mirror of
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* fix: acknowledge seeded plans before invoking review skills * fix: distinguish current plan input from conversation history * fix: keep hermetic plan reviews on manual permissions * fix: distinguish tool discovery from file permission ownership * fix: preserve initial plan mode in observation tests * fix: wait for scope decisions before writing review findings * fix: carry autoplan decisions consistently into review artifacts * test: retain native failure context in periodic assertions * fix: advance active file permissions before queued questions * fix: finish red-team attempts before retry and cleanup * fix: finalize plan format captures and judges before retry * fix: cancel setup-gbrain SDK attempts before fixture cleanup * test: select periodic consumers of the bounded attempt helper * fix native Bash permission cards and queued questions * fix: preserve independent decisions and review scope Keep CEO approach, engineering scope and outside-review choices from approving independent remedies together. Carry declared contracts through DX polish and resolve new gaps before editing the plan. Regenerate every host and retain existing stop boundaries. Validation: 654 focused tests passed across nine files; all-host generation passed. Full free and periodic validation pending. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: require approval before design plan amendments Align the Design review philosophy and rating recipe with its section protocol: resolve one proposed fix, then apply only that approved decision and retain honest scores for declined fixes. Validation: 469 focused tests passed across four files; all-host generation passed. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: observe native question completion before transcript persistence Match owned completion hooks to submitted choices, reject conflicting or late answers, and retain bounded failure evidence. * test: recognize review posture in acknowledged native questions Require the selected mode acknowledgement, a completed follow-up question, and its current decoded display while preserving existing posture assertions. * fix: preserve settled CEO choices and isolate pending remedies Resolve established approach gates with cited authority and keep independent fixes out of unrelated option commitments and plan amendments. * fix: carry approved DX choices through later review steps Choose documentation approaches within the accepted scope and map resolved confusion points without reopening them through a bulk menu. * test: handle native settings-file edit prompts Keep one-time owned-file approvals and retain the actual sampled Autoplan permission frame with its matching barrier state. * test: accept standard CEO reply directives with tuning footers Recognize the exact trailing preference footer and letter-list directive while preserving current-display and exact acknowledgement checks. * test: scope split reviewers to their generated plan artifacts * test: observe native Bash permissions and invocation results * test: handle owned Bash prompts during mode preference checks * test: preserve synchronous subprocess rejection in Codex fixture * Fix periodic review handoff navigation Recognize review-first and explicit manual-next-step labels while preserving exact action families, manual preference, and ambiguous-menu rejection. Co-authored-by: OpenAI Codex <noreply@openai.com> * Bind pending file permissions to distinct current targets Allow one captured file request to own the complete current dialog while unrelated file work is pending. Preserve same-path ambiguity, exact input ownership, and one-time grant checks. Co-authored-by: OpenAI Codex <noreply@openai.com> * Make paired CEO verification choices genuinely unresolved Start the positive control with proposed manual checks so its unchanged oracle measures two new coverage decisions. Preserve runtime contracts, targets, count bounds, and all assertions. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep CEO review options and verification within approved scope Audit every offered option for independent add-ons and keep new verification depth pending until accepted. Preserve already requested coverage and trace plan changes to the actual decision. Co-authored-by: OpenAI Codex <noreply@openai.com> * Assemble DX review artifacts before appending the final report Keep early DX evidence above decisions, update artifact sections in place, and append the report using the actual current file suffix. Re-read after deleting an existing report before choosing the append anchor. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep outside plan reviews exclusive and invocation-owned Follow one preflight-selected backend, terminate failed Codex work before fallback, and allocate extra prompt/output files uniquely. Consume only the current invocation’s completed output. Co-authored-by: OpenAI Codex <noreply@openai.com> * Select periodic completion evaluations for report writer changes Register the shared review resolver for eight missing consumers and regress selection for all nine completion cases without changing their IDs or tiers. