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* feat: add a restricted and supervised Claude Code runner Preserve configured authentication and models while enforcing tool access, strict completion JSON, bounded output and process cleanup. Cover argv, failure handling, session metadata and Windows process containment. * feat: route outside reviews by harness and migrate wrapper installs Use Claude Code from Codex and Codex from other supported hosts, with shared invocation rendering, positive gate validation and per-phase provenance. Rename /claude to /claude-code, repair managed shared and copied installations safely, and generate native Kiro skills. Add installed-workflow, failure-injection and live cross-harness regression coverage. * test: recognize CEO mode labels without terminal spacing The paid workflow rendered SCOPEEXPANSION at option 4, but its driver required a literal space. Match the leading mode title without cursor-spacing artifacts and ignore adjacent preview text. Preserve missing-target failures and downstream posture assertions. * test: isolate plan-count fixtures before starting review workflows Seed the complete test plan in a private git repository before launching Claude, so a bare slash command cannot review the live workspace while a delayed fixture message remains queued. Preserve count thresholds, parsers and budgets. Add initial-context and installed-discovery tests, and retain startup/terminal diagnostics on failed evaluations. * test: stabilize review fixtures and Claude eval startup Preserve source boundaries in workflow judge inputs, isolate CEO mode plans, and wait for interactive trust input readiness. Keep startup failure evidence and retain existing models, budgets, and assertions. Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: classify collapsed review modes and isolate seeded findings Keep review questions out of the setup count when terminal cursor positioning removes spaces. State existing webhook safeguards so the five-finding control measures its seeded defects without accidental extra security and concurrency gaps. Preserve question bands and the paired control. Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: isolate browser daemon state across free shards Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: stabilize native review counting and interactive navigation Co-Authored-By: OpenAI Codex <noreply@openai.com> * chore: prepare v1.82.0.0 release Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: eliminate browser and process-cleanup test flakes Pin every CI surface to Bun 1.4.0 to avoid extra-stdio finalizers closing reused live sockets. Add an isolated GC/listener regression that fails on Bun 1.3.13, and prevent coordinated rollback to an affected CI runtime. Check renderer cleanup against the render's own staging directory so concurrent renders cannot invalidate the assertion. Make the no-pgrep process-tree walk tolerate disappearing /proc entries, and synchronize its test fixture through child readiness and pipe EOF instead of sleeps. Validation: 9,157 passed, 31 skipped, zero failures across 556 files with retries disabled. Build, all-host generation freshness, and skill checks passed. All three races have failing-before/passing-after regressions. * fix: count completed native review questions in evals * fix: drive review navigation from confirmed native choices * fix: require complete section-loading eval reports * test: isolate telemetry HTTP transport from local assertions * fix: keep review input on the active native question * test: let tunnel revocation daemon choose an available port * test: allocate available ports for pairing and watchdog fixtures * fix: stabilize planning eval navigation and phase reporting * test: isolate installed runtime paths in planning evals * test: stabilize review evidence and concurrent refresh fixtures * fix: resolve design findings before editing the plan * fix: honor and persist disabled outside plan reviews * fix: preserve planning decisions and terminal evidence Load installed host reviews at autoplan phase entry and wait for completed reviewers and saved artifacts. Reuse approved remedies while preserving individual finding decisions. Drive interactive evals from the current terminal viewport, bind native questions across scrolling, and require complete native report evidence. Cover captured stale menus, permission lifecycles, setup classification, and disabled-review tool availability with deterministic regressions. Advance release metadata and the upgrade migration to the unclaimed 1.83.0.0 slot. * fix: drive native review questions and preserve current plans Use the native single-choice keyboard protocol and current terminal viewport, with per-question navigation inside packets and completed-call coverage. Keep permissions, multi-select menus, and Submit controls distinct. Send Autoplan reviewers the amended implementation plan, keep its review record separate, and supply retained application contracts in the chain fixture. Clarify individual DevEx decisions and complete CEO fix options; use one active plan destination for the section-loading report. * fix: preserve complete plan-review decisions * fix: recognize native plan dialogs and reviewer controls * fix: preserve review decisions and phase completion * fix: recognize completed reviews without losing findings * fix: preserve review continuity and native eval completion * test: fix native review completion and eval retry isolation * test: handle native review menus and complete eval fixtures * test: fix native review setup, completion, and isolation failures * test: limit native skill discovery to runtime assets * fix: bind Autoplan reviews to full ordered phase inputs * test: fix planning eval routing, counting, and timeout handling * chore: advance queued release to v1.84.0.0 * fix: preserve complete review inputs and planning decisions * fix: reconcile review approvals and preserve phase obligations * fix: preserve review obligations and unblock eval permissions Carry recorded Autoplan requirements into blind phase inputs, require Eng review approvals before exit, and exercise combined asynchronous flows in CEO reviews. Correct native finding and handoff classification and unblock repeated report edits using scoped request identities. * fix: retain plan requirements and complete native review dialogs * fix: complete native review prompts and retain plan references * fix: preserve review inputs and classify native eval evidence * fix: check competing completion orders in CEO reviews * fix: recognize review decisions and require phase methodology Require the current phase methodology before Autoplan