) surface in this review. \u2705 Stays entirely on this machine; no network calls, no data leaves. \u274c On a machine with several client codebases, one client's quirks can bleed into another's advice."
              },
              {
                "label": "Project-scoped only",
                "description": "\u2705 Strict isolation: this project's learnings never mix with another codebase's. \u2705 Safe default when you work across multiple clients or employers. \u274c Each new project starts with an empty learnings pool, so recurring pitfalls get re-learned."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D3 \u2014 Enable cross-project learnings search?\nProject/branch/task: main \u2014 reviewing PLAN.md \"Add background job retry framework\"; first-time gstack learnings setup on this machine.\nELI10: gstack saves small \"lessons learned\" from each session (pitfalls, patterns, commands that worked). It can search lessons from your other local projects when reviewing this one, so a retry-framework mistake you hit elsewhere shows up here. Everything stays on this machine; nothing is uploaded.\nStakes if we pick wrong: enable it on a machine with multiple client codebases and one client's project quirks could color advice on another's; keep it off and each project starts from zero.\nRecommendation: A because for a solo developer the cross-pollination is free signal and it stays local.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: broader recall of your own past lessons vs. strict per-project isolation.": "Enable cross-project (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:23:51.216Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01DtninNRGnG3WoyzZjUi2Em",
        "questions": [
          {
            "question": "D4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Architecture section (PLAN.md:6-8).\nELI10: A job library already knows how to say \"this failed, try again in N seconds\": it stores the attempt count, schedules the requeue, and survives a worker crash mid-retry. The plan rebuilds that machinery by hand inside each of 5 workers because it wants control over the delay curve. But the curve is just a function (attempt number in, milliseconds out), and every mainstream library lets you plug in your own. You can keep full control of the curve while letting the library do the scheduling.\nStakes if we pick wrong: a hand-rolled scheduler has to get attempt persistence, crash-during-delay, and duplicate-scheduling right in 5 places; if any is wrong, jobs silently retry forever or vanish, and nobody notices until a customer does.\nRecommendation: A because it satisfies the stated need (custom curve) with one ~20-line function instead of five schedulers, and reuses code that already handles the failure modes. [Layer 1]\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: custom curve either way; the question is who owns attempt state and requeue timing: the battle-tested library or five copies of new code.",
            "header": "Scheduler",
            "multiSelect": false,
            "options": [
              {
                "label": "Library hooks + custom backoff fn (recommended)",
                "description": "\u2705 Attempt counting, persistence and requeue timing come from code already running in prod; the only new logic is one backoff function you fully control. \u2705 Shrinks the change from 5 schedulers to ~20 lines plus config (human: ~1 day / CC: ~10 min). \u274c Bound to the library's hook signature; if it truly cannot express a curve you need, you find out during implementation."
              },
              {
                "label": "Custom inline scheduler (as planned)",
                "description": "\u2705 Zero dependence on the library's retry API; every knob is yours. \u2705 Curve, logging and dispatch live in one visible place per worker. \u274c You re-implement attempt persistence and crash-safe delay in 5 places (human: ~1 week / CC: ~1 hr) and own every bug the library already fixed."
              },
              {
                "label": "Investigate library hook API first",
                "description": "\u2705 Confirms the hook supports a custom delay function before committing either way. \u2705 Bounded: read the library's retry/backoff docs and one existing worker's registration (CC: ~5 min). \u274c Delays the decision; leaves R1 and the dependent rows (R2, R6, R7) pending until the probe reports."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Architecture section (PLAN.md:6-8).\nELI10: A job library already knows how to say \"this failed, try again in N seconds\": it stores the attempt count, schedules the requeue, and survives a worker crash mid-retry. The plan rebuilds that machinery by hand inside each of 5 workers because it wants control over the delay curve. But the curve is just a function (attempt number in, milliseconds out), and every mainstream library lets you plug in your own. You can keep full control of the curve while letting the library do the scheduling.\nStakes if we pick wrong: a hand-rolled scheduler has to get attempt persistence, crash-during-delay, and duplicate-scheduling right in 5 places; if any is wrong, jobs silently retry forever or vanish, and nobody notices until a customer does.\nRecommendation: A because it satisfies the stated need (custom curve) with one ~20-line function instead of five schedulers, and reuses code that already handles the failure modes. [Layer 1]\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: custom curve either way; the question is who owns attempt state and requeue timing: the battle-tested library or five copies of new code.": "Library hooks + custom backoff fn (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:25:38.483Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_013qHfB9gfyw3fYQXQ39v9er",
        "questions": [
          {
            "question": "D5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Code quality section (PLAN.md:11-13).\nELI10: The plan says the retry envelope is copy-pasted into 5 worker files and we'll \"refactor later.\" Now that the library owns dispatch (D4), what's left is small: the backoff function, an \"attempt N failed, retrying in X\" log line, and the default retry options. Those must be identical everywhere, otherwise one worker retries 3 times and another 30, and the logs don't line up when you're debugging at 3am. Putting them in one module means one place to change the curve; five copies means five places that drift.\nStakes if we pick wrong: with copies, a later curve or cap change lands in 4 of 5 workers and the fifth keeps hammering a dependency; \"refactor later\" historically means never.\nRecommendation: A because it is roughly 30 lines, the per-worker call becomes one import plus one option, and it matches the DRY preference.\nCompleteness: A=10/10, B=3/10\nNet: 30 lines of shared code now vs. five divergence points and a refactor that never gets scheduled.",
            "header": "DRY",
            "multiSelect": false,
            "options": [
              {
                "label": "Shared retryPolicy module now (recommended)",
                "description": "\u2705 One backoff function, one log format, one set of defaults; a curve change is a single edit tested once. \u2705 Each worker registration shrinks to `import { retryPolicy }` plus one option (human: ~half day / CC: ~10 min). \u274c One more module in the tree; a bug in it affects all 5 workers at once (mitigated by unit tests on the module)."
              },
              {
                "label": "Per-worker copies, refactor later (as planned)",
                "description": "\u2705 Nothing new to name or place; each worker is self-contained. \u2705 Zero coordination if the workers are owned by different people. \u274c Five copies of the curve, cap and log format will drift; the plan itself already calls this a refactor debt and defers it."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Code quality section (PLAN.md:11-13).\nELI10: The plan says the retry envelope is copy-pasted into 5 worker files and we'll \"refactor later.\" Now that the library owns dispatch (D4), what's left is small: the backoff function, an \"attempt N failed, retrying in X\" log line, and the default retry options. Those must be identical everywhere, otherwise one worker retries 3 times and another 30, and the logs don't line up when you're debugging at 3am. Putting them in one module means one place to change the curve; five copies means five places that drift.\nStakes if we pick wrong: with copies, a later curve or cap change lands in 4 of 5 workers and the fifth keeps hammering a dependency; \"refactor later\" historically means never.\nRecommendation: A because it is roughly 30 lines, the per-worker call becomes one import plus one option, and it matches the DRY preference.\nCompleteness: A=10/10, B=3/10\nNet: 30 lines of shared code now vs. five divergence points and a refactor that never gets scheduled.": "Shared retryPolicy module now (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:26:23.603Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01JVgATq6LMXiMifY6j1m96g",
        "questions": [
          {
            "question": "D6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Tests section (PLAN.md:16-18) rewriting processWebhookJob().\nELI10: Today a webhook is sent once; if it fails, it's gone (\"at-most-once\"). The moment you add retries, a customer's server can receive the same event twice, because \"the request timed out\" and \"the request failed\" look identical to us but the customer may have processed it. That is \"at-least-once,\" and it is what Stripe, GitHub and Shopify all do: they include an idempotency key (a stable event id) so the customer can ignore duplicates. The plan rewrites the webhook flow under the retry framework without saying which promise customers get. Silently switching is the one option that is wrong.\nStakes if we pick wrong: a customer double-fulfills an order on a duplicate event, or, if we keep at-most-once by accident, a transient 5xx drops a payment notification with no retry and no record.\nRecommendation: A because retrying is why this flow is being touched, and at-least-once plus an idempotency key is the industry-standard, documented contract; B is the right pick only if customers cannot dedupe.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: retries with a documented dedupe key vs. no retries for webhooks at all; the hidden third option (retry silently under an at-most-once promise) is off the table.",
            "header": "Webhook semantics",
            "multiSelect": false,
            "options": [
              {
                "label": "At-least-once + idempotency key (recommended)",
                "description": "\u2705 Transient customer-side failures get retried on the shared curve; deliveries stop vanishing on a single 5xx. \u2705 A stable per-event idempotency key header lets consumers dedupe, matching the contract every major webhook provider documents. \u274c Customer-visible contract change: needs a docs/changelog note, and consumers who never deduped may see duplicates until they do (human: ~2 days incl. docs / CC: ~30 min)."
              },
              {
                "label": "Keep at-most-once: webhook worker opts out",
                "description": "\u2705 Zero change to what customers observe; the existing promise is preserved exactly. \u2705 Simplest regression test: assert the webhook worker registers with maxAttempts=1. \u274c Webhooks get none of the reliability this whole plan is for; a transient 5xx still loses the event, and terminal handling (R7) becomes the only safety net."
              },
              {
                "label": "Investigate the current webhook contract first",
                "description": "\u2705 Grounds the choice in what the docs and consumers actually promise today. \u2705 Bounded: read the public webhook docs and processWebhookJob() (CC: ~5 min). \u274c Leaves R4, R3, R6 and R7 pending; the review cannot write the regression contract until this resolves."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Tests section (PLAN.md:16-18) rewriting processWebhookJob().\nELI10: Today a webhook is sent once; if it fails, it's gone (\"at-most-once\"). The moment you add retries, a customer's server can receive the same event twice, because \"the request timed out\" and \"the request failed\" look identical to us but the customer may have processed it. That is \"at-least-once,\" and it is what Stripe, GitHub and Shopify all do: they include an idempotency key (a stable event id) so the customer can ignore duplicates. The plan rewrites the webhook flow under the retry framework without saying which promise customers get. Silently switching is the one option that is wrong.\nStakes if we pick wrong: a customer double-fulfills an order on a duplicate event, or, if we keep at-most-once by accident, a transient 5xx drops a payment notification with no retry and no record.\nRecommendation: A because retrying is why this flow is being touched, and at-least-once plus an idempotency key is the industry-standard, documented contract; B is the right pick only if customers cannot dedupe.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: retries with a documented dedupe key vs. no retries for webhooks at all; the hidden third option (retry silently under an at-most-once promise) is off the table.": "At-least-once + idempotency key (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:27:24.790Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_0175NPRWsxd3kbTZjTTDrduw",
        "questions": [
          {
            "question": "D7 \u2014 Add jitter to the backoff curve?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", the custom backoff function approved in D4.\nELI10: Exponential backoff means \"wait 1s, then 2s, then 4s.\" If a shared dependency (database, third-party API) blips and 2,000 jobs fail in the same second, plain exponential backoff retries all 2,000 at exactly the same instant, three times in a row, recreating the spike that caused the failure. Jitter randomizes each job's wait inside the window (0 to the computed delay), so the 2,000 retries spread out instead of arriving as a wall. It is one multiply by a random number.\nStakes if we pick wrong: without jitter, the retry framework can turn a 5-second blip into a self-inflicted outage; with it, the same blip drains smoothly.\nRecommendation: A because it is a one-line change to the backoff function and it is the single most-cited retry pitfall in current guidance.\nCompleteness: A=10/10, B=6/10\nNet: one random multiply vs. synchronized retry storms under exactly the conditions retries exist for.",
            "header": "Jitter",
            "multiSelect": false,
            "options": [
              {
                "label": "Full jitter (recommended)",
                "description": "\u2705 Spreads simultaneous retries across the whole window so a dependency recovering from an outage is not re-hammered in lockstep. \u2705 One line in the shared backoff function; unit test asserts delay stays within [0, cap] for every attempt (CC: ~2 min). \u274c Delays are non-deterministic, so tests must seed or stub the RNG and dashboards see a range rather than a fixed schedule."
              },
              {
                "label": "Deterministic exponential, no jitter",
                "description": "\u2705 Exact, predictable retry times; easy to reason about in logs and tests. \u2705 Nothing to stub or seed in unit tests. \u274c Every job that failed together retries together, so a shared-dependency blip becomes a repeating spike at 1s, 2s, 4s, 8s."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D7 \u2014 Add jitter to the backoff curve?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", the custom backoff function approved in D4.\nELI10: Exponential backoff means \"wait 1s, then 2s, then 4s.\" If a shared dependency (database, third-party API) blips and 2,000 jobs fail in the same second, plain exponential backoff retries all 2,000 at exactly the same instant, three times in a row, recreating the spike that caused the failure. Jitter randomizes each job's wait inside the window (0 to the computed delay), so the 2,000 retries spread out instead of arriving as a wall. It is one multiply by a random number.\nStakes if we pick wrong: without jitter, the retry framework can turn a 5-second blip into a self-inflicted outage; with it, the same blip drains smoothly.\nRecommendation: A because it is a one-line change to the backoff function and it is the single most-cited retry pitfall in current guidance.\nCompleteness: A=10/10, B=6/10\nNet: one random multiply vs. synchronized retry storms under exactly the conditions retries exist for.": "Full jitter (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:27:56.386Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01EiFuXziZhUfzjsRuoXJNpq",
        "questions": [
          {
            "question": "D8 \u2014 Cap the retries, and where do exhausted jobs go?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", shared retryPolicy defaults (D4/D5).\nELI10: Some jobs will never succeed: a malformed payload, a deleted customer, a webhook URL that now 404s. Without a maximum, those jobs retry forever, quietly eating worker time and log volume. A cap (say 8 attempts over ~15 minutes with jitter) stops them, but then they have to go somewhere. A \"dead set\" is the library's parking lot for exhausted jobs: you can list them, inspect the error, and replay them after a fix. An alert on that parking lot filling up is how a tired human at 3am finds out a downstream is broken.\nStakes if we pick wrong: no cap means zombie jobs and a queue that never drains; cap-and-log-only means exhausted jobs are gone the moment logs rotate and there's nothing to replay.\nRecommendation: A because the dead set already exists in the library, the alert is one metric threshold, and \"exhausted jobs are visible and replayable\" is the whole point of a retry framework you can operate.\nCompleteness: A=10/10, B=6/10, C=2/10\nNet: bounded retries with a replayable parking lot and a pager signal vs. exhausted jobs that either never stop or silently disappear. Concrete defaults proposed: maxAttempts=8, base=1s, cap=15min; per-worker overrides allowed.",
            "header": "Cap + dead set",
            "multiSelect": false,
            "options": [
              {
                "label": "Cap + dead set + alert (recommended)",
                "description": "\u2705 Exhausted jobs land in the library's dead/failed set with the last error, so they can be inspected and replayed after a fix. \u2705 One structured `job.exhausted` log line plus an alert on dead-set growth means a broken downstream pages someone instead of hiding (human: ~1 day / CC: ~15 min). \u274c Needs an alert threshold and an owner for the dead set; an unwatched dead set is a slower version of log-only."
              },
              {
                "label": "Cap + log only",
                "description": "\u2705 Stops infinite retries with the least new surface: one log line when attempts run out. \u2705 No alert wiring or dead-set ownership to set up. \u274c Exhausted jobs are unrecoverable once logs rotate; a downstream outage that kills 500 jobs leaves nothing to replay and nobody is paged."
              },
              {
                "label": "No cap, retry until success",
                "description": "\u2705 Nothing is ever dropped; a fixed downstream eventually drains everything. \u2705 No terminal handling to design at all. \u274c Permanently-bad jobs (deleted customer, 404 webhook URL) retry forever, consuming workers and log volume with zero signal that anything is wrong."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D8 \u2014 Cap the retries, and where do exhausted jobs go?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", shared retryPolicy defaults (D4/D5).\nELI10: Some jobs will never succeed: a malformed payload, a deleted customer, a webhook URL that now 404s. Without a maximum, those jobs retry forever, quietly eating worker time and log volume. A cap (say 8 attempts over ~15 minutes with jitter) stops them, but then they have to go somewhere. A \"dead set\" is the library's parking lot for exhausted jobs: you can list them, inspect the error, and replay them after a fix. An alert on that parking lot filling up is how a tired human at 3am finds out a downstream is broken.\nStakes if we pick wrong: no cap means zombie jobs and a queue that never drains; cap-and-log-only means exhausted jobs are gone the moment logs rotate and there's nothing to replay.\nRecommendation: A because the dead set already exists in the library, the alert is one metric threshold, and \"exhausted jobs are visible and replayable\" is the whole point of a retry framework you can operate.\nCompleteness: A=10/10, B=6/10, C=2/10\nNet: bounded retries with a replayable parking lot and a pager signal vs. exhausted jobs that either never stop or silently disappear. Concrete defaults proposed: maxAttempts=8, base=1s, cap=15min; per-worker overrides allowed.": "Cap + dead set + alert (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:28:30.001Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01So8LUFj1z81H8VBxKEFyw6",
        "questions": [
          {
            "question": "D9 \u2014 Retry every failure, or only the transient ones?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", shared retryPolicy module (D5) error handling.\nELI10: Failures come in two kinds. Transient: the network dropped, the downstream timed out, it answered 503 or 429 (\"slow down\"). Those get better if you wait. Permanent: the webhook URL returns 404, the payload fails validation, the customer was deleted. Those never get better. The plan retries everything the same way, so a permanent failure burns 8 attempts over 15 minutes before it finally lands in the dead set where someone can see it. A small `isRetryable(err)` check in the shared module sends permanent failures straight to the dead set on attempt one.\nStakes if we pick wrong: retry-everything means a bad deploy that breaks validation for all jobs shows up in the dead-set alert 15 minutes late and after 8x the load; misclassifying a transient error as permanent means one blip kills a job that would have succeeded on the next try.\nRecommendation: A because the classification is ~15 lines, it makes the dead-set alert fire immediately for real bugs, and the conservative default (unknown error = retry) protects against misclassification.\nCompleteness: A=10/10, B=6/10\nNet: a small classifier that makes permanent failures visible in seconds vs. uniform retries that delay every real bug signal by the full curve.",
            "header": "Error classes",
            "multiSelect": false,
            "options": [
              {
                "label": "Classify: retry transient, dead-letter permanent (recommended)",
                "description": "\u2705 Permanent failures (404, 4xx except 408/429, validation, explicit NonRetryableError) hit the dead set and alert on attempt one instead of 15 minutes later. \u2705 Default for unknown errors is retry, so misclassification fails safe; unit tests cover each class (human: ~half day / CC: ~10 min). \u274c One more concept in the module, and the HTTP-status mapping needs a home for per-worker exceptions (e.g. a partner API that returns 400 for rate limits)."
              },
              {
                "label": "Retry everything up to the cap",
                "description": "\u2705 Simplest possible rule; no classifier to maintain or get wrong. \u2705 A job that fails for a surprising-but-transient reason still gets its full 8 attempts. \u274c A permanent failure retries 8 times over 15 minutes, so a real bug reaches the dead-set alert late and with 8x the load, and a 404 webhook URL gets hammered pointlessly."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D9 \u2014 Retry every failure, or only the transient ones?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", shared retryPolicy module (D5) error handling.\nELI10: Failures come in two kinds. Transient: the network dropped, the downstream timed out, it answered 503 or 429 (\"slow down\"). Those get better if you wait. Permanent: the webhook URL returns 404, the payload fails validation, the customer was deleted. Those never get better. The plan retries everything the same way, so a permanent failure burns 8 attempts over 15 minutes before it finally lands in the dead set where someone can see it. A small `isRetryable(err)` check in the shared module sends permanent failures straight to the dead set on attempt one.\nStakes if we pick wrong: retry-everything means a bad deploy that breaks validation for all jobs shows up in the dead-set alert 15 minutes late and after 8x the load; misclassifying a transient error as permanent means one blip kills a job that would have succeeded on the next try.\nRecommendation: A because the classification is ~15 lines, it makes the dead-set alert fire immediately for real bugs, and the conservative default (unknown error = retry) protects against misclassification.\nCompleteness: A=10/10, B=6/10\nNet: a small classifier that makes permanent failures visible in seconds vs. uniform retries that delay every real bug signal by the full curve.": "Classify: retry transient, dead-letter permanent (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:29:13.659Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01V8oYu9WJesG1m4FLT5k2ZN",
        "questions": [
          {
            "question": "D10 \u2014 How do we lock in the webhook regression contract?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", processWebhookJob() rewrite (PLAN.md:16-18).\nELI10: The webhook code is being rewritten, and today nothing proves it still does what it did. What must stay the same: on a good first try, exactly one POST goes out, and the body, signature header and content-type are byte-for-byte what customers get today. What changes on purpose (D6/D8/D9): a 503 gets retried with the same Idempotency-Key and identical body; a 404 is sent once and parked; 8 failures park the job. Unit tests with stubs are cheap and great for the byte-level details, but the retry behavior itself happens inside the job library (attempt counting, requeue), and a stub of the library is exactly the thing that hides a misconfigured hook. One test through the real queue against a tiny local HTTP receiver catches that.\nStakes if we pick wrong: a subtle header or body change ships to every webhook customer, or the retry hook is wired wrong and no webhook ever retries in production while all the unit tests pass.\nRecommendation: C because the unit suite enumerates the cheap edge cases and the single integration test proves the library actually drives the retries; with CC the extra test is minutes.\nCompleteness: A=7/10, B=6/10, C=10/10\nNet: stubs prove the bytes, the real queue proves the retries; only C proves both.",
            "header": "Regression",
            "multiSelect": false,
            "options": [
              {
                "label": "Unit suite + one real-queue integration test (recommended)",
                "description": "\u2705 Unit tests pin body/signature/headers with a golden snapshot of today's output and cover every error class; the integration test proves 200 = 1 POST, 503\u2192200 = 2 POSTs same key, 404 = 1 POST then dead set. \u2705 Catches the failure stubs cannot: a retry hook registered wrong so nothing ever retries (human: ~2 days / CC: ~30 min). \u274c Integration test needs a local queue backend in CI and an in-process HTTP receiver; slower than unit tests alone."