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep permission ambiguity fixtures on the same normalized target Use distinct raw spellings of one target in the four negative fixtures so they exercise the normalized duplicate-owner guard after exact current-file disambiguation. Preserve the existing exception, no-input, diagnostic and cleanup assertions. Co-authored-by: OpenAI Codex <noreply@openai.com> * Clarify preserved contracts in engineering review fixture Co-authored-by: OpenAI Codex <noreply@openai.com> * Recognize the offered DX follow-up handoff Co-authored-by: OpenAI Codex <noreply@openai.com> * Check independent commitments before presenting review options Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep Codex review output and status in one shell invocation Co-authored-by: OpenAI Codex <noreply@openai.com> * Distinguish seeded plans from reports written by a test attempt Co-authored-by: OpenAI Codex <noreply@openai.com> * Recover clipped Autoplan file approvals with bounded viewport resizing Co-authored-by: OpenAI Codex <noreply@openai.com> * Recover clipped Bash approvals before binding the complete command Co-authored-by: OpenAI Codex <noreply@openai.com> * Isolate setup message tests from the shared checkout Run the real installer in a temporary payload with private config, require successful completion, and guard source and binary contents and mtimes. Co-authored-by: OpenAI Codex <noreply@openai.com> * Fix periodic native permission and report completion handling Match the pinned CLI's soft wraps and clipped headings without granting from incomplete frames. Retire completed file requests, retain mode annotations, and ask section captures for a short final acknowledgement after their full report is saved. Co-authored-by: OpenAI Codex <noreply@openai.com> * Preserve review approvals and validate DX comparison artifacts Keep independent remedies and approved amendments explicit. Give the synthetic DX review its existing documentation and validate peer comparison as required analysis alongside four native decisions. Add positive and negative semantic calibrations while preserving review counts, model budgets and prompt size limits. Co-authored-by: OpenAI Codex <noreply@openai.com> * Make the five-finding CEO fixture's application boundary explicit Materialize the request adapter and service composition used by the synthetic payment application. Explicitly declare the revised unregistered-event and mail-telemetry assumptions while preserving uncaught handler errors, the original invoice path and all five unresolved findings. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep CEO state-path checks scoped to directory preparation Co-authored-by: OpenAI Codex <noreply@openai.com> * Use checked ports and bounded cleanup in pair-agent tests Discover the daemon port from its owned state file, retain startup diagnostics, and await failed-start cleanup. Add occupied-port, early-exit, deadline, and foreign-state regressions while preserving the existing HTTP assertions and hook budgets. Co-authored-by: Codex <noreply@openai.com> * Preserve queued edit identity and recover clipped Bash permissions Distinguish separately queued unfinished edits from mutation of one native tool ID. Keep grants bound to an exact owned request and reject reused IDs, ambiguous inputs, and competing owners. Support the pinned renderer's literal em dash and request a repaint when only the Bash card's top rule is clipped. Grants still require the complete fresh card and an exact native acknowledgment. Validation: 413 integrated parser/event tests passed; private repaint controls and joint source review passed. Full canonical suite and native periodic rerun remain pending. Co-authored-by: Codex <noreply@openai.com> * Keep periodic reviews within their approved contracts and deliverables Carry exact approvals through engineering review, preserve declared contracts when amending CEO plans, and keep prioritization at the requested decision level. Materialize the revised synthetic SDK reference contract while retaining the five original documentation gaps. Accept the observed semicolon in the finite DX handoff menu and register the direct source dependencies used by the engineering cases. Regenerate canonical review documents without changing model budgets, retries, count bands, or native completion assertions. Validation: all-host generation and 275 review, fixture, selection and parity tests passed. Full free-suite and native periodic validation remain pending. Co-authored-by: Codex <noreply@openai.com> * Keep Eng approval cadence and independence guards explicit * Accept ordinary punctuation in manual review handoffs * Recover file permissions alongside queued Bash calls * Carry approved DX work through later review findings * Clarify the synthetic auth internal failure decision * Bound the periodic DX fixture to onboarding changes * Recognize native Design review handoff labels * Hold scope in the integration-choice review fixture * Carry approved Design decisions through review evidence * Capture listener state when feedback reload fails * Exclude workspace caches before checking deprecated flags * Verify Design UI scope against a seeded review plan * Clarify plan review decisions and outside-voice approval flow * Reject setup menus in the Design UI gate * docs: require focused repair validation before final acceptance * fix: separate review commitments within existing prompt budgets * docs: align generation and contributor validation guidance * fix: advance native review prompts and count acknowledged findings * chore: bump version and changelog (v1.87.1.0) Co-Authored-By: OpenAI Codex <noreply@openai.com> * chore: enforce cheap checks and side-effect-free validation previews * fix: handle owned Fetch permissions and oversized native cards * test: ground review fixtures in independent executable contracts * fix: preserve review decisions and verify reports before completion * test: construct the synthetic credential URL without a scanner false positive * test: materialize DX examples and verify their actual local behavior * fix: clarify CEO review decisions and execution order * fix: clarify review workflow ordering and select Design quality checks * Fix review decision gates and incomplete evaluation fixtures Persist CEO and engineering commitment ledgers before menus, preserve exact approvals, and distinguish implementation structure from feature scope. Route Autoplan through the canonical CEO Step 0 ordering. Classify DX findings before requesting approval and ground runtime claims in actual