snapshots. Correct substantive decision, closed handoff, and cache-finding classification, and honor the recommended implementation approach in native review dialogs. Add captured-transcript regressions without changing review thresholds, provider models, retries, or deadlines. * test: bind native review decisions and close completed handoffs * fix: complete review dialogs and verify methodology delivery * fix: preserve review evidence and unblock native eval prompts * fix: handle native review question completions * fix: recognize native review narration and controls * fix: count native review decisions and isolate eval fixtures * test: verify seeded review coverage and current artifact permissions * test: isolate model and brain-aware skill renders * fix: repair native workflow evaluation and clarify review steps * fix: stabilize workflow eval evidence and review guidance * test: repair native workflow observation and fixture isolation * fix: recognize completed workflow evidence and owned skill reads * test: repair seeded workflow delivery and completion evidence * test: recognize current review evidence across native forms * test: handle native review variants and permission redraws * fix: honor review preferences and recognize native eval evidence * test: recognize completed review decisions and queued permissions * test: match current review contracts and partial-line edits * test: recognize completed workflow evidence and bounded human waits * fix: preserve review entry gates and native eval interactions * fix: recognize native workflow evidence and preserve review gates * test: recognize current review evidence and preconfigure workflow fixtures * test: recognize completed review findings and scoped artifact permissions * fix: stabilize native workflow review and permission evidence * fix: recognize current review evidence and scoped edit confirmations Clarify Design and engineering review entry instructions and Design scoring. Recognize required legacy coverage and public Autoplan completion recaps. Bind the pending Edit confirmation to its exact file, ordered digest, and one-request approval when a preceding command display remains visible. Keep reviews within their existing size limits and preserve scope gates when extracting workflow fixtures from either supported preamble header. Keep failure outcomes, review thresholds, provider choices, and eval budgets. * fix: recover review workflow progress and eval evidence * fix: recognize valid review evidence and scope selection * test: fix review evidence parsing and repeated artifact prompts * test: recognize valid review decisions and pending native cards * fix(plan-eng-review): keep final navigation consistent with approved tasks * test: recognize valid review evidence and bind legacy diff requests * fix: stabilize review eval evidence and harness repair guidance * docs: update project documentation for v1.85.0.0 Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: fix Windows CI fixtures and credential scan Rebase captured JSON values and filesystem evidence using the appropriate path convention. Compile native fake CLIs on Windows and synchronize pipe holder readiness, with cleanup retained when assertions fail. Assemble synthetic credential fixtures at runtime so the added-line scan keeps enforcing the same gate without flagging its own rejection controls. Discover generated skills directly for the empty-find regression check, avoiding a recursive scan through saved evaluation artifacts and dependencies. * fix: preserve source renders on Windows Compare canonical generator paths using native separators so an output sidecar pointing at the source cannot overwrite its skill or metadata. Keep the regression fixture isolated from the real checkout and expose freshness diagnostics before asserting subprocess status. Detach Windows drain-test pipe holders from the fake provider's automatic child cleanup while preserving the enclosing runner job and its assertions. * fix: clarify outside review fallback and CEO decisions Render one applicable own-harness fallback path and retain native review, disabled policy, and missing-coverage semantics. Align report field names and mode labels, and make the existing per-cut scope approval explicit. Regenerate skill outputs and keep the workflow judge's model, thresholds, and retry policy unchanged. * chore: move release to free version slot (v1.86.0.0) PR #2852 now claims v1.85.0.0. Align the release metadata and rename migration so upgrades from that version still receive it. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: include engineering review prerequisites and restore branch context * fix: recognize coverage diagrams and clarify design review instructions * fix: preserve file identities and join Windows test processes --------- Co-authored-by: OpenAI Codex <noreply@openai.com>
106 lines
11 KiB
JSON
106 lines
11 KiB
JSON
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"provenance": {
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"sourceHead": "ca16058341c2e073051340d9653bbbc900f3ca36",
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"sourceProjection": ".context/ship-source-af-delta-paid-20260909-v1/ceo-dx-checkpoint-native-v1/plan-ceo-review-1788996831922-hVvVFP.json",
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"sourceObservation": "/home/vercel-sandbox/gstack/.context/ship-source-af-delta-paid-20260909-v1/evals/job-4/shards/skill-e2e-plan-ceo-finding-count/pty-count/ship-source-af-delta-paid-20260909-v1-4/plan-ceo-review-1788996831922-hVvVFP/observation.json",
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"capture": {
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"skill": "plan-ceo-review",
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"runId": "ship-source-af-delta-paid-20260909-v1-4",
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"cwd": "/tmp/gstack-paid-shard-dwNU1D/tmp/gstack-plan-count-wK9VSJ",
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"claudeConfigDir": "/tmp/gstack-paid-shard-dwNU1D/tmp/gstack-hermetic-3453136-s0UCHD/with-skills/.claude",
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"at": "2026-09-09T23:39:33.013Z"
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},
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"actualState": "in_progress",
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"administrative": 0
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},
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"content": "Exact two completed public native question/answer projections. No private model content or raw hook envelopes; title/header variants in tests are synthetic."