              },
              {
                "label": "Unit tests with stubs",
                "description": "\u2705 Fast, deterministic, and ideal for byte-level payload and header assertions plus every isRetryable branch. \u2705 No queue backend needed in CI (human: ~1 day / CC: ~15 min). \u274c Stubs the library boundary where the retry actually happens, so a misregistered hook or wrong attempt indexing passes green and fails in prod."
              },
              {
                "label": "One integration test through the real queue",
                "description": "\u2705 Exercises the true path: enqueue \u2192 library retry \u2192 worker \u2192 HTTP receiver, including attempt counting. \u2705 Directly demonstrates the customer-visible contract end to end. \u274c Slow and coarse: enumerating every error class and edge (overflow, rng bounds, header set) through a real queue is impractical, so most branches stay untested."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D10 \u2014 How do we lock in the webhook regression contract?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", processWebhookJob() rewrite (PLAN.md:16-18).\nELI10: The webhook code is being rewritten, and today nothing proves it still does what it did. What must stay the same: on a good first try, exactly one POST goes out, and the body, signature header and content-type are byte-for-byte what customers get today. What changes on purpose (D6/D8/D9): a 503 gets retried with the same Idempotency-Key and identical body; a 404 is sent once and parked; 8 failures park the job. Unit tests with stubs are cheap and great for the byte-level details, but the retry behavior itself happens inside the job library (attempt counting, requeue), and a stub of the library is exactly the thing that hides a misconfigured hook. One test through the real queue against a tiny local HTTP receiver catches that.\nStakes if we pick wrong: a subtle header or body change ships to every webhook customer, or the retry hook is wired wrong and no webhook ever retries in production while all the unit tests pass.\nRecommendation: C because the unit suite enumerates the cheap edge cases and the single integration test proves the library actually drives the retries; with CC the extra test is minutes.\nCompleteness: A=7/10, B=6/10, C=10/10\nNet: stubs prove the bytes, the real queue proves the retries; only C proves both.": "Unit suite + one real-queue integration test (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:30:21.442Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01XBaH9m66PtyKnn3biwy9yZ",
        "questions": [
          {
            "question": "D11 \u2014 Reuse the dependency graph across retries?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Performance section (PLAN.md:21-23).\nELI10: Each attempt currently re-reads the whole job payload from the database and rebuilds a dependency graph from it. The graph doesn't change between attempts (same job, same payload), so attempts 2 through 8 redo work attempt 1 already did, and they do it while the system is already struggling (that's why the job is retrying). Because the library now schedules retries (D4), the retry may run on a different worker process, so keeping the graph in memory won't help; it has to be stored with the job. Storing it once, tagged with a hash of the payload, means every retry reuses it and, as a bonus, always sees the same graph attempt 1 saw.\nStakes if we pick wrong: leave it and a struggling dependency eats up to 8x the read/compute load per failing job; persist it wrong (no payload hash) and a retry could use a stale graph after a payload edit.\nRecommendation: A because it is ~30 lines (serialize on attempt 1, check hash on retry), it removes load from the worst possible moment, and it makes retries deterministic.\nCompleteness: A=10/10, B=5/10, C=4/10\nNet: a small persisted cache with a hash guard vs. redoing attempt 1's work up to 7 more times under load.",
            "header": "Graph cache",
            "multiSelect": false,
            "options": [
              {
                "label": "Persist graph in job data on first attempt (recommended)",
                "description": "\u2705 Retries skip the payload re-fetch and graph walk; load on a struggling dependency drops to one compute per job instead of up to eight. \u2705 Payload hash guard means a changed payload recomputes, and retries otherwise see exactly attempt 1's graph (deterministic) (human: ~1 day / CC: ~15 min). \u274c Serialized graph adds bytes to each job record; needs a unit test for hash-match reuse and hash-mismatch recompute."
              },
              {
                "label": "In-process memo keyed by job id",
                "description": "\u2705 Trivial to write: a Map in the worker module, no serialization. \u2705 Helps when the retry happens to land on the same warm process. \u274c The library may hand the retry to any worker, and a restart wipes the memo, so in practice most retries still recompute; also an unbounded Map is a slow memory leak."
              },
              {
                "label": "Recompute every attempt (as planned)",
                "description": "\u2705 No new persisted state or cache invalidation to reason about. \u2705 Bounded by the 8-attempt cap (D8), so worst case is 8x per failing job, not unbounded. \u274c Redundant DB read + graph walk on every retry, concentrated exactly when a dependency is unhealthy; retries can compute a different graph than attempt 1 if the payload changed."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D11 \u2014 Reuse the dependency graph across retries?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\", Performance section (PLAN.md:21-23).\nELI10: Each attempt currently re-reads the whole job payload from the database and rebuilds a dependency graph from it. The graph doesn't change between attempts (same job, same payload), so attempts 2 through 8 redo work attempt 1 already did, and they do it while the system is already struggling (that's why the job is retrying). Because the library now schedules retries (D4), the retry may run on a different worker process, so keeping the graph in memory won't help; it has to be stored with the job. Storing it once, tagged with a hash of the payload, means every retry reuses it and, as a bonus, always sees the same graph attempt 1 saw.\nStakes if we pick wrong: leave it and a struggling dependency eats up to 8x the read/compute load per failing job; persist it wrong (no payload hash) and a retry could use a stale graph after a payload edit.\nRecommendation: A because it is ~30 lines (serialize on attempt 1, check hash on retry), it removes load from the worst possible moment, and it makes retries deterministic.\nCompleteness: A=10/10, B=5/10, C=4/10\nNet: a small persisted cache with a hash guard vs. redoing attempt 1's work up to 7 more times under load.": "Persist graph in job data on first attempt (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:32:03.923Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_01KuEqpRidShnRQtZibRAnTM",
        "questions": [
          {
            "question": "D12 \u2014 TODO: tune the dead-set alert threshold from production data?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\"; follow-up to D8 (cap + dead set + alert).\nELI10: D8 adds an alert when the dead set grows. At implementation we have to pick a number (say \"more than 20 exhausted jobs in 10 minutes\") with no production data behind it. Too low and it pages on noise; too high and a real outage sits unnoticed. The right number only shows up after a couple of weeks of real traffic.\nWhat: after ~2 weeks in production, review dead-set growth per worker and set per-worker alert thresholds; record the baseline in the runbook.\nWhy: a guessed threshold is either noisy or blind; a measured one is neither.\nPros: the alert becomes trustworthy, so on-call actually reacts to it.\nCons: a calendar reminder someone has to honor; needs whoever owns on-call to spend ~1 hour.\nContext: threshold and owner are set in the D8 implementation; this TODO revisits them with data. Depends on: the retry framework shipping and the dead-set metric existing.\nRecommendation: A because the initial threshold is a guess by construction and the review is cheap.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: a dated follow-up vs. living with a guessed pager threshold.",
            "header": "TODO: alert",
            "multiSelect": false,
            "options": [
              {
                "label": "Add to TODOS.md (recommended)",
                "description": "\u2705 Captures the reasoning and the trigger (2 weeks post-ship) so the tuning actually happens. \u2705 Keeps the initial guess honest by naming it a guess in the runbook. \u274c One more open item to track; written after plan mode exits."
              },
              {
                "label": "Skip, not valuable enough",
                "description": "\u2705 No extra tracking; the implementation threshold stands. \u2705 Fine if the team already has a standing alert-review ritual. \u274c A noisy or blind pager threshold persists until someone happens to notice."
              },
              {
                "label": "Build it now in this PR",
                "description": "\u2705 Nothing deferred. \u2705 Forces thinking about per-worker thresholds up front. \u274c There is no production data yet, so \"building it now\" is still guessing; the value of the TODO is the data."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D12 \u2014 TODO: tune the dead-set alert threshold from production data?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\"; follow-up to D8 (cap + dead set + alert).\nELI10: D8 adds an alert when the dead set grows. At implementation we have to pick a number (say \"more than 20 exhausted jobs in 10 minutes\") with no production data behind it. Too low and it pages on noise; too high and a real outage sits unnoticed. The right number only shows up after a couple of weeks of real traffic.\nWhat: after ~2 weeks in production, review dead-set growth per worker and set per-worker alert thresholds; record the baseline in the runbook.\nWhy: a guessed threshold is either noisy or blind; a measured one is neither.\nPros: the alert becomes trustworthy, so on-call actually reacts to it.\nCons: a calendar reminder someone has to honor; needs whoever owns on-call to spend ~1 hour.\nContext: threshold and owner are set in the D8 implementation; this TODO revisits them with data. Depends on: the retry framework shipping and the dead-set metric existing.\nRecommendation: A because the initial threshold is a guess by construction and the review is cheap.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: a dated follow-up vs. living with a guessed pager threshold.": "Add to TODOS.md (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:33:07.244Z"
      },
      {
        "sessionId": "0c6ac31f-b9f7-4e2c-bee1-8b5d085edf9a",
        "toolUseId": "toolu_011BEkBVoyB88eVnS6axJP56",
        "questions": [
          {
            "question": "D13 \u2014 TODO: sample or aggregate per-attempt retry logs if volume bites?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\"; follow-up to Performance finding P2 (attempt-log volume).\nELI10: The shared policy logs one structured line every time an attempt fails (D5). Normally that's a trickle. During a dependency outage, 2,000 failing jobs \u00d7 8 attempts is ~16,000 lines in 15 minutes. Most log pipelines shrug at that; some bill per line or rate-limit and drop the lines you most need. Whether it matters depends on your log budget, which I can't see.\nWhat: if attempt-log volume during an incident exceeds the log budget, sample attempts 2..7 (keep attempt 1 and the exhausted line) or emit a per-worker counter instead.\nWhy: keep the logs that matter (first failure, final failure) even when the pipeline is under pressure.\nPros: bounded log cost during exactly the incidents where log ingestion is also stressed.\nCons: sampled logs make a single job's retry history harder to trace; premature if the pipeline handles the volume fine.\nContext: only worth doing after seeing one real incident's volume. Depends on: the framework shipping; observe one outage first.\nRecommendation: B because 16k lines per incident is within budget for most pipelines and the fix is trivial if it ever isn't; this is a watch item, not a TODO.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: a speculative TODO vs. noting it in the report's \"what to watch\" and acting only if volume actually bites.",
            "header": "TODO: logs",
            "multiSelect": false,
            "options": [
              {
                "label": "Add to TODOS.md",
                "description": "\u2705 The idea and the trigger condition are captured where someone will see them. \u2705 Zero cost until an incident makes it relevant. \u274c Adds a TODO for a problem that may never occur, diluting the list."
              },
              {
                "label": "Skip, watch item only (recommended)",
                "description": "\u2705 Keeps TODOS.md for real work; the report's failure-modes section notes the volume risk. \u2705 Full per-attempt history stays traceable in logs. \u274c If a pipeline rate-limits during an outage, the first person to notice is on-call, mid-incident."
              },
              {
                "label": "Build it now in this PR",
                "description": "\u2705 Log cost bounded from day one. \u2705 Small: a sample-rate option on the log hook. \u274c Trades away per-attempt traceability before any evidence that volume is a problem."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D13 \u2014 TODO: sample or aggregate per-attempt retry logs if volume bites?\nProject/branch/task: main \u2014 PLAN.md \"Add background job retry framework\"; follow-up to Performance finding P2 (attempt-log volume).\nELI10: The shared policy logs one structured line every time an attempt fails (D5). Normally that's a trickle. During a dependency outage, 2,000 failing jobs \u00d7 8 attempts is ~16,000 lines in 15 minutes. Most log pipelines shrug at that; some bill per line or rate-limit and drop the lines you most need. Whether it matters depends on your log budget, which I can't see.\nWhat: if attempt-log volume during an incident exceeds the log budget, sample attempts 2..7 (keep attempt 1 and the exhausted line) or emit a per-worker counter instead.\nWhy: keep the logs that matter (first failure, final failure) even when the pipeline is under pressure.\nPros: bounded log cost during exactly the incidents where log ingestion is also stressed.\nCons: sampled logs make a single job's retry history harder to trace; premature if the pipeline handles the volume fine.\nContext: only worth doing after seeing one real incident's volume. Depends on: the framework shipping; observe one outage first.\nRecommendation: B because 16k lines per incident is within budget for most pipelines and the fix is trivial if it ever isn't; this is a watch item, not a TODO.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: a speculative TODO vs. noting it in the report's \"what to watch\" and acting only if volume actually bites.": "Add to TODOS.md"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-15T11:33:25.329Z"
      }
    ],
    "preAskPlans": {
      "toolu_011hnyz5zFLtxzQQFdZMojPR": null,
      "toolu_014AwRF4BSy3CGgbtc3pfGWz": null,
      "toolu_01GXqHDCWay8hvq1GrfArksH": null,
      "toolu_01DtninNRGnG3WoyzZjUi2Em": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_013qHfB9gfyw3fYQXQ39v9er": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_01JVgATq6LMXiMifY6j1m96g": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_0175NPRWsxd3kbTZjTTDrduw": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_01EiFuXziZhUfzjsRuoXJNpq": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 full jitter (D7)\nAccepted scope: backoff function returns `random(0, min(cap, base\u00b72^attempt))`; the RNG is injectable so unit tests seed it; a unit test asserts the result stays within [0, cap] for attempts 0..maxAttempts. `base` and `cap` values pending under R7.\nHistory: \u2014\n\n### R7: Max attempts cap and terminal handling for exhausted jobs\nFinding: A3, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 no cap, no terminal destination named (original proposal)\nRuntime evidence: unknown; library presumably has a `attempts`/`maxRetries` option and a failed/dead set (typical), unverified here\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed | fixed |\n| R7 cap + terminal | unspecified, pending | default maxAttempts=8, base=1s, cap=15min; exhausted jobs go to the library's dead/failed set + one structured `job.exhausted` log line + an alert on dead-set growth | default maxAttempts=8, base=1s, cap=15min; exhausted jobs logged only, no dead set, no alert | unbounded retries (no cap) |\n\nQuestion D8:\nD8 \u2014 Cap the retries, and where do exhausted jobs go?\nOptions: A) Cap + dead set + alert (recommended) B) Cap + log only C) No cap, retry until success\nRecommendation: A because a permanently-bad job must stop consuming worker capacity and someone must be able to see and replay it; the dead set already exists in the library and the alert is a one-line metric.\nCompleteness: A=10/10, B=6/10, C=2/10\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_01So8LUFj1z81H8VBxKEFyw6": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 full jitter (D7)\nAccepted scope: backoff function returns `random(0, min(cap, base\u00b72^attempt))`; the RNG is injectable so unit tests seed it; a unit test asserts the result stays within [0, cap] for attempts 0..maxAttempts. `base` and `cap` values pending under R7.\nHistory: \u2014\n\n### R7: Max attempts cap and terminal handling for exhausted jobs\nFinding: A3, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 no cap, no terminal destination named (original proposal)\nRuntime evidence: unknown; library presumably has a `attempts`/`maxRetries` option and a failed/dead set (typical), unverified here\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed | fixed |\n| R7 cap + terminal | unspecified, pending | default maxAttempts=8, base=1s, cap=15min; exhausted jobs go to the library's dead/failed set + one structured `job.exhausted` log line + an alert on dead-set growth | default maxAttempts=8, base=1s, cap=15min; exhausted jobs logged only, no dead set, no alert | unbounded retries (no cap) |\n\nQuestion D8:\nD8 \u2014 Cap the retries, and where do exhausted jobs go?\nOptions: A) Cap + dead set + alert (recommended) B) Cap + log only C) No cap, retry until success\nRecommendation: A because a permanently-bad job must stop consuming worker capacity and someone must be able to see and replay it; the dead set already exists in the library and the alert is a one-line metric.\nCompleteness: A=10/10, B=6/10, C=2/10\n\nActual answer: A \u2014 cap + dead set + alert (D8)\nAccepted scope: retryPolicy defaults maxAttempts=8, base=1s, cap=15min (per-worker override allowed); exhausted jobs land in the library's dead/failed set with last error; one structured `job.exhausted` log line; alert on dead-set growth (threshold to be set at implementation, owner named in runbook).\nHistory: \u2014\n\n### R8: Which errors are retried\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 (no error classification stated), reviewer: Claude (plan-eng-review)\nPlan baseline: implicit retry-everything (original proposal names no classification)\nRuntime evidence: unknown; worker error types not in this repo\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed |\n| R7 cap + terminal | 8 attempts, dead set, alert (D8) | fixed | fixed |\n| R8 error classification | retry everything, pending | retryPolicy exposes `isRetryable(err)`: network/timeout/5xx/429/408 retry; other 4xx, validation and `NonRetryableError` go straight to the dead set | retry every error until the cap |\n\nQuestion D9:\nD9 \u2014 Retry every failure, or only the transient ones?\nOptions: A) Classify: retry transient, dead-letter permanent (recommended) B) Retry everything up to the cap\nRecommendation: A because a 404 webhook URL or a validation error will never succeed, and 8 retries over 15 minutes just delays the dead-letter signal while burning worker time.\nCompleteness: A=10/10, B=6/10\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_01V8oYu9WJesG1m4FLT5k2ZN": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 full jitter (D7)\nAccepted scope: backoff function returns `random(0, min(cap, base\u00b72^attempt))`; the RNG is injectable so unit tests seed it; a unit test asserts the result stays within [0, cap] for attempts 0..maxAttempts. `base` and `cap` values pending under R7.\nHistory: \u2014\n\n### R7: Max attempts cap and terminal handling for exhausted jobs\nFinding: A3, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 no cap, no terminal destination named (original proposal)\nRuntime evidence: unknown; library presumably has a `attempts`/`maxRetries` option and a failed/dead set (typical), unverified here\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed | fixed |\n| R7 cap + terminal | unspecified, pending | default maxAttempts=8, base=1s, cap=15min; exhausted jobs go to the library's dead/failed set + one structured `job.exhausted` log line + an alert on dead-set growth | default maxAttempts=8, base=1s, cap=15min; exhausted jobs logged only, no dead set, no alert | unbounded retries (no cap) |\n\nQuestion D8:\nD8 \u2014 Cap the retries, and where do exhausted jobs go?\nOptions: A) Cap + dead set + alert (recommended) B) Cap + log only C) No cap, retry until success\nRecommendation: A because a permanently-bad job must stop consuming worker capacity and someone must be able to see and replay it; the dead set already exists in the library and the alert is a one-line metric.\nCompleteness: A=10/10, B=6/10, C=2/10\n\nActual answer: A \u2014 cap + dead set + alert (D8)\nAccepted scope: retryPolicy defaults maxAttempts=8, base=1s, cap=15min (per-worker override allowed); exhausted jobs land in the library's dead/failed set with last error; one structured `job.exhausted` log line; alert on dead-set growth (threshold to be set at implementation, owner named in runbook).\nHistory: \u2014\n\n### R8: Which errors are retried\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 (no error classification stated), reviewer: Claude (plan-eng-review)\nPlan baseline: implicit retry-everything (original proposal names no classification)\nRuntime evidence: unknown; worker error types not in this repo\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed |\n| R7 cap + terminal | 8 attempts, dead set, alert (D8) | fixed | fixed |\n| R8 error classification | retry everything, pending | retryPolicy exposes `isRetryable(err)`: network/timeout/5xx/429/408 retry; other 4xx, validation and `NonRetryableError` go straight to the dead set | retry every error until the cap |\n\nQuestion D9:\nD9 \u2014 Retry every failure, or only the transient ones?