evidence. Complete neutral non-target fixture contracts and accept the captured Design handoff purpose without relaxing its ownership or acknowledgment checks. Record runtime-capability verification in AGENTS.md validation discipline. Validation: 1,335 focused tests passed across 21 files; build, all-host freshness, skill validation (647 artifacts / 107 tracked), and credential checks passed. Prior paid failures are preserved; behavioral acceptance remains pending. * Fix review decision boundaries and owned Read prompts Preserve exact approvals across review options, compare consistent DX milestones, and keep proposed implementation separate from review evidence. Bind modern Read prompts to one immutable native request and wait for its result. Retain captured regression verdicts, correct fixture error names, improve import probe diagnostics, and record focused-first validation discipline in AGENTS.md. * Clarify CEO and engineering review decisions Use explicit decision steps, one engineering ledger, and clear scope/write transitions. Preserve exact approvals and distinguish pending test requirements. Keep unrelated generated content unchanged. * Fix review decision ordering and native evaluation interactions * Clarify engineering decisions and test artifact order * Clarify pending choices and approvals in CEO reviews * Make CEO review phases sequential and clarify completion * Fix Design board submission intent matching * Seed an existing browser test baseline for Autoplan * Document decision-log payloads before state initialization * Preserve exact review scope and decide one change before drafting options * Require input identity before repeating passing model judges * Honor permitted storage throughout CEO review completion * Match complete native permission text within the pinned renderer contract * Align review approvals, independent choices, and bounded validation * fix: preserve reopened approvals and declare fixture interfaces * fix: isolate review artifacts and audit complete questions * fix: match detector artifact permissions to configured storage * fix: complete native permissions and review fixture workflows * fix: order CEO review work and separate engineering guarantees * fix: preserve native validation and separate review choices * fix: clarify review decisions and judge complete report context * fix: constrain review judgments and retain parse failures * fix: compare each affected value before review decisions * fix: make engineering review decisions and completion order explicit * fix: give the complete Autoplan evaluation a bounded chain budget * fix(cso): diagnose forbidden Docker endpoints before tool lookup * fix(reviews): reconcile workflow contracts and generated artifacts after main integration * fix(evals): migrate retained regressions to the native review harness * fix(tests): close native harness and workflow integration regressions * fix(evals): preserve complete permission context and native menu contracts * fix(tests): capture synchronous command output without pipe drain stalls * fix(reviews): clarify decision and completion ordering * fix(reviews): separate decision readiness from final completion checks * refactor(reviews): consolidate decision rules and completion branches * fix(plan-eng-review): order preparation and clarify decision routing * fix(plan-eng-review): restore size and question-format guard parity * fix(plan-eng-review): clarify scope phases and blocked completion * fix(plan-eng-review): unify review flow and report destination * fix(plan-eng-review): define bootstrap and question stage ownership * fix(plan-eng-review): clarify review structure and design lookup * fix(plan-eng-review): render report examples and show saved decisions * fix: consolidate Eng review decisions and select their evaluations * test: cover overlapping terminal attachments and clean merged runner type * fix: preserve Office Hours relationship closings during review updates * fix: retain pasted review targets across slash invocations * docs: preserve validation traces and correct release scope * test: cover pasted targets in both review skills * fix: validate report artifacts before recording success * fix: redact source roots at CSO report boundaries * fix: bind native Design questions before answering * test: select report privacy and native recovery regressions * test: bind rejection predicate in extracted observers * fix: bind complete boxed native questions * test: keep the Design UI fixture on native review * fix: preserve review decisions and evaluation completion outcomes * fix: clarify CEO approval and report completion order * fix: align native review evaluation ownership and completion * fix: bind review evaluators to native decisions and owned artifacts * fix: validate review decisions against native outcomes * fix: preserve review evidence and Autoplan phase handoffs * test: bind review evidence to owned decisions and completion * fix: retain owned native history across compaction * fix(evals): validate current review decisions and setup choices * fix: bind Autoplan reviews and phase completion to current amended input * fix: reconcile native review evidence and close Autoplan phases * test: recognize owned whole-candidate complexity decisions * test: preserve report freshness for approved investigation handoffs * fix: recognize scoped review findings and isolate dual voice fixtures * fix: make review handoffs and question dispatch self-contained * test: recognize complete CEO decisions and procedural pauses * fix: bind current CEO comparison options and risk intervals * test: bind engineering decisions and completion to owned evidence * fix: publish Autoplan phase reports before continuing tools * test: verify actual Autoplan dual-review dispatch evidence * test: select dual review when shared evidence fixtures change * fix: clarify plan review decisions and completion