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},
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"rows": [
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{
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"call": {
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"toolUseId": "toolu_01MStyaf6aHrVkHDGqwd32u2",
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"questions": [
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{
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"header": "Finding 1",
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"question": "D4 \u2014 Issue 1: the success test asserts only that the receipt is truthy. How should it assert the receipt? <gstack-qid:plan-ceo-review-success-receipt-assertion>\nProject/branch/task: gstack-plan-count-wK9VSJ on main; PLAN.md test 1 (successful charge), lines 30-32.\nELI10: The plan says a 1000-cent USD charge with Stripe id ch_paid must return exactly { chargeId: \"ch_paid\", amountCents: 1000, currency: \"USD\" }. But the planned test only checks that something non-empty came back. A receipt with amountCents 100000, currency \"usd\", a missing chargeId, or even an empty object {} would pass. The test cannot fail for the regression it exists to catch.\nStakes if we pick wrong: a receipt-shape regression ships green, and the first person to notice is a customer reading a wrong amount on their receipt.\nRecommendation: 1A because the plan already states the exact expected value, so the test should assert exactly that and nothing weaker (well-tested code is non-negotiable; explicit over clever).\nCompleteness: 1A=10/10, 1B=6/10, 1C=1/10\nNet: exact contract enforcement vs a test that documents intent without enforcing it.",
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"options": [
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{
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"label": "1A) Deep-equal the full receipt (recommended)",
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"description": "\u2705 Assert the receipt deep-equals { chargeId: \"ch_paid\", amountCents: 1000, currency: \"USD\" } (toEqual / deepStrictEqual). Rejects wrong id, wrong amount, wrong currency, extra or missing keys. Failure output names the mismatched field (human ~10 min / CC ~1 min).\n\u2705 Verification: temporarily change the expected amount and confirm the test goes red, then restore.\n\u274c If the receipt legitimately gains a field later, this test must be updated; that is the point of a contract test."
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},
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{
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"label": "1B) Assert the three named fields individually",
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"description": "\u2705 Three toBe checks on chargeId, amountCents, currency; readable and still catches wrong values (human ~10 min / CC ~1 min).\n\u2705 Tolerates extra receipt fields without a test change.\n\u274c Silently passes if an unexpected extra field appears, so the exact shape stated in the plan is not enforced."
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},
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{
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"label": "1C) Keep truthy-only as planned",
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"description": "\u2705 Zero additional work; the test exists and runs.\n\u2705 Never needs updating when the receipt shape changes.\n\u274c Passes for {} or any wrong amount/currency; the stated contract is unprotected and the test gives false confidence."