\nOptions: A) Classify: retry transient, dead-letter permanent (recommended) B) Retry everything up to the cap\nRecommendation: A because a 404 webhook URL or a validation error will never succeed, and 8 retries over 15 minutes just delays the dead-letter signal while burning worker time.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 classify errors (D9)\nAccepted scope: retryPolicy exports `isRetryable(err)`: network/timeout, HTTP 5xx, 408, 429 and unknown errors retry; other HTTP 4xx, validation errors and `NonRetryableError` go to the dead set on the failing attempt. Per-worker override hook for partner-specific mappings. Unit tests per class.\nHistory: \u2014\n\n### R3: Regression contract for the `processWebhookJob()` rewrite\nFinding: S3 / T1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: \"No regression test ... is planned\" (original proposal); delivery contract now at-least-once + idempotency key (D6)\nRuntime evidence: unknown \u2014 no test framework markers or test files in this repo; `processWebhookJob()` not present\nState: pending\n\nBehavior to preserve (unchanged from today): on a successful first attempt exactly one HTTP POST is sent; request body, signature header and content-type are byte-identical to the current implementation; a 2xx marks the job complete with no requeue.\nIntentional differences (D6/D8/D9): transient failure \u2192 redelivery on the shared curve with the same idempotency key and identical body; permanent 4xx \u2192 one POST then dead set; 8 failed attempts \u2192 dead set + `job.exhausted` log.\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8 | approved values (D4\u2013D9) | fixed | fixed | fixed |\n| R3 regression coverage | none planned, pending | unit tests on processWebhookJob with stubbed HTTP + stubbed library retry driver, covering preserve + differences + golden payload snapshot | one integration test through the real queue and an in-process HTTP receiver, covering preserve + differences | A's unit suite plus one integration test through the real queue for: success = 1 POST; 503 then 200 = 2 POSTs same key; 404 = 1 POST then dead set |\n\nQuestion D10:\nD10 \u2014 How do we lock in the webhook regression contract?\nOptions: A) Unit tests with stubs B) One integration test through the real queue C) Unit suite + one real-queue integration test (recommended)\nRecommendation: C because the retry behavior lives at the library boundary (attempt counting, requeue), which is exactly what stubs hide, while the unit suite is where edge cases (payload bytes, header set, error classes) are cheap to enumerate.\nCompleteness: A=7/10, B=6/10, C=10/10\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_01XBaH9m66PtyKnn3biwy9yZ": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\n**(Amended per D6, D10)** `processWebhookJob()` is rewritten under the shared\nretry policy. Delivery becomes at-least-once with a stable per-event\n`Idempotency-Key` header (D6); the contract change is documented for\ncustomers. Regression coverage is required, not optional:\n\n1. **Golden snapshot (capture before rewrite):** body, signature header,\n   content-type of one webhook request from today's implementation;\n   asserted byte-identical after the rewrite.\n2. **Unit tests, `processWebhookJob`:** success \u2192 exactly 1 POST, job\n   complete, no requeue; `Idempotency-Key` = event id and identical on\n   every attempt; transient failure throws retryable; permanent 4xx /\n   validation throws `NonRetryableError`.\n3. **Unit tests, `retryPolicy`:** `backoff()` within `[0, min(cap, base\u00b72^n)]`\n   for n in 0..8 with seeded RNG, no overflow at n\u226530, rng=0 and rng=1\n   bounds; `isRetryable()` per class (network/timeout, 5xx, 408, 429,\n   unknown \u2192 true; other 4xx, validation, NonRetryable \u2192 false);\n   `onAttemptFailed` log shape; `onExhausted` emits `job.exhausted` and\n   the dead-set metric.\n4. **Integration test through the real queue** with an in-process HTTP\n   receiver: 200 \u2192 1 POST; 503 then 200 \u2192 2 POSTs, same key, identical\n   body; 404 \u2192 1 POST then dead set; 8\u00d7503 \u2192 dead set + `job.exhausted`.\n5. **Worker registrations:** each of the 5 workers passes `retryPolicy`\n   with default maxAttempts=8 (or its documented override).\n\n~~Original: The existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.~~\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 full jitter (D7)\nAccepted scope: backoff function returns `random(0, min(cap, base\u00b72^attempt))`; the RNG is injectable so unit tests seed it; a unit test asserts the result stays within [0, cap] for attempts 0..maxAttempts. `base` and `cap` values pending under R7.\nHistory: \u2014\n\n### R7: Max attempts cap and terminal handling for exhausted jobs\nFinding: A3, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 no cap, no terminal destination named (original proposal)\nRuntime evidence: unknown; library presumably has a `attempts`/`maxRetries` option and a failed/dead set (typical), unverified here\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed | fixed |\n| R7 cap + terminal | unspecified, pending | default maxAttempts=8, base=1s, cap=15min; exhausted jobs go to the library's dead/failed set + one structured `job.exhausted` log line + an alert on dead-set growth | default maxAttempts=8, base=1s, cap=15min; exhausted jobs logged only, no dead set, no alert | unbounded retries (no cap) |\n\nQuestion D8:\nD8 \u2014 Cap the retries, and where do exhausted jobs go?\nOptions: A) Cap + dead set + alert (recommended) B) Cap + log only C) No cap, retry until success\nRecommendation: A because a permanently-bad job must stop consuming worker capacity and someone must be able to see and replay it; the dead set already exists in the library and the alert is a one-line metric.\nCompleteness: A=10/10, B=6/10, C=2/10\n\nActual answer: A \u2014 cap + dead set + alert (D8)\nAccepted scope: retryPolicy defaults maxAttempts=8, base=1s, cap=15min (per-worker override allowed); exhausted jobs land in the library's dead/failed set with last error; one structured `job.exhausted` log line; alert on dead-set growth (threshold to be set at implementation, owner named in runbook).\nHistory: \u2014\n\n### R8: Which errors are retried\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 (no error classification stated), reviewer: Claude (plan-eng-review)\nPlan baseline: implicit retry-everything (original proposal names no classification)\nRuntime evidence: unknown; worker error types not in this repo\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed |\n| R7 cap + terminal | 8 attempts, dead set, alert (D8) | fixed | fixed |\n| R8 error classification | retry everything, pending | retryPolicy exposes `isRetryable(err)`: network/timeout/5xx/429/408 retry; other 4xx, validation and `NonRetryableError` go straight to the dead set | retry every error until the cap |\n\nQuestion D9:\nD9 \u2014 Retry every failure, or only the transient ones?\nOptions: A) Classify: retry transient, dead-letter permanent (recommended) B) Retry everything up to the cap\nRecommendation: A because a 404 webhook URL or a validation error will never succeed, and 8 retries over 15 minutes just delays the dead-letter signal while burning worker time.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 classify errors (D9)\nAccepted scope: retryPolicy exports `isRetryable(err)`: network/timeout, HTTP 5xx, 408, 429 and unknown errors retry; other HTTP 4xx, validation errors and `NonRetryableError` go to the dead set on the failing attempt. Per-worker override hook for partner-specific mappings. Unit tests per class.\nHistory: \u2014\n\n### R3: Regression contract for the `processWebhookJob()` rewrite\nFinding: S3 / T1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: \"No regression test ... is planned\" (original proposal); delivery contract now at-least-once + idempotency key (D6)\nRuntime evidence: unknown \u2014 no test framework markers or test files in this repo; `processWebhookJob()` not present\nState: pending\n\nBehavior to preserve (unchanged from today): on a successful first attempt exactly one HTTP POST is sent; request body, signature header and content-type are byte-identical to the current implementation; a 2xx marks the job complete with no requeue.\nIntentional differences (D6/D8/D9): transient failure \u2192 redelivery on the shared curve with the same idempotency key and identical body; permanent 4xx \u2192 one POST then dead set; 8 failed attempts \u2192 dead set + `job.exhausted` log.\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8 | approved values (D4\u2013D9) | fixed | fixed | fixed |\n| R3 regression coverage | none planned, pending | unit tests on processWebhookJob with stubbed HTTP + stubbed library retry driver, covering preserve + differences + golden payload snapshot | one integration test through the real queue and an in-process HTTP receiver, covering preserve + differences | A's unit suite plus one integration test through the real queue for: success = 1 POST; 503 then 200 = 2 POSTs same key; 404 = 1 POST then dead set |\n\nQuestion D10:\nD10 \u2014 How do we lock in the webhook regression contract?\nOptions: A) Unit tests with stubs B) One integration test through the real queue C) Unit suite + one real-queue integration test (recommended)\nRecommendation: C because the retry behavior lives at the library boundary (attempt counting, requeue), which is exactly what stubs hide, while the unit suite is where edge cases (payload bytes, header set, error classes) are cheap to enumerate.\nCompleteness: A=7/10, B=6/10, C=10/10\n\nActual answer: C \u2014 unit suite + one real-queue integration test (D10)\nAccepted scope: (1) golden snapshot of today's webhook request (body, signature header, content-type) captured BEFORE the rewrite and asserted after; (2) unit tests on processWebhookJob: success \u2192 1 POST + complete; Idempotency-Key = event id on every attempt; transient \u2192 retryable throw; permanent \u2192 NonRetryable throw; (3) one integration test through the real queue with an in-process HTTP receiver: 200 \u2192 1 POST; 503 then 200 \u2192 2 POSTs, same key, identical body; 404 \u2192 1 POST then dead set; 8\u00d7503 \u2192 dead set + `job.exhausted`. Test framework to match the repo's existing convention (unknown in this fixture).\nHistory: \u2014\n\n### R5: Dependency-graph recompute on every retry\nFinding: P1, P2, confidence 8/10, PLAN.md:21-23, reviewer: Claude (plan-eng-review)\nPlan baseline: re-fetch payload + recompute graph each attempt; \"cache ... not planned\" (original proposal)\nRuntime evidence: unknown \u2014 graph compute cost unmeasured; bounded to 8 attempts by D8\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8, R3 | approved values (D4\u2013D10) | fixed | fixed | fixed |\n| R5 graph reuse | recompute every attempt, pending | compute once on attempt 1, persist in job data with payload hash; retries reuse when hash matches, else recompute | in-process memo keyed by job id (lost on restart / other worker) | recompute every attempt (as planned) |\n\nQuestion D11:\nD11 \u2014 Reuse the dependency graph across retries?\nOptions: A) Persist graph in job data on first attempt (recommended) B) In-process memo C) Recompute every attempt (as planned)\nRecommendation: A because it removes the redundant DB read and graph walk from the path that runs while a dependency is already unhealthy, and makes retries deterministic (same graph as attempt 1); B does not survive the library handing the retry to another worker.\nCompleteness: A=10/10, B=5/10, C=4/10\n\nActual answer: unanswered\nAccepted scope: none\nHistory: \u2014\n",
      "toolu_01KuEqpRidShnRQtZibRAnTM": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\n**(Amended per D6, D10)** `processWebhookJob()` is rewritten under the shared\nretry policy. Delivery becomes at-least-once with a stable per-event\n`Idempotency-Key` header (D6); the contract change is documented for\ncustomers. Regression coverage is required, not optional:\n\n1. **Golden snapshot (capture before rewrite):** body, signature header,\n   content-type of one webhook request from today's implementation;\n   asserted byte-identical after the rewrite.\n2. **Unit tests, `processWebhookJob`:** success \u2192 exactly 1 POST, job\n   complete, no requeue; `Idempotency-Key` = event id and identical on\n   every attempt; transient failure throws retryable; permanent 4xx /\n   validation throws `NonRetryableError`.\n3. **Unit tests, `retryPolicy`:** `backoff()` within `[0, min(cap, base\u00b72^n)]`\n   for n in 0..8 with seeded RNG, no overflow at n\u226530, rng=0 and rng=1\n   bounds; `isRetryable()` per class (network/timeout, 5xx, 408, 429,\n   unknown \u2192 true; other 4xx, validation, NonRetryable \u2192 false);\n   `onAttemptFailed` log shape; `onExhausted` emits `job.exhausted` and\n   the dead-set metric.\n4. **Integration test through the real queue** with an in-process HTTP\n   receiver: 200 \u2192 1 POST; 503 then 200 \u2192 2 POSTs, same key, identical\n   body; 404 \u2192 1 POST then dead set; 8\u00d7503 \u2192 dead set + `job.exhausted`.\n5. **Worker registrations:** each of the 5 workers passes `retryPolicy`\n   with default maxAttempts=8 (or its documented override).\n\n~~Original: The existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.~~\n\n## Performance\n**(Amended per D11)** On attempt 1 the worker computes the dependency\ngraph and persists it into the job's data alongside `sha256(payload)`.\nOn a retry it loads the payload, compares hashes, and reuses the stored\ngraph on match; on mismatch it recomputes and overwrites. Retries\ntherefore skip the graph walk and see exactly attempt 1's graph.\n\n~~Original: On every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.~~\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 full jitter (D7)\nAccepted scope: backoff function returns `random(0, min(cap, base\u00b72^attempt))`; the RNG is injectable so unit tests seed it; a unit test asserts the result stays within [0, cap] for attempts 0..maxAttempts. `base` and `cap` values pending under R7.\nHistory: \u2014\n\n### R7: Max attempts cap and terminal handling for exhausted jobs\nFinding: A3, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 no cap, no terminal destination named (original proposal)\nRuntime evidence: unknown; library presumably has a `attempts`/`maxRetries` option and a failed/dead set (typical), unverified here\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed | fixed |\n| R7 cap + terminal | unspecified, pending | default maxAttempts=8, base=1s, cap=15min; exhausted jobs go to the library's dead/failed set + one structured `job.exhausted` log line + an alert on dead-set growth | default maxAttempts=8, base=1s, cap=15min; exhausted jobs logged only, no dead set, no alert | unbounded retries (no cap) |\n\nQuestion D8:\nD8 \u2014 Cap the retries, and where do exhausted jobs go?\nOptions: A) Cap + dead set + alert (recommended) B) Cap + log only C) No cap, retry until success\nRecommendation: A because a permanently-bad job must stop consuming worker capacity and someone must be able to see and replay it; the dead set already exists in the library and the alert is a one-line metric.\nCompleteness: A=10/10, B=6/10, C=2/10\n\nActual answer: A \u2014 cap + dead set + alert (D8)\nAccepted scope: retryPolicy defaults maxAttempts=8, base=1s, cap=15min (per-worker override allowed); exhausted jobs land in the library's dead/failed set with last error; one structured `job.exhausted` log line; alert on dead-set growth (threshold to be set at implementation, owner named in runbook).\nHistory: \u2014\n\n### R8: Which errors are retried\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 (no error classification stated), reviewer: Claude (plan-eng-review)\nPlan baseline: implicit retry-everything (original proposal names no classification)\nRuntime evidence: unknown; worker error types not in this repo\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed |\n| R7 cap + terminal | 8 attempts, dead set, alert (D8) | fixed | fixed |\n| R8 error classification | retry everything, pending | retryPolicy exposes `isRetryable(err)`: network/timeout/5xx/429/408 retry; other 4xx, validation and `NonRetryableError` go straight to the dead set | retry every error until the cap |\n\nQuestion D9:\nD9 \u2014 Retry every failure, or only the transient ones?\nOptions: A) Classify: retry transient, dead-letter permanent (recommended) B) Retry everything up to the cap\nRecommendation: A because a 404 webhook URL or a validation error will never succeed, and 8 retries over 15 minutes just delays the dead-letter signal while burning worker time.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 classify errors (D9)\nAccepted scope: retryPolicy exports `isRetryable(err)`: network/timeout, HTTP 5xx, 408, 429 and unknown errors retry; other HTTP 4xx, validation errors and `NonRetryableError` go to the dead set on the failing attempt. Per-worker override hook for partner-specific mappings. Unit tests per class.\nHistory: \u2014\n\n### R3: Regression contract for the `processWebhookJob()` rewrite\nFinding: S3 / T1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: \"No regression test ... is planned\" (original proposal); delivery contract now at-least-once + idempotency key (D6)\nRuntime evidence: unknown \u2014 no test framework markers or test files in this repo; `processWebhookJob()` not present\nState: pending\n\nBehavior to preserve (unchanged from today): on a successful first attempt exactly one HTTP POST is sent; request body, signature header and content-type are byte-identical to the current implementation; a 2xx marks the job complete with no requeue.\nIntentional differences (D6/D8/D9): transient failure \u2192 redelivery on the shared curve with the same idempotency key and identical body; permanent 4xx \u2192 one POST then dead set; 8 failed attempts \u2192 dead set + `job.exhausted` log.\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8 | approved values (D4\u2013D9) | fixed | fixed | fixed |\n| R3 regression coverage | none planned, pending | unit tests on processWebhookJob with stubbed HTTP + stubbed library retry driver, covering preserve + differences + golden payload snapshot | one integration test through the real queue and an in-process HTTP receiver, covering preserve + differences | A's unit suite plus one integration test through the real queue for: success = 1 POST; 503 then 200 = 2 POSTs same key; 404 = 1 POST then dead set |\n\nQuestion D10:\nD10 \u2014 How do we lock in the webhook regression contract?\nOptions: A) Unit tests with stubs B) One integration test through the real queue C) Unit suite + one real-queue integration test (recommended)\nRecommendation: C because the retry behavior lives at the library boundary (attempt counting, requeue), which is exactly what stubs hide, while the unit suite is where edge cases (payload bytes, header set, error classes) are cheap to enumerate.\nCompleteness: A=7/10, B=6/10, C=10/10\n\nActual answer: C \u2014 unit suite + one real-queue integration test (D10)\nAccepted scope: (1) golden snapshot of today's webhook request (body, signature header, content-type) captured BEFORE the rewrite and asserted after; (2) unit tests on processWebhookJob: success \u2192 1 POST + complete; Idempotency-Key = event id on every attempt; transient \u2192 retryable throw; permanent \u2192 NonRetryable throw; (3) one integration test through the real queue with an in-process HTTP receiver: 200 \u2192 1 POST; 503 then 200 \u2192 2 POSTs, same key, identical body; 404 \u2192 1 POST then dead set; 8\u00d7503 \u2192 dead set + `job.exhausted`. Test framework to match the repo's existing convention (unknown in this fixture).\nHistory: \u2014\n\n### R5: Dependency-graph recompute on every retry\nFinding: P1, P2, confidence 8/10, PLAN.md:21-23, reviewer: Claude (plan-eng-review)\nPlan baseline: re-fetch payload + recompute graph each attempt; \"cache ... not planned\" (original proposal)\nRuntime evidence: unknown \u2014 graph compute cost unmeasured; bounded to 8 attempts by D8\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8, R3 | approved values (D4\u2013D10) | fixed | fixed | fixed |\n| R5 graph reuse | recompute every attempt, pending | compute once on attempt 1, persist in job data with payload hash; retries reuse when hash matches, else recompute | in-process memo keyed by job id (lost on restart / other worker) | recompute every attempt (as planned) |\n\nQuestion D11:\nD11 \u2014 Reuse the dependency graph across retries?\nOptions: A) Persist graph in job data on first attempt (recommended) B) In-process memo C) Recompute every attempt (as planned)\nRecommendation: A because it removes the redundant DB read and graph walk from the path that runs while a dependency is already unhealthy, and makes retries deterministic (same graph as attempt 1); B does not survive the library handing the retry to another worker.\nCompleteness: A=10/10, B=5/10, C=4/10\n\nActual answer: A \u2014 persist graph in job data on first attempt (D11)\nAccepted scope: on attempt 1 serialize the dependency graph plus `sha256(payload)` into the job's persisted data; on retry reuse when the hash matches the freshly loaded payload's hash, otherwise recompute and overwrite. Unit tests: hash-match reuse (no graph walk), hash-mismatch recompute, first attempt writes.\nHistory: \u2014\n",