gates * fix: make CEO review decisions and return paths explicit * test: keep Autoplan prompt files inside attempt state * test: preserve source whitespace across permission dialog wraps * fix: publish Autoplan phase reports before continuing * test: recognize current CEO comparisons and reject inactive records * fix: reconcile engineering decision states before completion * test: recognize complete Design decisions and reports * test: verify current engineering decisions before navigation * Recognize source-owned component reduction choices * fix: recognize current CEO ledger and commitment grids * test: supply RequestPolicy context to Eng count fixture * fix: save complete engineering decisions before asking * fix: bind Autoplan publication to the complete phase readback * chore: prepare 1.87.5.0 reliability release * fix: clarify engineering review completion and preserve log failures * fix: bind CEO saved choices and current section ancestry * fix(evals): bind review execution and completion evidence * fix(plan-ceo-review): verify complete decisions before asking * fix(evals): preserve complete engineering choice records * fix(evals): preserve complete review outcomes and bounded fixtures * fix(autoplan): publish phase reports before advancing * fix(plan-ceo-review): validate option fields before asking * fix(plan-eng-review): verify current decisions after answers * fix(evals): bind review decisions and bound fixture scope * fix(plan-ceo-review): verify decision rows and edit saved checkpoints * fix(evals): bind review evidence and scope document lookup * fix(plan-eng-review): update resolution state with its answer * fix(reviews): preserve complete questions through dispatch * fix(evals): recognize completed mode declarations * fix(evals): define cache consistency at wrapper completion * fix(evals): validate owned initial scope and completed review handoffs * fix: assemble complete CEO decision fields before saving * fix: authenticate automatic mode decisions without guessing selectors * fix: bind engineering coverage to approved regression contracts * fix(evals): supply review helpers to native Eng capture * fix(plan-eng-review): preserve the full selected option scope * fix(evals): recognize owned engineering seed and regression evidence * fix(evals): bind engineering retry reports to native approvals * docs: clarify release guarantees (v1.87.5.0) Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix(evals): recognize owned engineering decisions and handoffs * fix(evals): bind engineering decisions and completion evidence * fix(tests): align review contracts and selection fixtures * fix(skills): restore review prompt size limits * fix(plan-eng-review): clarify review execution and completion * fix(evals): preserve configured retries through all supervision layers * Clarify Engineering decisions and report completion * Keep native decision assertions within their source boundary * fix: recognize owned engineering decisions and completed navigation * fix: bind completed auto decisions to their current review * fix: recognize explicit CEO source attribution * fix: dispatch verified CEO decisions without recomposing fields * test: expose existing execution deadlines to review actors * fix: distinguish CEO decision records from incidental headings * test: bind split-scope choices to the registered native actor * test: connect reviewed regressions to required evaluation coverage * Clarify CEO decision routing and completion stages * test: expose existing section review deadlines to fixture actors * test: recognize complete native CEO pacing inventories * test: exclude answered history from current CEO payloads * test: detect phase entry through owned skill HOME aliases * test: validate native review completion and owned report permissions * fix: make Autoplan close packets carry the parent handoff steps * test: assess source-bound HOLD decisions within the existing deadline * fix: keep CEO native decision fields under one formatting authority * test: register integrated review and permission dependencies * test: align native review adapters and finding coverage Preserve explicit AUTO decisions, apply native single-select defaults, and bind complete cropped questions and report permissions to their owned requests. Require seeded review findings instead of crediting setup menus. Keep captured failure controls and additive selection dependencies. The integrated candidate passed 3,099 focused tests across 65 files; affected paid validation remains required before publication. * fix(autoplan): require phase reports before advancing * fix(evals): bind setup and evidence to complete attempts * fix(evals): bind native answers and pending writes to fixture scope Preserve complete option rows when native descriptions wrap, retain current owned Write arguments before journal publication, and keep engineering and DX answers within their declared fixture interfaces. Add captured free regressions without increasing model budgets or relaxing completion checks. * fix(autoplan): verify phase reports across native tool paths Guard owned methodology reads and reviewer dispatches, detect complete driver loads through Bash, and distinguish report-only edits from implementation changes. Follow authenticated native UUID ancestry when journal writes arrive out of order and verify earlier native content for cached phase reads. Keep current close acknowledgment and parent publication in order, require CEO entry before later phases, and register captured failure regressions. * fix(evals): honor native input and collection lifecycles Match complete native Edit panes and truncated question borders, reject stderr close before EOF, and stop the CEO split fixture once its acknowledged scope decisions are collected. Keep semantic validation, process failures, report requirements, and absolute deadlines authoritative. Add captured-event