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}
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],
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"multiSelect": false
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}
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"answers": {
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"D4 \u2014 Issue 1: the success test asserts only that the receipt is truthy. How should it assert the receipt? <gstack-qid:plan-ceo-review-success-receipt-assertion>\nProject/branch/task: gstack-plan-count-wK9VSJ on main; PLAN.md test 1 (successful charge), lines 30-32.\nELI10: The plan says a 1000-cent USD charge with Stripe id ch_paid must return exactly { chargeId: \"ch_paid\", amountCents: 1000, currency: \"USD\" }. But the planned test only checks that something non-empty came back. A receipt with amountCents 100000, currency \"usd\", a missing chargeId, or even an empty object {} would pass. The test cannot fail for the regression it exists to catch.\nStakes if we pick wrong: a receipt-shape regression ships green, and the first person to notice is a customer reading a wrong amount on their receipt.\nRecommendation: 1A because the plan already states the exact expected value, so the test should assert exactly that and nothing weaker (well-tested code is non-negotiable; explicit over clever).\nCompleteness: 1A=10/10, 1B=6/10, 1C=1/10\nNet: exact contract enforcement vs a test that documents intent without enforcing it.": "1A) Deep-equal the full receipt (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-09T23:37:26.793Z"
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},
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"fingerprintMetadata": {
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"signature": "8a4dd191-a7d0-48fb-b547-b2abe4255d0a:toolu_01MStyaf6aHrVkHDGqwd32u2",
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"observedAtMs": 249014,
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"preReview": true
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}
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},
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{
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"call": {
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"sessionId": "8a4dd191-a7d0-48fb-b547-b2abe4255d0a",
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"toolUseId": "toolu_017gPGmZxaFBxGjYSmanZUko",
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"questions": [
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{
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"header": "Finding 2",
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"question": "D5 \u2014 Issue 2: the repeated-502 test asserts only the rejection type; attempt count and backoff go unchecked. What should it assert? <gstack-qid:plan-ceo-review-502-retry-assertions>\nProject/branch/task: gstack-plan-count-wK9VSJ on main; PLAN.md test 2 (repeated 502), lines 33-36.\nELI10: The plan states the contract: with max_retries=1, two 502s mean exactly two charge attempts, one recorded 100 ms backoff, then PaymentUnavailable. The planned test checks only the final rejection. A regression that stops retrying (one attempt), retries forever until the mock runs dry, or skips the backoff would still reject with PaymentUnavailable and pass. The factory already exposes the Stripe mock call history and the virtual sleeper record, so the missing checks are two extra assertions, not new fixtures.\nStakes if we pick wrong: a retry regression ships green; customers either get double-charged attempts under a Stripe blip or no retry at all, and the test says everything is fine.\nRecommendation: 2A because the plan names exact values (two attempts, one 100 ms sleep) and the probes already exist; never weaken an exact count to a lower bound (edge cases over speed; observability is scope).\nCompleteness: 2A=10/10, 2B=5/10, 2C=2/10\nNet: enforcing the whole retry contract vs only its last symptom.",
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"options": [
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{
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"label": "2A) Rejection class + exact 2 calls + sleeper [100] (recommended)",
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"description": "\u2705 Assert rejects with an instance of PaymentUnavailable (class match, not message text), Stripe mock call history length is exactly 2, and the sleeper record equals [100]. Each is one line against existing factory probes (human ~15 min / CC ~2 min).\n\u2705 Verification: bump max_retries to 2 locally and confirm the call-count assertion goes red; restore. A failing assertion names which of the three invariants broke.\n\u274c Test must change if the retry policy is intentionally changed; that is the contract test doing its job."
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},
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{
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"label": "2B) Rejection class + call count, skip the sleeper check",
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"description": "\u2705 Catches no-retry and over-retry regressions with one extra assertion (human ~10 min / CC ~1 min).\n\u2705 Slightly less coupling to the backoff constant.\n\u274c A dropped or wrong backoff (0 ms hot loop against Stripe) passes; the plan explicitly states the 100 ms backoff as part of the contract."
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},
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{
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"label": "2C) Keep rejection-only as planned",
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"description": "\u2705 No extra work; the test exists and exercises the exhausted path.\n\u2705 Insensitive to retry-policy tuning.\n\u274c Passes with 1, 2, or 5 attempts and with no backoff; the two stated invariants have no coverage."
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}
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],
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"multiSelect": false
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}
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],
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"answered": true,
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"failed": false,
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"answers": {
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"D5 \u2014 Issue 2: the repeated-502 test asserts only the rejection type; attempt count and backoff go unchecked. What should it assert? <gstack-qid:plan-ceo-review-502-retry-assertions>\nProject/branch/task: gstack-plan-count-wK9VSJ on main; PLAN.md test 2 (repeated 502), lines 33-36.\nELI10: The plan states the contract: with max_retries=1, two 502s mean exactly two charge attempts, one recorded 100 ms backoff, then PaymentUnavailable. The planned test checks only the final rejection. A regression that stops retrying (one attempt), retries forever until the mock runs dry, or skips the backoff would still reject with PaymentUnavailable and pass. The factory already exposes the Stripe mock call history and the virtual sleeper record, so the missing checks are two extra assertions, not new fixtures.\nStakes if we pick wrong: a retry regression ships green; customers either get double-charged attempts under a Stripe blip or no retry at all, and the test says everything is fine.\nRecommendation: 2A because the plan names exact values (two attempts, one 100 ms sleep) and the probes already exist; never weaken an exact count to a lower bound (edge cases over speed; observability is scope).\nCompleteness: 2A=10/10, 2B=5/10, 2C=2/10\nNet: enforcing the whole retry contract vs only its last symptom.": "2A) Rejection class + exact 2 calls + sleeper [100] (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-09T23:37:52.442Z"
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},
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"signature": "8a4dd191-a7d0-48fb-b547-b2abe4255d0a:toolu_017gPGmZxaFBxGjYSmanZUko",
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"observedAtMs": 274654,
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"preReview": true
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}
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}
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