      "toolu_011BEkBVoyB88eVnS6axJP56": "# Plan: Add background job retry framework\n\n> Reviewed target: `PLAN.md` (repo `gstack-plan-count-Af0cJv`, branch `main`, commit 678b2f1) via `/plan-eng-review` on 2026-09-15.\n> Original plan text preserved below; accepted amendments are applied in place and tracked in the Decision ledger.\n\n## Architecture\n**(Amended per D4)** Use the job library's built-in retry hooks. Control\nover the curve comes from one custom backoff function passed to the\nlibrary's retry/backoff option; the library keeps ownership of attempt\ncounting, persistence, and requeue timing. No inline scheduler in workers.\n\n~~Original: We'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.~~\n\n## Code quality\n**(Amended per D5)** One shared `retryPolicy` module holds the backoff\nfunction, the attempt-log hook (structured: job id, worker, attempt,\nnext delay ms, error class) and the default retry options. Each of the\n5 workers imports it and passes it to the library's retry option; no\nper-worker copies. Unit tests cover the module once.\n\n~~Original: The retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"~~\n\n## Tests\n**(Amended per D6, D10)** `processWebhookJob()` is rewritten under the shared\nretry policy. Delivery becomes at-least-once with a stable per-event\n`Idempotency-Key` header (D6); the contract change is documented for\ncustomers. Regression coverage is required, not optional:\n\n1. **Golden snapshot (capture before rewrite):** body, signature header,\n   content-type of one webhook request from today's implementation;\n   asserted byte-identical after the rewrite.\n2. **Unit tests, `processWebhookJob`:** success \u2192 exactly 1 POST, job\n   complete, no requeue; `Idempotency-Key` = event id and identical on\n   every attempt; transient failure throws retryable; permanent 4xx /\n   validation throws `NonRetryableError`.\n3. **Unit tests, `retryPolicy`:** `backoff()` within `[0, min(cap, base\u00b72^n)]`\n   for n in 0..8 with seeded RNG, no overflow at n\u226530, rng=0 and rng=1\n   bounds; `isRetryable()` per class (network/timeout, 5xx, 408, 429,\n   unknown \u2192 true; other 4xx, validation, NonRetryable \u2192 false);\n   `onAttemptFailed` log shape; `onExhausted` emits `job.exhausted` and\n   the dead-set metric.\n4. **Integration test through the real queue** with an in-process HTTP\n   receiver: 200 \u2192 1 POST; 503 then 200 \u2192 2 POSTs, same key, identical\n   body; 404 \u2192 1 POST then dead set; 8\u00d7503 \u2192 dead set + `job.exhausted`.\n5. **Worker registrations:** each of the 5 workers passes `retryPolicy`\n   with default maxAttempts=8 (or its documented override).\n\n~~Original: The existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.~~\n\n## Performance\n**(Amended per D11)** On attempt 1 the worker computes the dependency\ngraph and persists it into the job's data alongside `sha256(payload)`.\nOn a retry it loads the payload, compares hashes, and reuses the stored\ngraph on match; on mismatch it recomputes and overwrites. Retries\ntherefore skip the graph walk and see exactly attempt 1's graph.\n\n~~Original: On every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.~~\n\n## Decision ledger\n\n### R1: Retry scheduler implementation \u2014 custom inline vs library retry hooks\nFinding: S1, P1, confidence 9/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: custom exponential-backoff scheduler rolled inline in each worker (original proposal)\nRuntime evidence: unknown \u2014 library not present in this repo; the plan itself states the library has built-in retry hooks\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | custom inline per worker, pending | library retry hooks + one custom backoff function | custom scheduler (original) | investigate library hook API first |\n| R2 envelope dedup | duplicated x5, pending | pending | pending | pending |\n| R4 webhook delivery semantics | at-most-once, pending | pending | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D4:\nD4 \u2014 Build the retry scheduler on the job library's hooks, or roll a custom one?\nOptions: A) Library retry hooks + custom backoff function (recommended) B) Custom inline scheduler (as planned) C) Investigate the library's hook API first\nRecommendation: A because the stated need (\"full control over the curve\") is met by a custom backoff callback, and the library already owns persistence, requeue timing and attempt counting.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 library retry hooks + one custom backoff function (D4)\nAccepted scope: register retry via the library's hook/option in each worker; implement one custom backoff function; delete the inline scheduler from the plan. Curve values, jitter, cap remain pending (R6, R7).\nHistory: \u2014\n\n### R2: Retry envelope duplication across 5 workers\nFinding: S2, P1, confidence 9/10, PLAN.md:11-13, reviewer: Claude (plan-eng-review)\nPlan baseline: \"leave the duplication for now and refactor later\" (original proposal)\nRuntime evidence: unknown \u2014 worker files not in this repo; plan states 5 copy-pasted bodies\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks + custom backoff fn (D4) | fixed | fixed |\n| R2 envelope dedup | duplicated x5, pending | one shared `retryPolicy` module (backoff fn + attempt-log hook + default options) imported by all 5 workers | per-worker copies of backoff fn + logging; refactor later |\n| R6 jitter | unspecified, pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending |\n\nQuestion D5:\nD5 \u2014 One shared retry policy module, or paste the backoff + logging into each of the 5 workers?\nOptions: A) Shared retryPolicy module now (recommended) B) Per-worker copies, refactor later (as planned)\nRecommendation: A because the curve, cap and log format must stay identical across workers, and with the library owning dispatch the shared piece is ~30 lines.\nCompleteness: A=10/10, B=3/10\n\nActual answer: A \u2014 shared retryPolicy module now (D5)\nAccepted scope: create one `retryPolicy` module (backoff fn, attempt-log hook, default options) with unit tests; each of the 5 workers imports it; remove \"refactor later\" from the plan.\nHistory: \u2014\n\n### R4: Webhook delivery semantics once retries apply to `processWebhookJob()`\nFinding: S3 / A1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: at-most-once delivery today; plan rewrites the flow under the retry framework with no stated contract (original proposal)\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repo; the plan states the prior guarantee was at-most-once\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-most-once, pending | at-least-once with per-event idempotency key header; contract change documented | at-most-once preserved: webhook worker opts out of retry (maxAttempts=1), failures go to terminal handling | investigate: read current webhook contract/docs and consumer expectations before choosing |\n| R3 regression contract | none planned, pending | pending (assertions depend on R4) | pending | pending |\n| R6 jitter | unspecified, pending | pending | pending | pending |\n| R7 max attempts + terminal | unspecified, pending | pending | pending | pending |\n\nQuestion D6:\nD6 \u2014 When webhooks gain retries, what delivery guarantee do customers get?\nOptions: A) At-least-once + idempotency key (recommended) B) Keep at-most-once: webhook worker opts out of retry C) Investigate the current webhook contract first\nRecommendation: A because retrying is the point of touching this flow, and at-least-once with an idempotency key is the guarantee every major webhook provider ships; silently retrying under an at-most-once promise is the one option that is wrong.\nNote: options differ in kind, not coverage \u2014 no completeness score.\n\nActual answer: A \u2014 at-least-once with per-event idempotency key (D6)\nAccepted scope: `processWebhookJob()` runs under the shared retry policy; every delivery attempt for an event carries the same stable idempotency key header (event id) and same payload; the contract change is documented in the webhook docs/changelog. Regression assertions for this contract are carried into R3 (Section 3) as required proof; no separate approval needed for them.\nHistory: \u2014\n\n### R6: Jitter on the backoff curve\nFinding: A2, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 \"full control over the curve\" names no jitter (original proposal)\nRuntime evidence: unknown; 2026 guidance (search check) uniformly recommends jitter\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + idempotency key (D6) | fixed | fixed |\n| R6 jitter | unspecified, pending | full jitter: delay = random(0, min(cap, base\u00b72^attempt)) | none: delay = min(cap, base\u00b72^attempt) |\n| R7 max attempts + terminal | unspecified, pending | pending (cap value pending) | pending |\n\nQuestion D7:\nD7 \u2014 Add jitter to the backoff curve?\nOptions: A) Full jitter (recommended) B) Deterministic exponential, no jitter\nRecommendation: A because a shared-dependency outage fails thousands of jobs in the same second, and without jitter they all retry in lockstep and recreate the spike; full jitter is one `Math.random()` multiply.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 full jitter (D7)\nAccepted scope: backoff function returns `random(0, min(cap, base\u00b72^attempt))`; the RNG is injectable so unit tests seed it; a unit test asserts the result stays within [0, cap] for attempts 0..maxAttempts. `base` and `cap` values pending under R7.\nHistory: \u2014\n\n### R7: Max attempts cap and terminal handling for exhausted jobs\nFinding: A3, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: unspecified \u2014 no cap, no terminal destination named (original proposal)\nRuntime evidence: unknown; library presumably has a `attempts`/`maxRetries` option and a failed/dead set (typical), unverified here\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed | fixed |\n| R7 cap + terminal | unspecified, pending | default maxAttempts=8, base=1s, cap=15min; exhausted jobs go to the library's dead/failed set + one structured `job.exhausted` log line + an alert on dead-set growth | default maxAttempts=8, base=1s, cap=15min; exhausted jobs logged only, no dead set, no alert | unbounded retries (no cap) |\n\nQuestion D8:\nD8 \u2014 Cap the retries, and where do exhausted jobs go?\nOptions: A) Cap + dead set + alert (recommended) B) Cap + log only C) No cap, retry until success\nRecommendation: A because a permanently-bad job must stop consuming worker capacity and someone must be able to see and replay it; the dead set already exists in the library and the alert is a one-line metric.\nCompleteness: A=10/10, B=6/10, C=2/10\n\nActual answer: A \u2014 cap + dead set + alert (D8)\nAccepted scope: retryPolicy defaults maxAttempts=8, base=1s, cap=15min (per-worker override allowed); exhausted jobs land in the library's dead/failed set with last error; one structured `job.exhausted` log line; alert on dead-set growth (threshold to be set at implementation, owner named in runbook).\nHistory: \u2014\n\n### R8: Which errors are retried\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 (no error classification stated), reviewer: Claude (plan-eng-review)\nPlan baseline: implicit retry-everything (original proposal names no classification)\nRuntime evidence: unknown; worker error types not in this repo\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B |\n|---|---|---|---|\n| R1 scheduler | library hooks (D4) | fixed | fixed |\n| R2 dedup | shared module (D5) | fixed | fixed |\n| R4 webhook semantics | at-least-once + key (D6) | fixed | fixed |\n| R6 jitter | full jitter (D7) | fixed | fixed |\n| R7 cap + terminal | 8 attempts, dead set, alert (D8) | fixed | fixed |\n| R8 error classification | retry everything, pending | retryPolicy exposes `isRetryable(err)`: network/timeout/5xx/429/408 retry; other 4xx, validation and `NonRetryableError` go straight to the dead set | retry every error until the cap |\n\nQuestion D9:\nD9 \u2014 Retry every failure, or only the transient ones?\nOptions: A) Classify: retry transient, dead-letter permanent (recommended) B) Retry everything up to the cap\nRecommendation: A because a 404 webhook URL or a validation error will never succeed, and 8 retries over 15 minutes just delays the dead-letter signal while burning worker time.\nCompleteness: A=10/10, B=6/10\n\nActual answer: A \u2014 classify errors (D9)\nAccepted scope: retryPolicy exports `isRetryable(err)`: network/timeout, HTTP 5xx, 408, 429 and unknown errors retry; other HTTP 4xx, validation errors and `NonRetryableError` go to the dead set on the failing attempt. Per-worker override hook for partner-specific mappings. Unit tests per class.\nHistory: \u2014\n\n### R3: Regression contract for the `processWebhookJob()` rewrite\nFinding: S3 / T1, P0, confidence 9/10, PLAN.md:16-18, reviewer: Claude (plan-eng-review)\nPlan baseline: \"No regression test ... is planned\" (original proposal); delivery contract now at-least-once + idempotency key (D6)\nRuntime evidence: unknown \u2014 no test framework markers or test files in this repo; `processWebhookJob()` not present\nState: pending\n\nBehavior to preserve (unchanged from today): on a successful first attempt exactly one HTTP POST is sent; request body, signature header and content-type are byte-identical to the current implementation; a 2xx marks the job complete with no requeue.\nIntentional differences (D6/D8/D9): transient failure \u2192 redelivery on the shared curve with the same idempotency key and identical body; permanent 4xx \u2192 one POST then dead set; 8 failed attempts \u2192 dead set + `job.exhausted` log.\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8 | approved values (D4\u2013D9) | fixed | fixed | fixed |\n| R3 regression coverage | none planned, pending | unit tests on processWebhookJob with stubbed HTTP + stubbed library retry driver, covering preserve + differences + golden payload snapshot | one integration test through the real queue and an in-process HTTP receiver, covering preserve + differences | A's unit suite plus one integration test through the real queue for: success = 1 POST; 503 then 200 = 2 POSTs same key; 404 = 1 POST then dead set |\n\nQuestion D10:\nD10 \u2014 How do we lock in the webhook regression contract?\nOptions: A) Unit tests with stubs B) One integration test through the real queue C) Unit suite + one real-queue integration test (recommended)\nRecommendation: C because the retry behavior lives at the library boundary (attempt counting, requeue), which is exactly what stubs hide, while the unit suite is where edge cases (payload bytes, header set, error classes) are cheap to enumerate.\nCompleteness: A=7/10, B=6/10, C=10/10\n\nActual answer: C \u2014 unit suite + one real-queue integration test (D10)\nAccepted scope: (1) golden snapshot of today's webhook request (body, signature header, content-type) captured BEFORE the rewrite and asserted after; (2) unit tests on processWebhookJob: success \u2192 1 POST + complete; Idempotency-Key = event id on every attempt; transient \u2192 retryable throw; permanent \u2192 NonRetryable throw; (3) one integration test through the real queue with an in-process HTTP receiver: 200 \u2192 1 POST; 503 then 200 \u2192 2 POSTs, same key, identical body; 404 \u2192 1 POST then dead set; 8\u00d7503 \u2192 dead set + `job.exhausted`. Test framework to match the repo's existing convention (unknown in this fixture).\nHistory: \u2014\n\n### R5: Dependency-graph recompute on every retry\nFinding: P1, P2, confidence 8/10, PLAN.md:21-23, reviewer: Claude (plan-eng-review)\nPlan baseline: re-fetch payload + recompute graph each attempt; \"cache ... not planned\" (original proposal)\nRuntime evidence: unknown \u2014 graph compute cost unmeasured; bounded to 8 attempts by D8\nState: pending\n\nComparison grid:\n\n| Choice | Current | A | B | C |\n|---|---|---|---|---|\n| R1\u2013R8, R3 | approved values (D4\u2013D10) | fixed | fixed | fixed |\n| R5 graph reuse | recompute every attempt, pending | compute once on attempt 1, persist in job data with payload hash; retries reuse when hash matches, else recompute | in-process memo keyed by job id (lost on restart / other worker) | recompute every attempt (as planned) |\n\nQuestion D11:\nD11 \u2014 Reuse the dependency graph across retries?\nOptions: A) Persist graph in job data on first attempt (recommended) B) In-process memo C) Recompute every attempt (as planned)\nRecommendation: A because it removes the redundant DB read and graph walk from the path that runs while a dependency is already unhealthy, and makes retries deterministic (same graph as attempt 1); B does not survive the library handing the retry to another worker.\nCompleteness: A=10/10, B=5/10, C=4/10\n\nActual answer: A \u2014 persist graph in job data on first attempt (D11)\nAccepted scope: on attempt 1 serialize the dependency graph plus `sha256(payload)` into the job's persisted data; on retry reuse when the hash matches the freshly loaded payload's hash, otherwise recompute and overwrite. Unit tests: hash-match reuse (no graph walk), hash-mismatch recompute, first attempt writes.\nHistory: \u2014\n"
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            "question": "D1 \u2014 Add gstack skill routing rules to CLAUDE.md?\nProject/branch/task: main branch of the plan-review fixture repo; one-time gstack setup prompt before the retry-framework plan review.\nELI10: gstack skills work best when the project's CLAUDE.md tells Claude which skill to reach for (bugs \u2192 /investigate, architecture \u2192 /plan-eng-review, etc.). Without it you type skill names by hand each time. This is a one-time prompt per project.\nStakes if we pick wrong: Mild either way. Yes means a small committed CLAUDE.md addition; no means manual skill invocation. Note: plan mode is active, so if you pick A the CLAUDE.md write and commit happen after the review exits plan mode, not now.\nRecommendation: A because routing rules are cheap and make the skills fire when they're actually relevant.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: convenience now vs. one small commit to CLAUDE.md.",
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                "description": "\u2705 CLAUDE.md stays untouched; nothing committed to the repo for this. \u2705 You keep full control over when a skill runs. \u274c You have to remember and type /skill-name every time; prompt is declined for this project."
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          "D1 \u2014 Add gstack skill routing rules to CLAUDE.md?\nProject/branch/task: main branch of the plan-review fixture repo; one-time gstack setup prompt before the retry-framework plan review.\nELI10: gstack skills work best when the project's CLAUDE.md tells Claude which skill to reach for (bugs \u2192 /investigate, architecture \u2192 /plan-eng-review, etc.). Without it you type skill names by hand each time. This is a one-time prompt per project.\nStakes if we pick wrong: Mild either way. Yes means a small committed CLAUDE.md addition; no means manual skill invocation. Note: plan mode is active, so if you pick A the CLAUDE.md write and commit happen after the review exits plan mode, not now.\nRecommendation: A because routing rules are cheap and make the skills fire when they're actually relevant.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: convenience now vs. one small commit to CLAUDE.md.": "Add routing rules (recommended)"
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            "question": "D2 \u2014 Run /office-hours first, or go straight to the engineering review?\nProject/branch/task: main branch, reviewing \"Plan: Add background job retry framework\" (PLAN.md).\nELI10: No design doc exists for this change. /office-hours produces a structured problem statement, challenges the premise, and lists alternatives that were considered. It gives this review sharper input to argue against. Takes about 10 minutes. It is per-feature, not per-product: it captures the thinking behind this specific retry-framework change.\nStakes if we pick wrong: Skipping means the review has to infer the \"why\" behind rolling a custom scheduler from four short paragraphs. Running it costs ~10 minutes before any findings land.\nRecommendation: B because the plan is short and its issues are already visible on the surface; the review can name them directly without a preceding design session.\nCompleteness: A=9/10, B=7/10\nNet: 10 minutes of upstream thinking vs. getting to findings now on a plan that is already explicit about its shortcuts.",
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                "label": "Skip, standard review (recommended)",
                "description": "\u2705 Findings arrive immediately; the plan already states its tradeoffs plainly enough to review. \u2705 No extra session or artifacts to maintain for a plan this size. \u274c The review must infer the motivation for \"full control over the curve\" rather than read it."
              },
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                "label": "Run /office-hours now",
                "description": "\u2705 Produces a design doc with problem statement, premise challenge, and explored alternatives. \u2705 The review then argues against stated reasoning instead of guessing at it. \u274c About 10 minutes (human: ~30 min / CC: ~10 min) before any review finding lands."
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          "D2 \u2014 Run /office-hours first, or go straight to the engineering review?\nProject/branch/task: main branch, reviewing \"Plan: Add background job retry framework\" (PLAN.md).\nELI10: No design doc exists for this change. /office-hours produces a structured problem statement, challenges the premise, and lists alternatives that were considered. It gives this review sharper input to argue against. Takes about 10 minutes. It is per-feature, not per-product: it captures the thinking behind this specific retry-framework change.\nStakes if we pick wrong: Skipping means the review has to infer the \"why\" behind rolling a custom scheduler from four short paragraphs. Running it costs ~10 minutes before any findings land.\nRecommendation: B because the plan is short and its issues are already visible on the surface; the review can name them directly without a preceding design session.\nCompleteness: A=9/10, B=7/10\nNet: 10 minutes of upstream thinking vs. getting to findings now on a plan that is already explicit about its shortcuts.": "Skip, standard review (recommended)"
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            "question": "D3 \u2014 Let gstack search learnings from your other projects on this machine?\nProject/branch/task: main branch, reviewing \"Plan: Add background job retry framework\"; one-time gstack setting before the review's prior-learnings search.\nELI10: gstack records small lessons per project (pitfalls, patterns). Cross-project mode lets this review also read lessons saved from your other repos on this machine, so a retry-scheduler footgun learned elsewhere shows up here. Everything stays local; nothing leaves the machine.\nStakes if we pick wrong: Enabling on a machine that hosts several clients' codebases mixes context between them. Disabling on a solo machine just means fewer prior learnings surface.\nRecommendation: A because it is a local-only read and compounds learnings across your own work; skip only if you keep separate client codebases here.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: more prior context surfaced vs. strict per-project isolation.",
            "header": "Learnings",
            "multiSelect": false,
            "options": [
              {
                "label": "Enable cross-project (recommended)",
                "description": "\u2705 Reviews here can reuse pitfalls and patterns saved from your other local projects. \u2705 Stays on this machine; no network, no upload, reversible with one config command. \u274c On a shared machine with multiple client codebases, learnings can cross client boundaries."
              },
              {
                "label": "Project-scoped only",
                "description": "\u2705 Strict isolation: each project's learnings stay with that project. \u2705 Safe default when you work on multiple clients' codebases from one machine. \u274c First reviews in a new project start cold; nothing from prior repos carries over."