and real-process regressions with selection dependencies. Focused checks pass; final integrated paid and full-suite acceptance remain pending. * fix(autoplan): retain native session ownership across directory changes Recover missed native UUID ancestry through the existing strict graph while preserving ordinary event order and legacy scoping. Bind publication hooks to Claude's original project directory while retaining current cwd for requested file paths. Captured public-event regressions, existing caller checks, and a pinned native CLI loopback verify both fixes. Preserve failed attempts and require fresh paid and final full-suite acceptance. * docs: align evaluation limits and completion version * fix(autoplan): allow authenticated phase reads during journal streaming * fix(evals): bind clipped native questions and owned edit dialogs * fix: preserve overlay retries and bounded cleanup * fix: recognize owned planning preludes in native questions * docs: explain overlay scheduling and cleanup guarantees * fix: require fresh publication after Autoplan phase reruns * Release gstack 1.87.6 * fix: preserve CI paths, process identity, and test deadlines * fix: keep informational setup commands independent of install probes * fix: clarify plan review decisions and bound source audit reports * Fix remaining Windows identity and native path CI failures * Clarify CEO review decision and reviewer-result routing * test: accept no-install planner in retry supervision * fix(ceo-review): make review decisions and report completion explicit * perf(test): add fast PR gates, input-keyed judge reuse and isolated free shards * fix(test): start isolated CEO smoke from its existing project plan * fix(test): repair CI fixture races and preserve retry evidence * fix(ceo-review): clarify approvals, depth and saved completion --------- Co-authored-by: OpenAI Codex <noreply@openai.com>
215 lines
27 KiB
JSON
215 lines
27 KiB
JSON
{
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"source": "67147822f55b911c033617f759dc472d0d348e72",
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"provenance": "Exact public native calls/ACKs; no hidden reasoning. Retained projection /home/vercel-sandbox/gstack/.context/sep15-ship-consolidation/eng-67147822-monitor/skill-e2e-plan-eng-finding-count/plan-eng-review-1789475406848-PQYQYI/2026-09-15T12-36-42.857Z/public-events.json",
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"calls": [
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{
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"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
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"toolUseId": "toolu_0132opRveDK8ZM38A4MJEx4Q",
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"questions": [
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{
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"question": "D1 \u2014 Add gstack skill routing rules to this project's CLAUDE.md?\nProject/branch/task: main branch of the plan-review fixture repo; this is a one-time gstack setup prompt before the review starts.\nELI10: gstack has a bunch of slash-command skills (review, ship, investigate, etc.). Routing rules in CLAUDE.md tell the assistant which skill to reach for when you say things like \"review this\" or \"fix this bug\", so you don't have to remember the names. Without them you invoke skills by hand.\nStakes if we pick wrong: Low either way. Choosing A adds a short section to CLAUDE.md and a commit; choosing B means manual skill invocation until re-enabled.\nRecommendation: A because routing makes skills discoverable with zero ongoing cost, and it's a one-line config flip to undo.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: convenience now vs. keeping CLAUDE.md untouched. Note: plan mode is active, so if you pick A the CLAUDE.md edit and commit will be deferred until we leave plan mode.",
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"header": "Routing",
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"multiSelect": false,
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"options": [
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{
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"label": "Add routing rules (recommended)",
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"description": "\u2705 Natural-language requests auto-route to the right gstack skill without memorizing names\n\u2705 Single reversible commit; team sees the same routing when they pull\n\u274c Touches CLAUDE.md and adds a commit (deferred until plan mode exits)"
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},
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{
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"label": "No thanks, invoke manually",
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"description": "\u2705 CLAUDE.md stays exactly as-is, no extra commit on this branch\n\u2705 Re-enable any time with one gstack-config command\n\u274c You must remember and type each /skill name yourself"
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}
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]
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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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"D1 \u2014 Add gstack skill routing rules to this project's CLAUDE.md?\nProject/branch/task: main branch of the plan-review fixture repo; this is a one-time gstack setup prompt before the review starts.\nELI10: gstack has a bunch of slash-command skills (review, ship, investigate, etc.). Routing rules in CLAUDE.md tell the assistant which skill to reach for when you say things like \"review this\" or \"fix this bug\", so you don't have to remember the names. Without them you invoke skills by hand.\nStakes if we pick wrong: Low either way. Choosing A adds a short section to CLAUDE.md and a commit; choosing B means manual skill invocation until re-enabled.\nRecommendation: A because routing makes skills discoverable with zero ongoing cost, and it's a one-line config flip to undo.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: convenience now vs. keeping CLAUDE.md untouched. Note: plan mode is active, so if you pick A the CLAUDE.md edit and commit will be deferred until we leave plan mode.": "Add routing rules (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-15T12:30:12.869Z"
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},
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{
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"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
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"toolUseId": "toolu_01CNpyfxZe3N5xooQgvgGr4B",
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"questions": [
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{
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"question": "D2 \u2014 No design doc found. Run /office-hours first, or go straight into the engineering review?\nProject/branch/task: main branch; reviewing PLAN.md \"Multi-tenant Auth Refactor\" with no design doc on disk.\nELI10: A design doc is the \"why\" behind the plan: the problem statement, the premise challenge, and the alternatives that were considered and rejected. /office-hours produces one in about 10 minutes and gives this review sharper input. Without it I review the plan on its own terms, using what it states and what I can infer.\nStakes if we pick wrong: Skipping risks reviewing a plan whose premise is off (e.g. a shared mutable cache was never the right shape). Running it costs ~10 minutes before any review output lands.\nRecommendation: B because you asked for the reviewed plan as a concrete deliverable at a named path, the plan already states its architecture and known smells, and the repo holds no source to ground a premise challenge against.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: 10 minutes of upstream thinking vs. getting the review you asked for now. Skipping is not fatal; the Scope Challenge still questions the premise.",
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"header": "Design doc",
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"multiSelect": false,
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"options": [
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{
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"label": "Skip \u2014 standard review (recommended)",
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"description": "\u2705 Review starts now against the plan as written; deliverable lands sooner\n\u2705 Scope Challenge still questions the shared-cache premise and the 4-class footprint\n\u274c No structured record of alternatives considered before this architecture was picked"
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},
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{
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"label": "Run /office-hours now",
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"description": "\u2705 Produces a design doc with problem statement, premise challenge, explored alternatives\n\u2705 Later reviews and teammates get the reasoning, not just the plan\n\u274c ~10 minutes of interactive Q&A before the engineering review begins"
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}
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]
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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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"D2 \u2014 No design doc found. Run /office-hours first, or go straight into the engineering review?\nProject/branch/task: main branch; reviewing PLAN.md \"Multi-tenant Auth Refactor\" with no design doc on disk.\nELI10: A design doc is the \"why\" behind the plan: the problem statement, the premise challenge, and the alternatives that were considered and rejected. /office-hours produces one in about 10 minutes and gives this review sharper input. Without it I review the plan on its own terms, using what it states and what I can infer.\nStakes if we pick wrong: Skipping risks reviewing a plan whose premise is off (e.g. a shared mutable cache was never the right shape). Running it costs ~10 minutes before any review output lands.\nRecommendation: B because you asked for the reviewed plan as a concrete deliverable at a named path, the plan already states its architecture and known smells, and the repo holds no source to ground a premise challenge against.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: 10 minutes of upstream thinking vs. getting the review you asked for now. Skipping is not fatal; the Scope Challenge still questions the premise.": "Skip \u2014 standard review (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-15T12:31:43.051Z"
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},
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{
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"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
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"toolUseId": "toolu_01A2VPbDNvcHLa4dz1pBwoLY",
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"questions": [
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{