              }
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          "D3 \u2014 Let gstack search learnings from your other projects on this machine?\nProject/branch/task: main branch, reviewing \"Plan: Add background job retry framework\"; one-time gstack setting before the review's prior-learnings search.\nELI10: gstack records small lessons per project (pitfalls, patterns). Cross-project mode lets this review also read lessons saved from your other repos on this machine, so a retry-scheduler footgun learned elsewhere shows up here. Everything stays local; nothing leaves the machine.\nStakes if we pick wrong: Enabling on a machine that hosts several clients' codebases mixes context between them. Disabling on a solo machine just means fewer prior learnings surface.\nRecommendation: A because it is a local-only read and compounds learnings across your own work; skip only if you keep separate client codebases here.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: more prior context surfaced vs. strict per-project isolation.": "Enable cross-project (recommended)"
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            "question": "D4 \u2014 Who owns retry scheduling: the job library's hooks, or a custom scheduler inlined in each worker?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:6-8).\nELI10: The plan rebuilds something the job library already does: deciding when a failed job runs again. The plan's reason is \"full control over the curve\", but every mainstream job library lets you plug in your own delay function while it still owns the hard part: remembering the pending retry so it survives a worker crash or deploy. An in-process scheduler forgets every pending retry the moment the worker restarts.\nStakes if we pick wrong: Custom inline scheduling means retries silently vanish on every deploy, plus five copies of scheduler code to keep correct. Library hooks mean one shared backoff function and persisted retry state, at the cost of learning the hook API.\nRecommendation: A because it keeps full control over the curve (one function you own) while the library keeps retry state durable. [Layer 1] reuse; the plan already names the built-in it is avoiding.\nCompleteness: A=10/10, B=5/10, C=n/a (investigation, no change)\nNet: owning one backoff function vs. owning a scheduler and its crash-persistence problem in five places. (human: A ~1 day / CC: ~20 min; B ~3 days / CC: ~1 hr plus persistence work)",
            "header": "Scheduler",
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                "label": "Library hooks + shared backoff (recommended)",
                "description": "\u2705 Retry state lives in the queue, so pending retries survive worker restarts and deploys. \u2705 Full curve control via one shared computeBackoff(attempt) function; nothing to re-implement. \u274c Bound to the library's hook signature; any curve feature it cannot express needs a workaround."
              },
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                "label": "Custom inline scheduler (as planned)",
                "description": "\u2705 No dependency on the library's hook API or its release cadence. \u2705 Arbitrary scheduling logic possible, including cross-job coordination. \u274c Pending retries are lost on worker restart unless you also build persistence; five copies of scheduler code to keep correct."
              },
              {
                "label": "Investigate library hooks first",
                "description": "\u2705 Confirms the actual hook signature and whether it accepts a per-attempt delay function before committing. \u2705 Cheap: read the library docs and one existing worker (CC: ~5 min). \u274c Delays the decision; leaves R1 pending and blocks the dependent dedup choice."
              }
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        "answered": true,
        "failed": false,
        "answers": {
          "D4 \u2014 Who owns retry scheduling: the job library's hooks, or a custom scheduler inlined in each worker?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:6-8).\nELI10: The plan rebuilds something the job library already does: deciding when a failed job runs again. The plan's reason is \"full control over the curve\", but every mainstream job library lets you plug in your own delay function while it still owns the hard part: remembering the pending retry so it survives a worker crash or deploy. An in-process scheduler forgets every pending retry the moment the worker restarts.\nStakes if we pick wrong: Custom inline scheduling means retries silently vanish on every deploy, plus five copies of scheduler code to keep correct. Library hooks mean one shared backoff function and persisted retry state, at the cost of learning the hook API.\nRecommendation: A because it keeps full control over the curve (one function you own) while the library keeps retry state durable. [Layer 1] reuse; the plan already names the built-in it is avoiding.\nCompleteness: A=10/10, B=5/10, C=n/a (investigation, no change)\nNet: owning one backoff function vs. owning a scheduler and its crash-persistence problem in five places. (human: A ~1 day / CC: ~20 min; B ~3 days / CC: ~1 hr plus persistence work)": "Library hooks + shared backoff (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:43:02.339Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_01Ta1rG5ARfgjVnTjYS1G1Qd",
        "questions": [
          {
            "question": "D5 \u2014 What delivery guarantee do webhooks have once they can retry?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:16-18), Architecture review.\nELI10: Today a webhook is sent at most once: if it fails, it is gone, but a receiver never sees it twice. The moment you retry, a webhook whose response timed out may have actually arrived, so the retry delivers it again. That is a contract change for every customer receiving webhooks, and the plan does not say so. Receivers can only dedupe if every delivery carries a stable id.\nStakes if we pick wrong: Silent duplicates mean customers get double charges, double emails, or double state changes with no way to detect it. Preserving at-most-once means most real failures (timeouts, 5xx) can never be retried, which is most of the value.\nRecommendation: A because at-least-once plus a stable idempotency key is the industry-standard webhook contract (Stripe, GitHub, Shopify all do this) and it makes retries safe for receivers.\nCompleteness: A=10/10, B=6/10, C=2/10\nNet: safe retries with a documented receiver contract vs. no duplicates but almost no retries vs. duplicates with no warning. (human: A ~1 day / CC: ~20 min; B ~half day / CC: ~15 min)",
            "header": "Webhooks",
            "multiSelect": false,
            "options": [
              {
                "label": "At-least-once + idempotency key (recommended)",
                "description": "\u2705 Every failure class becomes retryable; receivers dedupe on a stable event/delivery id header. \u2705 Matches what every major webhook provider documents, so receivers already expect it. \u274c Contract change: must be documented for receivers and needs a stable id persisted with the job across attempts."
              },
              {
                "label": "Preserve at-most-once",
                "description": "\u2705 No receiver ever sees a duplicate; existing receiver code needs no change. \u2705 Still safe to retry provable pre-send failures like connection refused or DNS errors. \u274c Timeouts and 5xx responses cannot be retried, so most real-world webhook failures stay unrecovered."
              },
              {
                "label": "Keep plan as written (no contract)",
                "description": "\u2705 Zero extra work in this change; smallest diff. \u2705 Behavior matches whatever the rewrite happens to do. \u274c Duplicates reach receivers with no id to dedupe on and no documentation that the guarantee changed."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D5 \u2014 What delivery guarantee do webhooks have once they can retry?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:16-18), Architecture review.\nELI10: Today a webhook is sent at most once: if it fails, it is gone, but a receiver never sees it twice. The moment you retry, a webhook whose response timed out may have actually arrived, so the retry delivers it again. That is a contract change for every customer receiving webhooks, and the plan does not say so. Receivers can only dedupe if every delivery carries a stable id.\nStakes if we pick wrong: Silent duplicates mean customers get double charges, double emails, or double state changes with no way to detect it. Preserving at-most-once means most real failures (timeouts, 5xx) can never be retried, which is most of the value.\nRecommendation: A because at-least-once plus a stable idempotency key is the industry-standard webhook contract (Stripe, GitHub, Shopify all do this) and it makes retries safe for receivers.\nCompleteness: A=10/10, B=6/10, C=2/10\nNet: safe retries with a documented receiver contract vs. no duplicates but almost no retries vs. duplicates with no warning. (human: A ~1 day / CC: ~20 min; B ~half day / CC: ~15 min)": "At-least-once + idempotency key (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:43:45.990Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_01DMA8V45n5fvJ5GZtjjVXtJ",
        "questions": [
          {
            "question": "D6.1 \u2014 How many times does a job retry, and what happens after the last failure?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Architecture review, retry policy bounds (the plan states none).\nELI10: \"Exponential backoff\" says how long to wait between tries, not when to stop. Without a max, a job hitting a permanently dead endpoint retries forever and you never find out. With a max you also have to decide where the job goes after its final failure: parked somewhere you can inspect and replay (dead-letter), or just marked failed in a log line.\nStakes if we pick wrong: Unbounded means zombie jobs eating queue capacity indefinitely. Bounded with log-only means the final error scrolls past at 3am and the payload is gone; nobody can replay it.\nRecommendation: A because dead-letter is the difference between \"we lost 40 webhooks last night\" and \"we replayed 40 webhooks this morning\". Most job libraries already ship a failed/dead set, so it is configuration, not code.\nCompleteness: A=10/10, B=7/10, C=2/10\nNet: replayable failures vs. a log line vs. jobs that never stop. (human: A ~half day / CC: ~10 min; B ~2 hrs / CC: ~5 min)",
            "header": "Max attempts",
            "multiSelect": false,
            "options": [
              {
                "label": "Bounded + dead-letter (recommended)",
                "description": "\u2705 Final failures are parked with payload and last error; an operator can inspect and replay them. \u2705 Per-job-type max attempts (default 8) plus an alert-level log on terminal failure makes silent loss impossible. \u274c Someone has to own the dead-letter set; unwatched it becomes a graveyard."
              },
              {
                "label": "Bounded + fail and log only",
                "description": "\u2705 Simplest bounded policy; a max-attempts number and a log line, nothing to operate. \u2705 Queue capacity is protected exactly as in A. \u274c After the final failure the payload is gone; recovery means re-creating the job by hand from logs."
              },
              {
                "label": "Unbounded retries",
                "description": "\u2705 No job is ever declared dead; transient outages of any length eventually recover. \u2705 Zero policy decisions to make per job type. \u274c Permanently failing jobs retry forever, consuming queue slots and hammering dead endpoints with no signal to anyone."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D6.1 \u2014 How many times does a job retry, and what happens after the last failure?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Architecture review, retry policy bounds (the plan states none).\nELI10: \"Exponential backoff\" says how long to wait between tries, not when to stop. Without a max, a job hitting a permanently dead endpoint retries forever and you never find out. With a max you also have to decide where the job goes after its final failure: parked somewhere you can inspect and replay (dead-letter), or just marked failed in a log line.\nStakes if we pick wrong: Unbounded means zombie jobs eating queue capacity indefinitely. Bounded with log-only means the final error scrolls past at 3am and the payload is gone; nobody can replay it.\nRecommendation: A because dead-letter is the difference between \"we lost 40 webhooks last night\" and \"we replayed 40 webhooks this morning\". Most job libraries already ship a failed/dead set, so it is configuration, not code.\nCompleteness: A=10/10, B=7/10, C=2/10\nNet: replayable failures vs. a log line vs. jobs that never stop. (human: A ~half day / CC: ~10 min; B ~2 hrs / CC: ~5 min)": "Bounded + dead-letter (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:44:21.611Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_012yg5PsgzReuVmMcNme8FL1",
        "questions": [
          {
            "question": "D6.2 \u2014 Should the backoff delay have a maximum, or grow without limit?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Architecture review, retry policy bounds. Max attempts (default 8) and dead-letter are already approved (D6.1); this decides only the per-attempt wait.\nELI10: Exponential backoff doubles the wait each time: 1s, 2s, 4s, 8s... By attempt 12 that is over an hour; by attempt 20 it is 12 days. A cap says \"never wait more than X\", so late retries keep a sane cadence instead of drifting into next week. With 8 attempts the difference is small, but a per-job-type override to 15 or 20 attempts makes it enormous.\nStakes if we pick wrong: Uncapped means a job type configured for more attempts silently waits days between tries. Capped costs one min() call.\nRecommendation: A because a cap is one line, makes the total retry window predictable, and every production backoff implementation (AWS SDK, gRPC, Google's guidance) caps.\nCompleteness: A=10/10, B=6/10\nNet: a predictable retry window vs. one fewer parameter. (human: ~1 hr / CC: ~2 min either way)",
            "header": "Delay cap",
            "multiSelect": false,
            "options": [
              {
                "label": "Cap at per-job-type max (recommended)",
                "description": "\u2705 delay = min(base * 2^attempt, maxDelay); default maxDelay 1 hour, overridable per worker. \u2705 Total retry window stays predictable even when a job type raises its attempt count. \u274c One more parameter to document and test alongside base and maxAttempts."
              },
              {
                "label": "No cap, pure exponential",
                "description": "\u2705 Simplest formula; base and attempt count fully determine the curve. \u2705 Long tails naturally back off hard from a struggling downstream. \u274c Job types with higher attempt counts wait hours then days between tries with no ceiling."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D6.2 \u2014 Should the backoff delay have a maximum, or grow without limit?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Architecture review, retry policy bounds. Max attempts (default 8) and dead-letter are already approved (D6.1); this decides only the per-attempt wait.\nELI10: Exponential backoff doubles the wait each time: 1s, 2s, 4s, 8s... By attempt 12 that is over an hour; by attempt 20 it is 12 days. A cap says \"never wait more than X\", so late retries keep a sane cadence instead of drifting into next week. With 8 attempts the difference is small, but a per-job-type override to 15 or 20 attempts makes it enormous.\nStakes if we pick wrong: Uncapped means a job type configured for more attempts silently waits days between tries. Capped costs one min() call.\nRecommendation: A because a cap is one line, makes the total retry window predictable, and every production backoff implementation (AWS SDK, gRPC, Google's guidance) caps.\nCompleteness: A=10/10, B=6/10\nNet: a predictable retry window vs. one fewer parameter. (human: ~1 hr / CC: ~2 min either way)": "Cap at per-job-type max (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:44:56.733Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_01Wj8uYWnphP83LXf6qYpKqV",
        "questions": [
          {
            "question": "D6.3 \u2014 Randomize each retry delay (jitter), or keep delays deterministic?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Architecture review, last retry-policy bound. Attempts, dead-letter and cap are approved (D6.1, D6.2); this decides only whether delays are randomized.\nELI10: When a downstream service blips, hundreds of jobs fail in the same second. Without jitter they all retry in the same second too, then the same second again: a thundering herd that keeps knocking the service over. Jitter spreads each retry randomly across its window so the herd arrives as a trickle. The cost is that tests need an injectable random source to stay deterministic.\nStakes if we pick wrong: No jitter means your own retries can prolong the outage they are recovering from. Jitter without an injectable RNG means flaky tests.\nRecommendation: A because full jitter (random between 0 and the capped delay) is the documented best practice from AWS's backoff analysis and costs one random() call plus an injected RNG parameter.\nCompleteness: A=10/10, B=6/10\nNet: outage-safe retry spreading vs. simpler, exactly predictable delays. (human: ~2 hrs / CC: ~3 min either way)",
            "header": "Jitter",
            "multiSelect": false,
            "options": [
              {
                "label": "Full jitter, injectable RNG (recommended)",
                "description": "\u2705 Correlated failures spread across the retry window instead of retrying in lockstep. \u2705 Injected RNG keeps computeBackoff tests exact (seeded) and lets a bounds test assert 0 <= delay <= cap. \u274c Individual retry times are no longer predictable by hand from the attempt number."
              },
              {
                "label": "Deterministic, no jitter",
                "description": "\u2705 Delay is a pure function of attempt number; trivially testable and easy to reason about in logs. \u2705 No RNG parameter to thread through. \u274c Every job that failed together retries together, so a recovering downstream gets hit by the whole herd at once."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D6.3 \u2014 Randomize each retry delay (jitter), or keep delays deterministic?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Architecture review, last retry-policy bound. Attempts, dead-letter and cap are approved (D6.1, D6.2); this decides only whether delays are randomized.\nELI10: When a downstream service blips, hundreds of jobs fail in the same second. Without jitter they all retry in the same second too, then the same second again: a thundering herd that keeps knocking the service over. Jitter spreads each retry randomly across its window so the herd arrives as a trickle. The cost is that tests need an injectable random source to stay deterministic.\nStakes if we pick wrong: No jitter means your own retries can prolong the outage they are recovering from. Jitter without an injectable RNG means flaky tests.\nRecommendation: A because full jitter (random between 0 and the capped delay) is the documented best practice from AWS's backoff analysis and costs one random() call plus an injected RNG parameter.\nCompleteness: A=10/10, B=6/10\nNet: outage-safe retry spreading vs. simpler, exactly predictable delays. (human: ~2 hrs / CC: ~3 min either way)": "Full jitter, injectable RNG (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:45:26.344Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_01E4r58AkNbPsernd49YcWmR",
        "questions": [
          {
            "question": "D7 \u2014 Extract the retry envelope into one shared module now, or keep five copy-pasted copies and refactor later?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:11-13), Code Quality review.\nELI10: The plan says the same block of code (compute delay, log the attempt, dispatch) will be pasted into five worker files and cleaned up \"later\". Every bound we just approved (cap, jitter, max attempts, dead-letter) would then be implemented five times, and every future fix has to land in five places or the workers silently drift apart. With the library-hook approach from D4, the shared version is small: one module with computeBackoff, logAttempt and a wrapper that registers the hook; each worker becomes a one-line policy declaration.\nStakes if we pick wrong: Five copies means the first bug fix ships to four workers and misses the fifth. Extracting now costs about the same as pasting it once, since there is only one body to write.\nRecommendation: A because DRY here is not premature abstraction: the five call sites already exist, the body is identical by the plan's own words, and \"later\" refactors of retry code rarely happen because the code appears to work.\nCompleteness: A=10/10, B=4/10\nNet: one place to get retries right vs. five places to get them wrong. (human: A ~1 day / CC: ~15 min; B ~1 day now plus a refactor ticket nobody picks up)",
            "header": "DRY",
            "multiSelect": false,
            "options": [
              {
                "label": "Extract shared retry module now (recommended)",
                "description": "\u2705 Cap, jitter, max attempts, dead-letter, logging land once; five workers declare {maxAttempts, base, maxDelay} and nothing else. \u2705 One test suite proves the envelope; per-worker tests only check the hook is wired and the policy values. \u274c Introduces one new module the team must learn; a worker with a truly unique need has to extend it rather than fork it."
              },
              {
                "label": "Keep 5 copies, refactor later",
                "description": "\u2705 Each worker is self-contained; you can read one file and see everything it does. \u2705 No new shared abstraction to design under time pressure. \u274c Every approved bound is written and tested five times; drift between copies is invisible until a production incident shows one worker retrying differently."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D7 \u2014 Extract the retry envelope into one shared module now, or keep five copy-pasted copies and refactor later?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:11-13), Code Quality review.\nELI10: The plan says the same block of code (compute delay, log the attempt, dispatch) will be pasted into five worker files and cleaned up \"later\". Every bound we just approved (cap, jitter, max attempts, dead-letter) would then be implemented five times, and every future fix has to land in five places or the workers silently drift apart. With the library-hook approach from D4, the shared version is small: one module with computeBackoff, logAttempt and a wrapper that registers the hook; each worker becomes a one-line policy declaration.\nStakes if we pick wrong: Five copies means the first bug fix ships to four workers and misses the fifth. Extracting now costs about the same as pasting it once, since there is only one body to write.\nRecommendation: A because DRY here is not premature abstraction: the five call sites already exist, the body is identical by the plan's own words, and \"later\" refactors of retry code rarely happen because the code appears to work.\nCompleteness: A=10/10, B=4/10\nNet: one place to get retries right vs. five places to get them wrong. (human: A ~1 day / CC: ~15 min; B ~1 day now plus a refactor ticket nobody picks up)": "Extract shared retry module now (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:46:03.978Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_014FxGdPBeifX4gqPAkwzaeW",
        "questions": [
          {
            "question": "D8 \u2014 Should every failure retry, or should permanent failures skip straight to dead-letter?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Code Quality review, error-handling gap. The plan never says which errors retry.\nELI10: Some failures fix themselves if you wait: a timeout, a 503, a dropped connection. Others never will: a webhook URL returning 404, a payload that fails validation, a bug in the job. Retrying a permanent failure eight times over four hours does nothing except delay the moment someone finds out and burn queue capacity. A small classifier (network/timeout/5xx/429 retry; 4xx/validation/explicit NonRetryableError go terminal) sends permanent failures to dead-letter on the first attempt.\nStakes if we pick wrong: Retry-everything hides bugs for hours and hammers customers' dead webhook endpoints with 8 identical requests. Over-aggressive classification can mark a recoverable error terminal; that is why 408/425/429 stay retryable.\nRecommendation: A because the taxonomy is small, well-known (it mirrors what Stripe and Sidekiq do), and it is the only way dead-letter surfaces real bugs quickly.\nCompleteness: A=10/10, B=5/10\nNet: fast surfacing of real failures vs. simpler rule that delays every permanent failure by the full retry window. (human: A ~half day / CC: ~10 min)",
            "header": "Errors",
            "multiSelect": false,
            "options": [
              {
                "label": "Classify retryable vs permanent (recommended)",
                "description": "\u2705 Permanent failures (4xx except 408/425/429, validation, NonRetryableError) dead-letter on attempt 1 with the real error attached. \u2705 Retryable set is explicit and tested: network errors, timeouts, 5xx, 408/425/429. \u274c A misclassified error class can go terminal too early; the taxonomy needs a test per class and a documented escape hatch."