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"question": "D3 \u2014 Scope: keep the legacyAuthFlow() rewrite in this change, or defer it to a follow-up?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, Scope Challenge finding S3 (PLAN.md:27-28).\nELI10: The plan builds new auth services AND rewrites the existing legacyAuthFlow() onto them in one go. That's the whole refactor landing at once. The alternative is two steps: land the new services plus characterization tests of the legacy path now, then rewrite legacy in a second change. Fewer moving parts per change, but the new services sit unused until step two.\nStakes if we pick wrong: Bundle it and a regression in the legacy path lands in the same diff as five new units, making bisecting painful. Defer it and you ship dead code plus a second risky PR that still has all the same exposure.\nRecommendation: A because the rewrite IS the refactor; deferring it produces unused services and moves the risk rather than reducing it. How to land it safely (new path behind a flag, legacy kept until parity) is an Architecture question I'll ask separately, not a scope cut.\nCompleteness: A=10/10, B=6/10\nNet: one complete change with staged rollout vs. two changes where the first has no user-visible effect. This chooses scope only; the flag/strangler mechanics and regression tests are still pending.",
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"header": "Scope",
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"multiSelect": false,
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"options": [
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{
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"label": "Keep rewrite in scope (recommended)",
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"description": "\u2705 Delivers the actual refactor; new services get a real caller in the same change (human: ~3 days / CC: ~1h for the rewrite itself)\n\u2705 One review, one bisect target, one rollout to babysit\n\u274c Largest single diff; regression coverage of legacy becomes non-negotiable before merge"
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},
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{
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"label": "Defer rewrite to follow-up",
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"description": "\u2705 Smaller first change: new services + characterization tests only, legacy untouched\n\u2705 Legacy tests exist before any rewrite starts\n\u274c New services are dead code until PR2; PR2 carries identical regression risk plus drift from PR1"
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}
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]
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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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"D3 \u2014 Scope: keep the legacyAuthFlow() rewrite in this change, or defer it to a follow-up?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, Scope Challenge finding S3 (PLAN.md:27-28).\nELI10: The plan builds new auth services AND rewrites the existing legacyAuthFlow() onto them in one go. That's the whole refactor landing at once. The alternative is two steps: land the new services plus characterization tests of the legacy path now, then rewrite legacy in a second change. Fewer moving parts per change, but the new services sit unused until step two.\nStakes if we pick wrong: Bundle it and a regression in the legacy path lands in the same diff as five new units, making bisecting painful. Defer it and you ship dead code plus a second risky PR that still has all the same exposure.\nRecommendation: A because the rewrite IS the refactor; deferring it produces unused services and moves the risk rather than reducing it. How to land it safely (new path behind a flag, legacy kept until parity) is an Architecture question I'll ask separately, not a scope cut.\nCompleteness: A=10/10, B=6/10\nNet: one complete change with staged rollout vs. two changes where the first has no user-visible effect. This chooses scope only; the flag/strangler mechanics and regression tests are still pending.": "Keep rewrite in scope (recommended)"
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|
},
|
|
"unansweredQuestionIndices": [],
|
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"answeredAt": "2026-09-15T12:33:19.301Z"
|
|
},
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{
|
|
"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
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"toolUseId": "toolu_01WbHgsjLnfoYvd6RLmsdPce",
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"questions": [
|
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{
|
|
"question": "D4 \u2014 Structure: keep all five new units, or fold two of them?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, Scope Challenge findings S1/S2 (PLAN.md:11-12, :19, :35-36).\nELI10: The plan adds five new units: AuthBroker, SessionMint, TokenStore, AuthCache, RequestPolicy, across 12 files. Two look foldable. AuthCache already fronts the one existing backing cache, so a separate TokenStore is a second layer over the same storage unless it holds something the adapter can't. RequestPolicy sounds like a decision (\"is this request allowed under this tenant's policy\"), which is a pure function, not a class with state. Fewer units means fewer places a 3am bug can hide.\nStakes if we pick wrong: Keep everything and you maintain two token layers and a class that wraps a function. Fold too far and you jam minting and brokering into one object with mixed failure modes.\nRecommendation: B because it removes the two units with the weakest justification while keeping the real seams (broker vs. mint vs. cache). If TokenStore holds data the existing adapter does not (refresh tokens at rest, opaque session blobs), pick Other and say so; then A is right.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: this chooses class/module arrangement only. Both options keep the cache contract at PLAN.md:7-13 unchanged and leave the shared-singleton fix, validateAndDispatch cleanup, Promise.all, and regression tests pending for their own decisions.",
|
|
"header": "Structure",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Fold TokenStore + RequestPolicy (recommended)",
|
|