              },
              {
                "label": "Retry every error to maxAttempts",
                "description": "\u2705 No taxonomy to maintain; one rule that can never wrongly declare a recoverable error terminal. \u2705 Smallest code path in the shared module. \u274c A validation bug or dead webhook URL retries 8 times over hours before anyone sees it, and receivers get 8 identical failing requests."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D8 \u2014 Should every failure retry, or should permanent failures skip straight to dead-letter?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; Code Quality review, error-handling gap. The plan never says which errors retry.\nELI10: Some failures fix themselves if you wait: a timeout, a 503, a dropped connection. Others never will: a webhook URL returning 404, a payload that fails validation, a bug in the job. Retrying a permanent failure eight times over four hours does nothing except delay the moment someone finds out and burn queue capacity. A small classifier (network/timeout/5xx/429 retry; 4xx/validation/explicit NonRetryableError go terminal) sends permanent failures to dead-letter on the first attempt.\nStakes if we pick wrong: Retry-everything hides bugs for hours and hammers customers' dead webhook endpoints with 8 identical requests. Over-aggressive classification can mark a recoverable error terminal; that is why 408/425/429 stay retryable.\nRecommendation: A because the taxonomy is small, well-known (it mirrors what Stripe and Sidekiq do), and it is the only way dead-letter surfaces real bugs quickly.\nCompleteness: A=10/10, B=5/10\nNet: fast surfacing of real failures vs. simpler rule that delays every permanent failure by the full retry window. (human: A ~half day / CC: ~10 min)": "Classify retryable vs permanent (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:46:39.616Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_018fGK2EGiKfgzhN2LndrXYx",
        "questions": [
          {
            "question": "D9 \u2014 What regression contract protects the processWebhookJob() rewrite?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:16-18), Test review. The plan rewrites an existing flow with zero regression coverage; the IRON RULE says this is how to cover it, not whether.\nELI10: You are rewriting the code that sends webhooks to customers. Some behavior must stay identical (the request body, headers, signature on a successful send), and some changes on purpose (retries, a new delivery-id header, dead-letter). A regression contract writes both lists down as tests, so the rewrite cannot quietly break the first list while adding the second.\nStakes if we pick wrong: Without the full contract, a subtle body or signature change ships and every customer's signature verification starts failing; or a timeout retries but the delivery id differs and receivers cannot dedupe. Existing test coverage for this flow could not be graded: the code is not in this repo.\nRecommendation: A because six assertions cost minutes with CC, and the one E2E case (worker restart during backoff) is the only thing that actually proves the D4 persistence claim.\nCompleteness: A=10/10, B=6/10\nNet: the whole contract, including the failure paths that motivated this change, vs. the two easy ones. (human: A ~1.5 days / CC: ~25 min; B ~half day / CC: ~8 min)",
            "header": "Regression",
            "multiSelect": false,
            "options": [
              {
                "label": "Full contract, 6 assertions (recommended)",
                "description": "\u2705 Preserves: success path sends exactly one request with identical body, headers and signature; same X-Delivery-Id on every attempt. \u2705 Proves intended changes: 4xx sends once then dead-letters; timeout/5xx retries with the same id; maxAttempts exhausted dead-letters; worker restart mid-backoff still fires the retry [\u2192E2E]. \u274c One E2E test needs a real queue backend in CI, which may be new infrastructure for this project."
              },
              {
                "label": "Happy path + delivery id only",
                "description": "\u2705 Catches the highest-blast-radius regression: a changed body or signature on the success path. \u2705 Pure unit tests, no queue backend needed in CI. \u274c Retry, dead-letter and restart paths, the entire reason for this change, ship with no proof they behave as approved."
              }
            ]
          }
        ],
        "answered": true,
        "failed": false,
        "answers": {
          "D9 \u2014 What regression contract protects the processWebhookJob() rewrite?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:16-18), Test review. The plan rewrites an existing flow with zero regression coverage; the IRON RULE says this is how to cover it, not whether.\nELI10: You are rewriting the code that sends webhooks to customers. Some behavior must stay identical (the request body, headers, signature on a successful send), and some changes on purpose (retries, a new delivery-id header, dead-letter). A regression contract writes both lists down as tests, so the rewrite cannot quietly break the first list while adding the second.\nStakes if we pick wrong: Without the full contract, a subtle body or signature change ships and every customer's signature verification starts failing; or a timeout retries but the delivery id differs and receivers cannot dedupe. Existing test coverage for this flow could not be graded: the code is not in this repo.\nRecommendation: A because six assertions cost minutes with CC, and the one E2E case (worker restart during backoff) is the only thing that actually proves the D4 persistence claim.\nCompleteness: A=10/10, B=6/10\nNet: the whole contract, including the failure paths that motivated this change, vs. the two easy ones. (human: A ~1.5 days / CC: ~25 min; B ~half day / CC: ~8 min)": "Full contract, 6 assertions (recommended)"
        },
        "unansweredQuestionIndices": [],
        "answeredAt": "2026-09-16T02:47:19.275Z"
      },
      {
        "sessionId": "08a13d57-f9ca-4139-b3e7-a98bdb825a56",
        "toolUseId": "toolu_01R3wXMeGdMJLPL8GipEUCB1",
        "questions": [
          {
            "question": "D10 \u2014 Cache the dependency graph across retries, and if so where?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:21-23), Performance review.\nELI10: Each retry currently reloads the whole job payload from the database and walks it again to rebuild a dependency graph that did not change since the first attempt. With 8 attempts that is 8x the DB reads and 8x the CPU for a result computed correctly on attempt 1. The plan notes the fix and skips it. The catch with any cache is staleness: if the payload can be edited between attempts, the cached graph must be thrown away. Storing the graph next to the job with a payload version stamp handles that explicitly; a cache in worker memory does not survive restarts and cannot see edits.\nStakes if we pick wrong: Recompute means retry storms during an outage multiply DB load exactly when the DB is already stressed. An in-memory memo serves a stale graph after a payload edit, silently.\nRecommendation: A because it removes the redundant work, survives worker restarts (consistent with D4), and makes staleness an explicit, testable branch instead of a hidden one. Cost per recompute is unmeasured here; the win is proportional to attempt count.\nCompleteness: A=10/10, B=5/10, C=3/10\nNet: explicit persisted cache with a version check vs. a fragile process-local memo vs. paying the full cost up to 8 times. (human: A ~1 day / CC: ~15 min; B ~2 hrs / CC: ~5 min)",
            "header": "Graph cache",
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                "label": "Persist graph with job, version-keyed (recommended)",
                "description": "\u2705 Attempt 1 stores the serialized graph plus a payloadVersion (updatedAt or hash); retries skip fetch-and-iterate when versions match. \u2705 Survives worker restarts and makes staleness an explicit tested branch: version mismatch recomputes. \u274c Adds a serialized column/field to the job record and a version stamp the payload writer must maintain."
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                "label": "In-process memo keyed by job id",
                "description": "\u2705 No schema change; a Map in the worker process. \u2705 Fast when the retry lands on the same process quickly. \u274c Lost on restart and blind to payload edits between attempts, so it can serve a stale graph with no signal."
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              {
                "label": "Recompute every attempt (as planned)",
                "description": "\u2705 Always fresh; no cache invalidation to get wrong. \u2705 Zero additional code or schema. \u274c Up to 8x the DB reads and graph walks per job, concentrated during outages when retries spike and the DB is already under load."
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          "D10 \u2014 Cache the dependency graph across retries, and if so where?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\" (PLAN.md:21-23), Performance review.\nELI10: Each retry currently reloads the whole job payload from the database and walks it again to rebuild a dependency graph that did not change since the first attempt. With 8 attempts that is 8x the DB reads and 8x the CPU for a result computed correctly on attempt 1. The plan notes the fix and skips it. The catch with any cache is staleness: if the payload can be edited between attempts, the cached graph must be thrown away. Storing the graph next to the job with a payload version stamp handles that explicitly; a cache in worker memory does not survive restarts and cannot see edits.\nStakes if we pick wrong: Recompute means retry storms during an outage multiply DB load exactly when the DB is already stressed. An in-memory memo serves a stale graph after a payload edit, silently.\nRecommendation: A because it removes the redundant work, survives worker restarts (consistent with D4), and makes staleness an explicit, testable branch instead of a hidden one. Cost per recompute is unmeasured here; the win is proportional to attempt count.\nCompleteness: A=10/10, B=5/10, C=3/10\nNet: explicit persisted cache with a version check vs. a fragile process-local memo vs. paying the full cost up to 8 times. (human: A ~1 day / CC: ~15 min; B ~2 hrs / CC: ~5 min)": "Persist graph with job, version-keyed (recommended)"
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            "question": "D11 \u2014 TODO: dead-letter operations (retention, alert routing, owner)?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; final planning decisions, one TODO candidate.\nELI10: We approved sending terminal failures to a dead-letter set with an alert log (D6.1). That creates an operational surface the plan does not cover: who watches it, where the alert actually goes (log line vs. pager/Slack), how big the set may grow during a long outage, and when old entries are purged. Unwatched dead-letter sets turn into graveyards; that is the known failure mode of the option we chose.\nStakes if we pick wrong: Skipping it means the dead-letter safety net exists but nobody is looking; building it now widens this change beyond retries.\nRecommendation: A because it is real follow-up work created by this plan, but it is operations tooling, not part of the retry change itself.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nWhat: Define dead-letter retention (TTL / max size), route the terminal-failure alert to the on-call channel, name an owner, add a replay runbook. Why: D6.1 dead-letter is only useful if someone acts on it. Context: retry module emits an alert-level log on terminal failure; the queue's failed set holds payload + error; no retention or routing exists. Effort: M. Priority: P2. Depends on: this retry change shipping.\nNet: capture the follow-up with its reasoning vs. drop it vs. grow this PR. (TODOS.md does not exist yet; A creates it after plan mode exits.)",
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                "description": "\u2705 Captures the operational gap with motivation, current state and a starting point while it is fresh. \u2705 Keeps this PR scoped to retries; ops tooling lands as its own change. \u274c Creates a new TODOS.md file in the repo (written after plan mode exits) that someone must actually pick up."
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                "label": "Skip, not valuable enough",
                "description": "\u2705 No new file, no backlog entry to maintain. \u2705 The alert-level log line from D6.1 still exists as a minimal signal. \u274c The dead-letter set has no owner, retention or routing; the graveyard failure mode is left to chance."
              },
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                "label": "Build it now in this PR",
                "description": "\u2705 Dead-letter ships fully operable: retention, routed alert, runbook on day one. \u2705 No follow-up to track. \u274c Widens this change into alerting integration and retention jobs (human: ~2 days / CC: ~30 min) and delays the retry work."
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        "answers": {
          "D11 \u2014 TODO: dead-letter operations (retention, alert routing, owner)?\nProject/branch/task: main branch, \"Plan: Add background job retry framework\"; final planning decisions, one TODO candidate.\nELI10: We approved sending terminal failures to a dead-letter set with an alert log (D6.1). That creates an operational surface the plan does not cover: who watches it, where the alert actually goes (log line vs. pager/Slack), how big the set may grow during a long outage, and when old entries are purged. Unwatched dead-letter sets turn into graveyards; that is the known failure mode of the option we chose.\nStakes if we pick wrong: Skipping it means the dead-letter safety net exists but nobody is looking; building it now widens this change beyond retries.\nRecommendation: A because it is real follow-up work created by this plan, but it is operations tooling, not part of the retry change itself.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nWhat: Define dead-letter retention (TTL / max size), route the terminal-failure alert to the on-call channel, name an owner, add a replay runbook. Why: D6.1 dead-letter is only useful if someone acts on it. Context: retry module emits an alert-level log on terminal failure; the queue's failed set holds payload + error; no retention or routing exists. Effort: M. Priority: P2. Depends on: this retry change shipping.\nNet: capture the follow-up with its reasoning vs. drop it vs. grow this PR. (TODOS.md does not exist yet; A creates it after plan mode exits.)": "Add to TODOS.md (recommended)"
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. 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Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. 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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: **A \u2014 Capped** (D6.2 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay})` returns `min(base * 2^attempt, maxDelay)`; default `maxDelay` 1 hour, overridable per job type. Tests: attempt where `base*2^attempt > maxDelay` returns exactly `maxDelay`; attempt below the cap returns the uncapped value.\nHistory: original = unspecified; set by D6.2.\nState: approved\n\n### R5: Jitter \u2014 randomize each delay\nFinding: S2, P2, confidence 8/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full jitter | B) No jitter |\n|---|---|---|---|\n| R5 jitter | unspecified | `delay = random(0, min(base * 2^attempt, maxDelay))` (AWS \"full jitter\"); injectable RNG for tests | deterministic `min(base * 2^attempt, maxDelay)` |\n| R1, R7, R3, R4 | approved (D4, D5, D6.1, D6.2) | fixed | fixed |\n\nQuestion D6.3: Jitter. Options: A) Full jitter with an injectable RNG (recommended); B) Deterministic delays, no jitter.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: **A \u2014 Capped** (D6.2 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay})` returns `min(base * 2^attempt, maxDelay)`; default `maxDelay` 1 hour, overridable per job type. Tests: attempt where `base*2^attempt > maxDelay` returns exactly `maxDelay`; attempt below the cap returns the uncapped value.\nHistory: original = unspecified; set by D6.2.\nState: approved\n\n### R5: Jitter \u2014 randomize each delay\nFinding: S2, P2, confidence 8/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full jitter | B) No jitter |\n|---|---|---|---|\n| R5 jitter | unspecified | `delay = random(0, min(base * 2^attempt, maxDelay))` (AWS \"full jitter\"); injectable RNG for tests | deterministic `min(base * 2^attempt, maxDelay)` |\n| R1, R7, R3, R4 | approved (D4, D5, D6.1, D6.2) | fixed | fixed |\n\nQuestion D6.3: Jitter. Options: A) Full jitter with an injectable RNG (recommended); B) Deterministic delays, no jitter.\nActual answer: **A \u2014 Full jitter, injectable RNG** (D6.3 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay, rng = Math.random})` returns `rng() * min(base * 2^attempt, maxDelay)`. Tests: seeded RNG gives exact expected values; property test over attempts 0..maxAttempts asserts `0 <= delay <= maxDelay`; `rng()` returning 1 hits the cap exactly.\nHistory: original = unspecified; set by D6.3.\nState: approved\n\n### R6: Retry envelope duplication across 5 workers\nFinding: C1, P1, confidence 9/10, PLAN.md:11-13, reviewer: plan-eng-review (native)\nPlan baseline: \"duplicated across 5 worker files with copy-pasted bodies. We will leave the duplication for now and refactor 'later.'\"\nRuntime evidence: unknown \u2014 worker files not in this repository; the 5x duplication is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) Extract shared envelope now | B) Leave 5 copies, refactor later (as planned) |\n|---|---|---|---|\n| R6 envelope location | 5 copy-pasted bodies (planned) | one `retry/` module: `computeBackoff`, `classifyError` (pending D8), `logAttempt`, and a `withRetryPolicy(jobDef, policy)` wrapper / base class that registers the library hook; each worker becomes a one-line policy declaration | 5 inline copies of compute/log/dispatch; a later refactor ticket |\n| R1, R3\u2013R5, R7 | approved | fixed (implemented once in the shared module) | fixed (implemented 5 times) |\n| R8 error classification | pending | pending | pending |\n\nQuestion D7: Envelope dedup. Options: A) Extract one shared retry module now, workers declare policy only (recommended); B) Keep 5 copies and refactor later.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: **A \u2014 Capped** (D6.2 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay})` returns `min(base * 2^attempt, maxDelay)`; default `maxDelay` 1 hour, overridable per job type. Tests: attempt where `base*2^attempt > maxDelay` returns exactly `maxDelay`; attempt below the cap returns the uncapped value.\nHistory: original = unspecified; set by D6.2.\nState: approved\n\n### R5: Jitter \u2014 randomize each delay\nFinding: S2, P2, confidence 8/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full jitter | B) No jitter |\n|---|---|---|---|\n| R5 jitter | unspecified | `delay = random(0, min(base * 2^attempt, maxDelay))` (AWS \"full jitter\"); injectable RNG for tests | deterministic `min(base * 2^attempt, maxDelay)` |\n| R1, R7, R3, R4 | approved (D4, D5, D6.1, D6.2) | fixed | fixed |\n\nQuestion D6.3: Jitter. Options: A) Full jitter with an injectable RNG (recommended); B) Deterministic delays, no jitter.\nActual answer: **A \u2014 Full jitter, injectable RNG** (D6.3 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay, rng = Math.random})` returns `rng() * min(base * 2^attempt, maxDelay)`. Tests: seeded RNG gives exact expected values; property test over attempts 0..maxAttempts asserts `0 <= delay <= maxDelay`; `rng()` returning 1 hits the cap exactly.\nHistory: original = unspecified; set by D6.3.\nState: approved\n\n### R6: Retry envelope duplication across 5 workers\nFinding: C1, P1, confidence 9/10, PLAN.md:11-13, reviewer: plan-eng-review (native)\nPlan baseline: \"duplicated across 5 worker files with copy-pasted bodies. We will leave the duplication for now and refactor 'later.'\"\nRuntime evidence: unknown \u2014 worker files not in this repository; the 5x duplication is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) Extract shared envelope now | B) Leave 5 copies, refactor later (as planned) |\n|---|---|---|---|\n| R6 envelope location | 5 copy-pasted bodies (planned) | one `retry/` module: `computeBackoff`, `classifyError` (pending D8), `logAttempt`, and a `withRetryPolicy(jobDef, policy)` wrapper / base class that registers the library hook; each worker becomes a one-line policy declaration | 5 inline copies of compute/log/dispatch; a later refactor ticket |\n| R1, R3\u2013R5, R7 | approved | fixed (implemented once in the shared module) | fixed (implemented 5 times) |\n| R8 error classification | pending | pending | pending |\n\nQuestion D7: Envelope dedup. Options: A) Extract one shared retry module now, workers declare policy only (recommended); B) Keep 5 copies and refactor later.\nActual answer: **A \u2014 Extract shared retry module now** (D7 answer)\nAccepted scope: one `retry/` module exporting `computeBackoff`, `logAttempt`, `classifyError` (behavior per D8), and `withRetryPolicy(jobDef, policy)` which registers the library's retry hook and terminal handler. Each of the 5 workers declares `{maxAttempts, base, maxDelay}` (defaults 8 / 1s / 1h) and nothing else. Tests: envelope tested once in `retry/`; per-worker tests assert hook wiring and policy values. Docs: module header carries the retry state diagram.\nHistory: original = 5 copy-pasted bodies, refactor \"later\" (PLAN.md:11-13), superseded by D7.\nState: approved\n\n### R8: Error classification \u2014 which failures retry and which are terminal\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 and :16-18 (no failure taxonomy anywhere in the plan), reviewer: plan-eng-review (native)\nPlan baseline: unspecified \u2014 every thrown error is implicitly retried\nRuntime evidence: unknown \u2014 no worker or webhook code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Classify: retryable vs. permanent | B) Retry everything |\n|---|---|---|---|\n| R8 error classification | unspecified (retry all) | `classifyError(err) \u2192 'retry' \\| 'permanent'`; permanent = validation/serialization errors, webhook 4xx except 408/425/429, explicit `NonRetryableError`; retryable = network errors, timeouts, 5xx, 408/425/429; permanent errors go straight to dead-letter on attempt 1 | every error retries up to maxAttempts |\n| R1, R3\u2013R7 | approved | fixed | fixed |\n\nQuestion D8: Error classification. Options: A) Classify errors; permanent failures dead-letter immediately (recommended); B) Retry every error to maxAttempts.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: **A \u2014 Capped** (D6.2 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay})` returns `min(base * 2^attempt, maxDelay)`; default `maxDelay` 1 hour, overridable per job type. Tests: attempt where `base*2^attempt > maxDelay` returns exactly `maxDelay`; attempt below the cap returns the uncapped value.\nHistory: original = unspecified; set by D6.2.\nState: approved\n\n### R5: Jitter \u2014 randomize each delay\nFinding: S2, P2, confidence 8/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full jitter | B) No jitter |\n|---|---|---|---|\n| R5 jitter | unspecified | `delay = random(0, min(base * 2^attempt, maxDelay))` (AWS \"full jitter\"); injectable RNG for tests | deterministic `min(base * 2^attempt, maxDelay)` |\n| R1, R7, R3, R4 | approved (D4, D5, D6.1, D6.2) | fixed | fixed |\n\nQuestion D6.3: Jitter. Options: A) Full jitter with an injectable RNG (recommended); B) Deterministic delays, no jitter.\nActual answer: **A \u2014 Full jitter, injectable RNG** (D6.3 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay, rng = Math.random})` returns `rng() * min(base * 2^attempt, maxDelay)`. Tests: seeded RNG gives exact expected values; property test over attempts 0..maxAttempts asserts `0 <= delay <= maxDelay`; `rng()` returning 1 hits the cap exactly.\nHistory: original = unspecified; set by D6.3.\nState: approved\n\n### R6: Retry envelope duplication across 5 workers\nFinding: C1, P1, confidence 9/10, PLAN.md:11-13, reviewer: plan-eng-review (native)\nPlan baseline: \"duplicated across 5 worker files with copy-pasted bodies. We will leave the duplication for now and refactor 'later.'\"\nRuntime evidence: unknown \u2014 worker files not in this repository; the 5x duplication is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) Extract shared envelope now | B) Leave 5 copies, refactor later (as planned) |\n|---|---|---|---|\n| R6 envelope location | 5 copy-pasted bodies (planned) | one `retry/` module: `computeBackoff`, `classifyError` (pending D8), `logAttempt`, and a `withRetryPolicy(jobDef, policy)` wrapper / base class that registers the library hook; each worker becomes a one-line policy declaration | 5 inline copies of compute/log/dispatch; a later refactor ticket |\n| R1, R3\u2013R5, R7 | approved | fixed (implemented once in the shared module) | fixed (implemented 5 times) |\n| R8 error classification | pending | pending | pending |\n\nQuestion D7: Envelope dedup. Options: A) Extract one shared retry module now, workers declare policy only (recommended); B) Keep 5 copies and refactor later.\nActual answer: **A \u2014 Extract shared retry module now** (D7 answer)\nAccepted scope: one `retry/` module exporting `computeBackoff`, `logAttempt`, `classifyError` (behavior per D8), and `withRetryPolicy(jobDef, policy)` which registers the library's retry hook and terminal handler. Each of the 5 workers declares `{maxAttempts, base, maxDelay}` (defaults 8 / 1s / 1h) and nothing else. Tests: envelope tested once in `retry/`; per-worker tests assert hook wiring and policy values. Docs: module header carries the retry state diagram.\nHistory: original = 5 copy-pasted bodies, refactor \"later\" (PLAN.md:11-13), superseded by D7.\nState: approved\n\n### R8: Error classification \u2014 which failures retry and which are terminal\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 and :16-18 (no failure taxonomy anywhere in the plan), reviewer: plan-eng-review (native)\nPlan baseline: unspecified \u2014 every thrown error is implicitly retried\nRuntime evidence: unknown \u2014 no worker or webhook code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Classify: retryable vs. permanent | B) Retry everything |\n|---|---|---|---|\n| R8 error classification | unspecified (retry all) | `classifyError(err) \u2192 'retry' \\| 'permanent'`; permanent = validation/serialization errors, webhook 4xx except 408/425/429, explicit `NonRetryableError`; retryable = network errors, timeouts, 5xx, 408/425/429; permanent errors go straight to dead-letter on attempt 1 | every error retries up to maxAttempts |\n| R1, R3\u2013R7 | approved | fixed | fixed |\n\nQuestion D8: Error classification. Options: A) Classify errors; permanent failures dead-letter immediately (recommended); B) Retry every error to maxAttempts.\nActual answer: **A \u2014 Classify retryable vs. permanent** (D8 answer)\nAccepted scope: `classifyError(err)` in the shared module. Retryable: network errors (ECONNRESET/ECONNREFUSED/DNS), timeouts, HTTP 5xx, 408, 425, 429. Permanent: other 4xx, validation/serialization errors, `NonRetryableError`. Permanent \u2192 dead-letter on the current attempt with the error attached, no further schedule. Unknown error types default to retryable (conservative). Tests: one case per class above plus the unknown-default case.\nHistory: original = unspecified (implicit retry-all); set by D8.\nState: approved\n\n### R9: Regression contract for the `processWebhookJob()` rewrite\nFinding: T1, P1 (CRITICAL), confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: \"No regression test for the prior at-most-once delivery guarantee is planned.\" New contract approved in D5 (at-least-once + idempotency id).\nRuntime evidence: unknown \u2014 `processWebhookJob()` and its existing tests are not in this repository; existing coverage cannot be graded\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full regression contract | B) Happy-path regression only |\n|---|---|---|---|\n| R9 behaviors preserved | none tested | (1) success path sends exactly one request with identical body/headers/signature as before; (2) same delivery id on every attempt; (3) permanent 4xx \u2192 exactly one request, then dead-letter; (4) timeout/5xx \u2192 retried, N+1 total requests, receiver sees same `X-Delivery-Id` each time; (5) `maxAttempts` exhausted \u2192 dead-letter, no further sends; (6) worker restart mid-backoff \u2192 retry still fires (library persistence) [\u2192E2E] | (1) and (2) only |\n| Intentional differences documented | none | at-most-once \u2192 at-least-once; new header; dead-letter on terminal failure | same list |\n| R1, R3\u2013R8 | approved | fixed | fixed |\n\nQuestion D9: Regression contract. Options: A) Full contract, 6 assertions incl. one E2E restart test (recommended); B) Happy path + delivery id only.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: **A \u2014 Capped** (D6.2 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay})` returns `min(base * 2^attempt, maxDelay)`; default `maxDelay` 1 hour, overridable per job type. Tests: attempt where `base*2^attempt > maxDelay` returns exactly `maxDelay`; attempt below the cap returns the uncapped value.\nHistory: original = unspecified; set by D6.2.\nState: approved\n\n### R5: Jitter \u2014 randomize each delay\nFinding: S2, P2, confidence 8/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full jitter | B) No jitter |\n|---|---|---|---|\n| R5 jitter | unspecified | `delay = random(0, min(base * 2^attempt, maxDelay))` (AWS \"full jitter\"); injectable RNG for tests | deterministic `min(base * 2^attempt, maxDelay)` |\n| R1, R7, R3, R4 | approved (D4, D5, D6.1, D6.2) | fixed | fixed |\n\nQuestion D6.3: Jitter. Options: A) Full jitter with an injectable RNG (recommended); B) Deterministic delays, no jitter.\nActual answer: **A \u2014 Full jitter, injectable RNG** (D6.3 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay, rng = Math.random})` returns `rng() * min(base * 2^attempt, maxDelay)`. Tests: seeded RNG gives exact expected values; property test over attempts 0..maxAttempts asserts `0 <= delay <= maxDelay`; `rng()` returning 1 hits the cap exactly.\nHistory: original = unspecified; set by D6.3.\nState: approved\n\n### R6: Retry envelope duplication across 5 workers\nFinding: C1, P1, confidence 9/10, PLAN.md:11-13, reviewer: plan-eng-review (native)\nPlan baseline: \"duplicated across 5 worker files with copy-pasted bodies. We will leave the duplication for now and refactor 'later.'\"\nRuntime evidence: unknown \u2014 worker files not in this repository; the 5x duplication is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) Extract shared envelope now | B) Leave 5 copies, refactor later (as planned) |\n|---|---|---|---|\n| R6 envelope location | 5 copy-pasted bodies (planned) | one `retry/` module: `computeBackoff`, `classifyError` (pending D8), `logAttempt`, and a `withRetryPolicy(jobDef, policy)` wrapper / base class that registers the library hook; each worker becomes a one-line policy declaration | 5 inline copies of compute/log/dispatch; a later refactor ticket |\n| R1, R3\u2013R5, R7 | approved | fixed (implemented once in the shared module) | fixed (implemented 5 times) |\n| R8 error classification | pending | pending | pending |\n\nQuestion D7: Envelope dedup. Options: A) Extract one shared retry module now, workers declare policy only (recommended); B) Keep 5 copies and refactor later.\nActual answer: **A \u2014 Extract shared retry module now** (D7 answer)\nAccepted scope: one `retry/` module exporting `computeBackoff`, `logAttempt`, `classifyError` (behavior per D8), and `withRetryPolicy(jobDef, policy)` which registers the library's retry hook and terminal handler. Each of the 5 workers declares `{maxAttempts, base, maxDelay}` (defaults 8 / 1s / 1h) and nothing else. Tests: envelope tested once in `retry/`; per-worker tests assert hook wiring and policy values. Docs: module header carries the retry state diagram.\nHistory: original = 5 copy-pasted bodies, refactor \"later\" (PLAN.md:11-13), superseded by D7.\nState: approved\n\n### R8: Error classification \u2014 which failures retry and which are terminal\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 and :16-18 (no failure taxonomy anywhere in the plan), reviewer: plan-eng-review (native)\nPlan baseline: unspecified \u2014 every thrown error is implicitly retried\nRuntime evidence: unknown \u2014 no worker or webhook code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Classify: retryable vs. permanent | B) Retry everything |\n|---|---|---|---|\n| R8 error classification | unspecified (retry all) | `classifyError(err) \u2192 'retry' \\| 'permanent'`; permanent = validation/serialization errors, webhook 4xx except 408/425/429, explicit `NonRetryableError`; retryable = network errors, timeouts, 5xx, 408/425/429; permanent errors go straight to dead-letter on attempt 1 | every error retries up to maxAttempts |\n| R1, R3\u2013R7 | approved | fixed | fixed |\n\nQuestion D8: Error classification. Options: A) Classify errors; permanent failures dead-letter immediately (recommended); B) Retry every error to maxAttempts.\nActual answer: **A \u2014 Classify retryable vs. permanent** (D8 answer)\nAccepted scope: `classifyError(err)` in the shared module. Retryable: network errors (ECONNRESET/ECONNREFUSED/DNS), timeouts, HTTP 5xx, 408, 425, 429. Permanent: other 4xx, validation/serialization errors, `NonRetryableError`. Permanent \u2192 dead-letter on the current attempt with the error attached, no further schedule. Unknown error types default to retryable (conservative). Tests: one case per class above plus the unknown-default case.\nHistory: original = unspecified (implicit retry-all); set by D8.\nState: approved\n\n### R9: Regression contract for the `processWebhookJob()` rewrite\nFinding: T1, P1 (CRITICAL), confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: \"No regression test for the prior at-most-once delivery guarantee is planned.\" New contract approved in D5 (at-least-once + idempotency id).\nRuntime evidence: unknown \u2014 `processWebhookJob()` and its existing tests are not in this repository; existing coverage cannot be graded\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full regression contract | B) Happy-path regression only |\n|---|---|---|---|\n| R9 behaviors preserved | none tested | (1) success path sends exactly one request with identical body/headers/signature as before; (2) same delivery id on every attempt; (3) permanent 4xx \u2192 exactly one request, then dead-letter; (4) timeout/5xx \u2192 retried, N+1 total requests, receiver sees same `X-Delivery-Id` each time; (5) `maxAttempts` exhausted \u2192 dead-letter, no further sends; (6) worker restart mid-backoff \u2192 retry still fires (library persistence) [\u2192E2E] | (1) and (2) only |\n| Intentional differences documented | none | at-most-once \u2192 at-least-once; new header; dead-letter on terminal failure | same list |\n| R1, R3\u2013R8 | approved | fixed | fixed |\n\nQuestion D9: Regression contract. Options: A) Full contract, 6 assertions incl. one E2E restart test (recommended); B) Happy path + delivery id only.\nActual answer: **A \u2014 Full contract, 6 assertions** (D9 answer)\nAccepted scope: CRITICAL regression suite for `processWebhookJob()` with the six assertions in the grid's column A, in the existing webhook test file (framework unknown in this repo; match the project's convention). Assertion (6) is an integration/E2E test against the real queue backend. Intentional differences documented in the plan: at-most-once \u2192 at-least-once, new `X-Delivery-Id` header, dead-letter on terminal failure.\nHistory: original = no regression test planned (PLAN.md:17-18), superseded by D9.\nState: approved\n\n### R10: Dependency graph recompute on every retry\nFinding: P1-perf, P2, confidence 8/10, PLAN.md:21-23, reviewer: plan-eng-review (native)\nPlan baseline: \"On every retry we re-fetch the full job payload from the database, then iterate the payload to recompute the dependency graph. Could cache the graph on the first attempt; not planned.\"\nRuntime evidence: unknown \u2014 no payload, graph or DB code in this repository; cost per recompute unmeasured\nState: pending\nComparison grid:\n\n| Choice | Current | A) Persist graph with the job on attempt 1, keyed by payload version | B) In-process memo keyed by job id | C) Recompute every attempt (as planned) |\n|---|---|---|---|---|\n| R10 graph computation per retry | recompute + full payload fetch each attempt | attempt 1 computes and stores serialized graph + `payloadVersion` (e.g. `updatedAt` or hash) alongside the job; retries load graph and skip the payload iterate when versions match, recompute on mismatch | attempt 1 memoizes in worker memory; hit only if the retry lands on the same process before eviction | fetch + iterate each attempt (up to 8x) |\n| Staleness behavior | n/a | explicit: version mismatch \u2192 recompute; tested | silent: stale memo if payload edited between attempts | none (always fresh) |\n| Survives worker restart | n/a | yes (persisted) | no | n/a |\n| R1, R3\u2013R9 | approved | fixed | fixed | fixed |\n\nQuestion D10: Graph caching. Options: A) Persist the computed graph with the job, invalidate on payload version (recommended); B) In-process memo; C) Recompute every attempt.\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
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        "preAskPlan": "# Eng review: Plan \u2014 Add background job retry framework\n\nReviewed target: `PLAN.md` on branch `main` (commit 60a0aaf), via `/plan-eng-review`.\nEvidence note: this repository contains only `PLAN.md` and `CLAUDE.md`. The 5 worker\nfiles, the job library, and `processWebhookJob()` referenced by the plan are not present,\nso every finding is graded against plan text; runtime evidence is **unknown** throughout.\nWeb research was unavailable (no Aside, no WebSearch) \u2014 in-distribution knowledge only.\n\n## Context\n\nThe plan adds retry-with-exponential-backoff to background jobs. As written it takes\nfour shortcuts: a hand-rolled scheduler per worker instead of the job library's retry\nhooks, copy-pasted retry envelopes across 5 workers, no regression test for the\n`processWebhookJob()` rewrite (which silently changes the delivery guarantee), and a full\npayload re-fetch plus dependency-graph recompute on every retry. This review decides,\none choice at a time, which of those to keep and which to fix before implementation.\n\n## Original plan (verbatim, PLAN.md:3-23)\n\n```\n# Plan: Add background job retry framework\n\n## Architecture\nWe'll roll a custom exponential-backoff scheduler inline in each worker\nrather than use the existing job library's built-in retry hooks. Same\nshape as the library version, but we want full control over the curve.\n\n## Code quality\nThe retry envelope (compute delay, log attempt, dispatch) is duplicated\nacross 5 worker files with copy-pasted bodies. We will leave the\nduplication for now and refactor \"later.\"\n\n## Tests\nThe existing `processWebhookJob()` flow gets rewritten as part of this\nchange. No regression test for the prior at-most-once delivery guarantee\nis planned.\n\n## Performance\nOn every retry we re-fetch the full job payload from the database, then\niterate the payload to recompute the dependency graph. Could cache the\ngraph on the first attempt; not planned.\n```\n\n## Step 0: Scope Challenge\n\n1. **Existing code that already solves a sub-problem:** the job library's built-in retry\n   hooks (PLAN.md:7-8: \"rather than use the existing job library's built-in retry hooks\").\n   The plan acknowledges the built-in and rebuilds it. Every mainstream job library exposes\n   a custom-backoff hook (BullMQ `backoff.type: 'custom'` + `backoffStrategy`, Sidekiq\n   `sidekiq_retry_in`, Celery `retry(countdown=...)`/`retry_backoff`, Oban `backoff/1`,\n   Resque/GoodJob equivalents), so \"full control over the curve\" does not require owning\n   the scheduler. **[Layer 1]** reuse candidate. Library identity unverifiable here.\n2. **Minimum change set:** one shared backoff function + one hook registration per worker\n   (or one shared job base) achieves the stated goal. Inline schedulers in 5 workers is\n   scope creep by duplication, not by feature.\n3. **Complexity check:** 5 files touched, 0 new classes/services. Below the 8-file / 2-class\n   gate; no complexity stop required. The smell is repetition, handled in Code Quality.\n4. **Search check:** unavailable this run (see evidence note). Graded from knowledge of the\n   named library class only.\n5. **TODOS.md:** does not exist in this repo. Nothing blocking; nothing to bundle.\n6. **Completeness check:** the plan is a shortcut on three axes (duplication, no regression\n   test, no graph cache). Each is minutes of CC work; each is flagged below.\n7. **Distribution check:** no new artifact (no CLI/library/container). N/A.\n\n### Scope Challenge findings\n\n- **S1 [P1] (confidence: 8/10) PLAN.md:6-8** \u2014 Rolls a custom inline scheduler where the\n  job library's retry hooks already exist. Quote: \"We'll roll a custom exponential-backoff\n  scheduler inline in each worker rather than use the existing job library's built-in retry\n  hooks.\" Inline in-process scheduling also loses pending retries on worker restart/deploy\n  unless the plan persists them, which it does not mention; library hooks persist retry\n  state in the queue for free. Disposition: **pending \u2192 D4**.\n- **S2 [P2] (confidence: 9/10) PLAN.md (whole)** \u2014 No retry policy bounds are specified:\n  max attempts, delay cap, jitter, or terminal handling (dead-letter / permanent failure).\n  \"Exponential backoff\" with none of these is unbounded. Disposition: pending \u2192 Architecture\n  (D6.x).\n- **S3 [P2] (confidence: 9/10) PLAN.md:11-13 / :16-18 / :21-23** \u2014 Three declared shortcuts\n  (\"refactor later\", \"no regression test\", \"not planned\") that cost minutes with CC. Each is\n  taken through its own decision in Sections 2\u20134.\n\n## Decision ledger\n\n### R1: Retry scheduler ownership \u2014 library hooks vs. custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: plan-eng-review (native)\nPlan baseline: custom exponential-backoff scheduler inline in each of 5 workers (original proposal, PLAN.md:6-8)\nRuntime evidence: unknown \u2014 job library and worker files not in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Library hooks + shared backoff fn | B) Custom inline scheduler (as planned) | C) Investigate library first |\n|---|---|---|---|---|\n| R1 scheduler ownership | custom inline per worker | job library retry hook drives scheduling; curve supplied by one shared `computeBackoff(attempt)` | custom inline per worker | unchanged, pending |\n| R2 retry-state persistence across worker restart | unspecified | library-owned (queue persists) | must be built or accepted as lost | pending |\n| R3\u2013R5 backoff curve, cap, jitter (D6.x) | unspecified, pending | pending | pending | pending |\n| R6 envelope dedup (D7) | duplicated x5 | pending | pending | pending |\n\nQuestion D4: Scheduler ownership. Options: A) Library retry hooks + one shared backoff function (recommended); B) Keep the custom inline scheduler as planned; C) Investigate the library's hook API first, then decide.\nActual answer: **A \u2014 Library retry hooks + one shared backoff function** (D4 answer)\nAccepted scope: drop the custom inline scheduler; register the job library's retry hook in each worker (or one shared job base) and supply the curve from a single shared `computeBackoff(attempt)` function. Retry-state persistence is library-owned (R2 resolved by this answer). Tests: unit tests for `computeBackoff` and one integration test per worker proving the hook is wired. Docs: plan Architecture section rewritten.\nHistory: original proposal = custom inline scheduler per worker (PLAN.md:6-8), superseded by D4.\nState: approved\n\n### R7: Webhook delivery contract after retries are introduced\nFinding: A1, P1, confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: `processWebhookJob()` currently at-most-once (PLAN.md:17: \"the prior at-most-once delivery guarantee\"); plan rewrites it under retry with no stated new contract\nRuntime evidence: unknown \u2014 `processWebhookJob()` not in this repository; the at-most-once claim is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) At-least-once + idempotency key | B) Preserve at-most-once (webhooks retry only on pre-send failure) | C) Silently change (as planned) |\n|---|---|---|---|---|\n| R7 webhook delivery guarantee | at-most-once (plan statement) | at-least-once; each delivery carries a stable idempotency/event id header; contract documented for receivers | at-most-once; retry only when the request provably never left (connect refused, DNS, TLS handshake); timeouts and 5xx are terminal | unspecified; effectively at-least-once with duplicates and no receiver contract |\n| R1 scheduler ownership | approved: library hooks (D4) | fixed | fixed | fixed |\n| R3\u2013R5 curve/cap/jitter | pending | pending | pending | pending |\n| R8 error classification (D8) | pending | pending | pending | pending |\n\nQuestion D5: Webhook delivery contract. Options: A) At-least-once with an idempotency key header and documented receiver contract (recommended); B) Preserve at-most-once: retry webhooks only on provable pre-send failures; C) Keep the plan as written (no stated contract).\nActual answer: **A \u2014 At-least-once + idempotency key** (D5 answer)\nAccepted scope: `processWebhookJob()` delivers at-least-once. A stable delivery id (generated on first attempt, persisted with the job, identical across retries) is sent on every attempt as an idempotency header (e.g. `X-Delivery-Id`). Receiver-facing docs state the at-least-once contract and the header. Tests: the same id appears on attempt 1 and attempt N; regression contract itself is settled in D9.\nHistory: original = at-most-once with no stated post-retry contract (PLAN.md:16-18), superseded by D5.\nState: approved\n\n### R3: Terminal handling \u2014 max attempts and what happens after the last one\nFinding: S2, P2, confidence 9/10, PLAN.md (whole plan; no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified (original proposal names \"exponential backoff\" only)\nRuntime evidence: unknown \u2014 no worker code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Bounded + dead-letter | B) Bounded + fail-permanently with alert log only | C) Unbounded |\n|---|---|---|---|---|\n| R3 max attempts + terminal action | unspecified | per-job-type max attempts (default e.g. 8); after the last failure the job moves to the library's dead-letter/failed set with the final error, and an alert-level log fires | per-job-type max attempts; after the last failure the job is marked failed and logged; no dead-letter retention | retries forever until success |\n| R1, R7 | approved (D4, D5) | fixed | fixed | fixed |\n| R4 delay cap, R5 jitter | pending | pending | pending | pending |\n\nQuestion D6.1: Terminal handling. Options: A) Bounded attempts + dead-letter with final error (recommended); B) Bounded attempts + mark failed and log, no dead-letter; C) Unbounded retries.\nActual answer: **A \u2014 Bounded + dead-letter** (D6.1 answer)\nAccepted scope: per-job-type `maxAttempts` (default 8, overridable per worker). After the final failure the job lands in the library's dead-letter/failed set with payload and final error retained, and an alert-level log line fires. Tests: attempt `maxAttempts` fails \u2192 job in dead-letter, no further schedule, alert log emitted; attempt `maxAttempts-1` fails \u2192 one more retry scheduled.\nHistory: original = unspecified; set by D6.1.\nState: approved\n\n### R4: Delay cap \u2014 maximum wait between attempts\nFinding: S2, P2, confidence 9/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Capped | B) Uncapped |\n|---|---|---|---|\n| R4 delay cap | unspecified | `delay = min(base * 2^attempt, maxDelay)`, `maxDelay` per job type, default 1 hour; total retry window with default 8 attempts \u2248 under 4 hours | `delay = base * 2^attempt`; attempt 8 at base 1s = ~4 min, attempt 12 = ~68 min, attempt 20 = ~12 days |\n| R1, R7, R3 | approved (D4, D5, D6.1) | fixed | fixed |\n| R5 jitter | pending | pending | pending |\n\nQuestion D6.2: Delay cap. Options: A) Cap the delay at a per-job-type maximum (default 1 hour) (recommended); B) No cap, pure exponential.\nActual answer: **A \u2014 Capped** (D6.2 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay})` returns `min(base * 2^attempt, maxDelay)`; default `maxDelay` 1 hour, overridable per job type. Tests: attempt where `base*2^attempt > maxDelay` returns exactly `maxDelay`; attempt below the cap returns the uncapped value.\nHistory: original = unspecified; set by D6.2.\nState: approved\n\n### R5: Jitter \u2014 randomize each delay\nFinding: S2, P2, confidence 8/10, PLAN.md (no bounds stated), reviewer: plan-eng-review (native)\nPlan baseline: unspecified\nRuntime evidence: unknown\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full jitter | B) No jitter |\n|---|---|---|---|\n| R5 jitter | unspecified | `delay = random(0, min(base * 2^attempt, maxDelay))` (AWS \"full jitter\"); injectable RNG for tests | deterministic `min(base * 2^attempt, maxDelay)` |\n| R1, R7, R3, R4 | approved (D4, D5, D6.1, D6.2) | fixed | fixed |\n\nQuestion D6.3: Jitter. Options: A) Full jitter with an injectable RNG (recommended); B) Deterministic delays, no jitter.\nActual answer: **A \u2014 Full jitter, injectable RNG** (D6.3 answer)\nAccepted scope: `computeBackoff(attempt, {base, maxDelay, rng = Math.random})` returns `rng() * min(base * 2^attempt, maxDelay)`. Tests: seeded RNG gives exact expected values; property test over attempts 0..maxAttempts asserts `0 <= delay <= maxDelay`; `rng()` returning 1 hits the cap exactly.\nHistory: original = unspecified; set by D6.3.\nState: approved\n\n### R6: Retry envelope duplication across 5 workers\nFinding: C1, P1, confidence 9/10, PLAN.md:11-13, reviewer: plan-eng-review (native)\nPlan baseline: \"duplicated across 5 worker files with copy-pasted bodies. We will leave the duplication for now and refactor 'later.'\"\nRuntime evidence: unknown \u2014 worker files not in this repository; the 5x duplication is the plan's own statement\nState: pending\nComparison grid:\n\n| Choice | Current | A) Extract shared envelope now | B) Leave 5 copies, refactor later (as planned) |\n|---|---|---|---|\n| R6 envelope location | 5 copy-pasted bodies (planned) | one `retry/` module: `computeBackoff`, `classifyError` (pending D8), `logAttempt`, and a `withRetryPolicy(jobDef, policy)` wrapper / base class that registers the library hook; each worker becomes a one-line policy declaration | 5 inline copies of compute/log/dispatch; a later refactor ticket |\n| R1, R3\u2013R5, R7 | approved | fixed (implemented once in the shared module) | fixed (implemented 5 times) |\n| R8 error classification | pending | pending | pending |\n\nQuestion D7: Envelope dedup. Options: A) Extract one shared retry module now, workers declare policy only (recommended); B) Keep 5 copies and refactor later.\nActual answer: **A \u2014 Extract shared retry module now** (D7 answer)\nAccepted scope: one `retry/` module exporting `computeBackoff`, `logAttempt`, `classifyError` (behavior per D8), and `withRetryPolicy(jobDef, policy)` which registers the library's retry hook and terminal handler. Each of the 5 workers declares `{maxAttempts, base, maxDelay}` (defaults 8 / 1s / 1h) and nothing else. Tests: envelope tested once in `retry/`; per-worker tests assert hook wiring and policy values. Docs: module header carries the retry state diagram.\nHistory: original = 5 copy-pasted bodies, refactor \"later\" (PLAN.md:11-13), superseded by D7.\nState: approved\n\n### R8: Error classification \u2014 which failures retry and which are terminal\nFinding: C2, P1, confidence 8/10, PLAN.md:6-8 and :16-18 (no failure taxonomy anywhere in the plan), reviewer: plan-eng-review (native)\nPlan baseline: unspecified \u2014 every thrown error is implicitly retried\nRuntime evidence: unknown \u2014 no worker or webhook code in this repository\nState: pending\nComparison grid:\n\n| Choice | Current | A) Classify: retryable vs. permanent | B) Retry everything |\n|---|---|---|---|\n| R8 error classification | unspecified (retry all) | `classifyError(err) \u2192 'retry' \\| 'permanent'`; permanent = validation/serialization errors, webhook 4xx except 408/425/429, explicit `NonRetryableError`; retryable = network errors, timeouts, 5xx, 408/425/429; permanent errors go straight to dead-letter on attempt 1 | every error retries up to maxAttempts |\n| R1, R3\u2013R7 | approved | fixed | fixed |\n\nQuestion D8: Error classification. Options: A) Classify errors; permanent failures dead-letter immediately (recommended); B) Retry every error to maxAttempts.\nActual answer: **A \u2014 Classify retryable vs. permanent** (D8 answer)\nAccepted scope: `classifyError(err)` in the shared module. Retryable: network errors (ECONNRESET/ECONNREFUSED/DNS), timeouts, HTTP 5xx, 408, 425, 429. Permanent: other 4xx, validation/serialization errors, `NonRetryableError`. Permanent \u2192 dead-letter on the current attempt with the error attached, no further schedule. Unknown error types default to retryable (conservative). Tests: one case per class above plus the unknown-default case.\nHistory: original = unspecified (implicit retry-all); set by D8.\nState: approved\n\n### R9: Regression contract for the `processWebhookJob()` rewrite\nFinding: T1, P1 (CRITICAL), confidence 9/10, PLAN.md:16-18, reviewer: plan-eng-review (native)\nPlan baseline: \"No regression test for the prior at-most-once delivery guarantee is planned.\" New contract approved in D5 (at-least-once + idempotency id).\nRuntime evidence: unknown \u2014 `processWebhookJob()` and its existing tests are not in this repository; existing coverage cannot be graded\nState: pending\nComparison grid:\n\n| Choice | Current | A) Full regression contract | B) Happy-path regression only |\n|---|---|---|---|\n| R9 behaviors preserved | none tested | (1) success path sends exactly one request with identical body/headers/signature as before; (2) same delivery id on every attempt; (3) permanent 4xx \u2192 exactly one request, then dead-letter; (4) timeout/5xx \u2192 retried, N+1 total requests, receiver sees same `X-Delivery-Id` each time; (5) `maxAttempts` exhausted \u2192 dead-letter, no further sends; (6) worker restart mid-backoff \u2192 retry still fires (library persistence) [\u2192E2E] | (1) and (2) only |\n| Intentional differences documented | none | at-most-once \u2192 at-least-once; new header; dead-letter on terminal failure | same list |\n| R1, R3\u2013R8 | approved | fixed | fixed |\n\nQuestion D9: Regression contract. Options: A) Full contract, 6 assertions incl. one E2E restart test (recommended); B) Happy path + delivery id only.\nActual answer: **A \u2014 Full contract, 6 assertions** (D9 answer)\nAccepted scope: CRITICAL regression suite for `processWebhookJob()` with the six assertions in the grid's column A, in the existing webhook test file (framework unknown in this repo; match the project's convention). Assertion (6) is an integration/E2E test against the real queue backend. Intentional differences documented in the plan: at-most-once \u2192 at-least-once, new `X-Delivery-Id` header, dead-letter on terminal failure.\nHistory: original = no regression test planned (PLAN.md:17-18), superseded by D9.\nState: approved\n\n### R10: Dependency graph recompute on every retry\nFinding: P1-perf, P2, confidence 8/10, PLAN.md:21-23, reviewer: plan-eng-review (native)\nPlan baseline: \"On every retry we re-fetch the full job payload from the database, then iterate the payload to recompute the dependency graph. Could cache the graph on the first attempt; not planned.\"\nRuntime evidence: unknown \u2014 no payload, graph or DB code in this repository; cost per recompute unmeasured\nState: pending\nComparison grid:\n\n| Choice | Current | A) Persist graph with the job on attempt 1, keyed by payload version | B) In-process memo keyed by job id | C) Recompute every attempt (as planned) |\n|---|---|---|---|---|\n| R10 graph computation per retry | recompute + full payload fetch each attempt | attempt 1 computes and stores serialized graph + `payloadVersion` (e.g. `updatedAt` or hash) alongside the job; retries load graph and skip the payload iterate when versions match, recompute on mismatch | attempt 1 memoizes in worker memory; hit only if the retry lands on the same process before eviction | fetch + iterate each attempt (up to 8x) |\n| Staleness behavior | n/a | explicit: version mismatch \u2192 recompute; tested | silent: stale memo if payload edited between attempts | none (always fresh) |\n| Survives worker restart | n/a | yes (persisted) | no | n/a |\n| R1, R3\u2013R9 | approved | fixed | fixed | fixed |\n\nQuestion D10: Graph caching. Options: A) Persist the computed graph with the job, invalidate on payload version (recommended); B) In-process memo; C) Recompute every attempt.\nActual answer: **A \u2014 Persist graph with job, version-keyed** (D10 answer)\nAccepted scope: attempt 1 computes the dependency graph and stores `{graph, payloadVersion}` on the job record (`payloadVersion` = payload `updatedAt` or content hash). Retries compare the current payload version with the stored one: match \u2192 use stored graph and skip the payload iterate; mismatch \u2192 recompute and overwrite. Tests: cache hit skips iterate (spy/count); version mismatch recomputes; restart between attempts still hits (persisted). Docs: note the field in the job schema.\nHistory: original = recompute every attempt, cache \"not planned\" (PLAN.md:21-23), superseded by D10.\nState: approved\n",
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          "question": "D4 \u2014 Retry mechanism: use the job library's built-in retry hooks, or roll the custom inline scheduler?\nProject/branch/task: fixture repo on `main`; PLAN.md \"Add background job retry framework\", finding S1 (PLAN.md:6-8).\nELI10: Your job library already knows how to retry a failed job later. The plan says it will ignore that and write its own \"wait, then try again\" timer inside each of 5 workers, because you want control over how long the waits are. But almost every job library lets you hand it your own wait-time function, so you get the exact curve you want while the library handles the hard parts: persisting the retry across a process crash, not double-running a job when two workers race, and reporting attempt counts. A hand-rolled inline timer typically loses all three the first time a worker restarts mid-backoff.\nStakes if we pick wrong: with the custom scheduler, a worker restart during a backoff sleep silently drops the retry (job lost) or re-enqueues it twice; with library hooks you inherit its persistence and visibility.\nRecommendation: A because it is [Layer 1] proven code, gives the identical control over the curve via one backoff function, and shrinks the change from 5 inline schedulers to one function plus config. Effort: A (human: ~half day / CC: ~10 min), B (human: ~3 days / CC: ~45 min), C (human: ~1 hr / CC: ~5 min).\nCompleteness: A=9/10, B=5/10, C=N/A (investigation only, approves nothing)\nNet: same curve either way; A gets crash-safe persistence and observability for free, B pays for those later or ships without them. Runtime evidence unknown: this repo has no code, so A assumes the library's hook accepts a custom function (true for BullMQ, Sidekiq, Celery, Oban, Que, Faktory).",
          "header": "Retry mech",
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              "label": "A) Library retry hooks + one custom backoff function (recommended)",
              "description": "\u2705 Full control over the curve via a single backoff(attempt) function passed to the library\n\u2705 Retry state persisted by the library: survives worker restarts, no double-run on race\n\u2705 Attempt counts, failure reasons and dead-letter show up in the library's existing tooling\n\u274c Bound to the library's hook signature; if it lacks per-job backoff functions you need option C first"
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              "label": "B) Custom inline scheduler in each worker (as planned)",
              "description": "\u2705 Zero dependency on the library's retry API; you own every line of the behavior\n\u2705 Can express curves a library hook might not (e.g. per-tenant curves) without a wrapper\n\u274c Must reimplement persistence, crash-safety, attempt tracking and observability in 5 places\n\u274c Sleep-in-process backoff loses the retry on any restart or deploy mid-wait"
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              "label": "C) Investigate the library's retry hook API before deciding",
              "description": "\u2705 Removes the one assumption in A: that the hook accepts a custom backoff function\n\u2705 Cheap: read the library's retry docs and one existing worker's config (CC: ~5 min)\n\u274c Delays the decision; R2-R5 stay pending until this resolves\n\u274c Approves nothing; the plan keeps the custom scheduler as baseline until you answer again"
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        "D4 \u2014 Retry mechanism: use the job library's built-in retry hooks, or roll the custom inline scheduler?\nProject/branch/task: fixture repo on `main`; PLAN.md \"Add background job retry framework\", finding S1 (PLAN.md:6-8).\nELI10: Your job library already knows how to retry a failed job later. The plan says it will ignore that and write its own \"wait, then try again\" timer inside each of 5 workers, because you want control over how long the waits are. But almost every job library lets you hand it your own wait-time function, so you get the exact curve you want while the library handles the hard parts: persisting the retry across a process crash, not double-running a job when two workers race, and reporting attempt counts. A hand-rolled inline timer typically loses all three the first time a worker restarts mid-backoff.\nStakes if we pick wrong: with the custom scheduler, a worker restart during a backoff sleep silently drops the retry (job lost) or re-enqueues it twice; with library hooks you inherit its persistence and visibility.\nRecommendation: A because it is [Layer 1] proven code, gives the identical control over the curve via one backoff function, and shrinks the change from 5 inline schedulers to one function plus config. Effort: A (human: ~half day / CC: ~10 min), B (human: ~3 days / CC: ~45 min), C (human: ~1 hr / CC: ~5 min).\nCompleteness: A=9/10, B=5/10, C=N/A (investigation only, approves nothing)\nNet: same curve either way; A gets crash-safe persistence and observability for free, B pays for those later or ships without them. Runtime evidence unknown: this repo has no code, so A assumes the library's hook accepts a custom function (true for BullMQ, Sidekiq, Celery, Oban, Que, Faktory).": "A) Library retry hooks + one custom backoff function (recommended)"
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      "answeredAt": "2026-09-16T02:56:33.542Z"
    },
    "preAskPlan": "# Eng Review: PLAN.md \u2014 \"Add background job retry framework\"\n\nReviewed target: `PLAN.md` in the plan-review fixture repo (branch `main`, commit 9ccfde1).\nReview skill: /plan-eng-review. Report file chosen per user request.\nRepo state: only `CLAUDE.md` and `PLAN.md` exist. No worker source, job library, or tests are present, so every \"existing code\" claim below is the plan's own statement; runtime evidence is marked **unknown** wherever it could not be verified.\n\n## Context\n\nThe plan adds retries to background jobs. It proposes a custom exponential-backoff scheduler inlined into each of 5 worker files, defers deduplicating the copy-pasted retry envelope, rewrites `processWebhookJob()` without a regression test for its at-most-once delivery guarantee, and re-fetches the job payload plus recomputes the dependency graph on every retry.\n\nThis review checks that plan for architecture, code quality, test coverage and performance, and records each decision the user makes.\n\n## Original plan (unchanged)\n\n> ## Architecture\n> We'll roll a custom exponential-backoff scheduler inline in each worker rather than use the existing job library's built-in retry hooks. Same shape as the library version, but we want full control over the curve.\n>\n> ## Code quality\n> The retry envelope (compute delay, log attempt, dispatch) is duplicated across 5 worker files with copy-pasted bodies. We will leave the duplication for now and refactor \"later.\"\n>\n> ## Tests\n> The existing `processWebhookJob()` flow gets rewritten as part of this change. No regression test for the prior at-most-once delivery guarantee is planned.\n>\n> ## Performance\n> On every retry we re-fetch the full job payload from the database, then iterate the payload to recompute the dependency graph. Could cache the graph on the first attempt; not planned.\n\n## Step 0: Scope Challenge\n\nFindings (severity, confidence, source):\n\n| # | Sev | Conf | Where | Finding | Disposition |\n|---|---|---|---|---|---|\n| S1 | P1 | 8/10 | PLAN.md:6-8 | Custom inline scheduler where the library has built-in retry hooks (plan's own words). Scope reduction opportunity [Layer 1]. | pending (R1) |\n| S2 | P1 | 9/10 | PLAN.md:16-18 | Retries convert `processWebhookJob()` from at-most-once to at-least-once; plan does not decide the new contract or a dedupe strategy. | pending (R2) |\n| S3 | P2 | 8/10 | PLAN.md:6-8 | No max-attempts bound, no terminal/dead-letter handling, no jitter specified. | pending (R3, R4) |\n| S4 | P1 | 9/10 | PLAN.md:11-13 | 5 copy-pasted retry envelopes deferred to \"later\". | pending (Section 2) |\n| S5 | P2 | 7/10 | PLAN.md:21-23 | Re-fetch payload + recompute dependency graph on every retry. | pending (Section 4) |\n\nComplexity gate: ~6 files, 0 new classes \u2014 below the 8-file / 2-class threshold, no gate.\nSearch check (WebSearch; Aside unavailable): consensus is at-least-once delivery + idempotent consumers, exponential backoff with full jitter, hard attempt cap, dead-letter queue. Library hooks = [Layer 1]; inline custom scheduler = [Layer 3] without a first-principles reason.\nTODOS.md: absent. Distribution: N/A (no new artifact).\n\n## Decision ledger\n\n### R1: Retry mechanism \u2014 library built-in hooks vs custom inline scheduler\nFinding: S1, P1, confidence 8/10, PLAN.md:6-8, reviewer: Claude (plan-eng-review)\nPlan baseline: original proposal \u2014 custom exponential-backoff scheduler inlined in each of 5 workers; library hooks unused.\nRuntime evidence: unknown \u2014 repo contains no worker source or job library. The plan asserts built-in retry hooks exist.\nState: pending\nComparison grid:\n\n| Choice | Current (plan) | A: library hooks + custom backoff fn | B: custom inline scheduler (as planned) | C: investigate library hook API first |\n|---|---|---|---|---|\n| R1 retry mechanism | custom inline \u00d75 | library retry hook, one backoff function | custom inline \u00d75 | unchanged, pending |\n| R2 webhook delivery contract | undecided | pending | pending | pending |\n| R3 attempt bound + terminal handling | undecided | pending | pending | pending |\n| R4 jitter | undecided | pending | pending | pending |\n| R5 shared envelope helper | duplicated \u00d75 | pending (mostly moot if A) | pending | pending |\n\nQuestion D4: see chat brief D4 (options A/B/C as above; A recommended).\nActual answer: unanswered\nAccepted scope: none\nHistory: none\n",
    "laterQuestionLine": "Question D4: \"Retry mechanism: use the job library's built-in retry hooks, or roll the custom inline scheduler?\" A) Library retry hooks + one custom backoff function (recommended, 9/10); B) Custom inline scheduler in each worker (5/10); C) Investigate the library's retry hook API first (N/A).",
    "limitation": "Only the first review question is retained here. Original retry had 15 acknowledged calls and zero recognized saved briefs. Later summary is historical evidence, not pre-ask credit."
  }
}