"description": "\u2705 3 new classes (AuthBroker, SessionMint, AuthCache) + requestPolicy.ts as pure functions; ~8-9 files (human: ~1 day less / CC: ~10 min less)\n\u2705 One token layer over the existing adapter; policy logic testable as pure input\u2192output\n\u274c If TokenStore was meant to hold non-cache state, that need resurfaces later as a new class"
|
|
},
|
|
{
|
|
"label": "Keep original five units",
|
|
"description": "\u2705 Matches the plan as drafted; no re-scoping of TokenStore or RequestPolicy responsibilities\n\u2705 Safe if TokenStore genuinely stores something the adapter does not\n\u274c Two token-holding layers over one backing cache; 12 files and 5 units for a 3am on-call to learn"
|
|
},
|
|
{
|
|
"label": "Fold SessionMint into AuthBroker too",
|
|
"description": "\u2705 Smallest footprint: AuthBroker + AuthCache, ~6 files, 2 classes\n\u2705 One entry point for all auth decisions\n\u274c Minting and brokering have different failure modes (IDP down vs. policy denied); one class mixes them and grows fast"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D4 \u2014 Structure: keep all five new units, or fold two of them?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, Scope Challenge findings S1/S2 (PLAN.md:11-12, :19, :35-36).\nELI10: The plan adds five new units: AuthBroker, SessionMint, TokenStore, AuthCache, RequestPolicy, across 12 files. Two look foldable. AuthCache already fronts the one existing backing cache, so a separate TokenStore is a second layer over the same storage unless it holds something the adapter can't. RequestPolicy sounds like a decision (\"is this request allowed under this tenant's policy\"), which is a pure function, not a class with state. Fewer units means fewer places a 3am bug can hide.\nStakes if we pick wrong: Keep everything and you maintain two token layers and a class that wraps a function. Fold too far and you jam minting and brokering into one object with mixed failure modes.\nRecommendation: B because it removes the two units with the weakest justification while keeping the real seams (broker vs. mint vs. cache). If TokenStore holds data the existing adapter does not (refresh tokens at rest, opaque session blobs), pick Other and say so; then A is right.\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: this chooses class/module arrangement only. Both options keep the cache contract at PLAN.md:7-13 unchanged and leave the shared-singleton fix, validateAndDispatch cleanup, Promise.all, and regression tests pending for their own decisions.": "Fold TokenStore + RequestPolicy (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T12:33:39.362Z"
|
|
},
|
|
{
|
|
"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
|
|
"toolUseId": "toolu_01MQbujxXhSK3giNdDb6xX43",
|
|
"questions": [
|
|
{
|
|
"question": "D5 (R1) \u2014 How should AuthBroker and SessionMint get their AuthCache?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, finding A1 (PLAN.md:19-20).\nELI10: Right now both services grab one cache object that lives at the top of a module, like a global variable. Anyone who imports the module gets the same object and can change it. That makes tests leak state into each other and makes it impossible to run two isolated caches (per test, per region) without hacks. The fix is boring: build the one cache at startup and hand it to each service's constructor.\nStakes if we pick wrong: Flaky auth tests that pass alone and fail together; no way to swap a fake cache in integration tests; a future \"one cache per region\" requirement forces a rewrite of both services.\nRecommendation: A because it's the standard [Layer 1] fix, costs about the same as the singleton with CC, and is the difference between testable and untestable auth code.\nCompleteness: A=10/10, B=6/10, C=2/10\nNet: a constructor parameter now vs. monkey-patching forever. Still one backing cache in production either way; contract at PLAN.md:7-13 unchanged. R2 (write ordering) stays pending regardless.",
|
|
"header": "R1 cache DI",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Constructor injection (recommended)",
|
|
"description": "\u2705 One AuthCache built at the composition root and passed to both services; tests pass a fresh one (human: ~2h / CC: ~10min)\n\u2705 Enables per-test isolation and future per-region instances with zero service changes\n\u274c Composition root / wiring file must exist or be added; every call site constructing a service changes"
|
|
},
|
|
{
|
|
"label": "Keep export, add test reset hook",
|
|
"description": "\u2705 Smallest diff: singleton stays, add `__resetForTests()` to clear state between tests\n\u2705 No wiring changes at call sites\n\u274c Test-only API leaks into production code; still cannot run two isolated instances; hidden coupling remains"
|
|
},
|
|
{
|
|
"label": "Do nothing",
|
|
"description": "\u2705 Zero work, plan ships as written\n\u2705 Works fine as long as there is exactly one process and no test isolation is needed\n\u274c Every test shares mutable auth state; a production bug in one service can corrupt the other's view"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D5 (R1) \u2014 How should AuthBroker and SessionMint get their AuthCache?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, finding A1 (PLAN.md:19-20).\nELI10: Right now both services grab one cache object that lives at the top of a module, like a global variable. Anyone who imports the module gets the same object and can change it. That makes tests leak state into each other and makes it impossible to run two isolated caches (per test, per region) without hacks. The fix is boring: build the one cache at startup and hand it to each service's constructor.\nStakes if we pick wrong: Flaky auth tests that pass alone and fail together; no way to swap a fake cache in integration tests; a future \"one cache per region\" requirement forces a rewrite of both services.\nRecommendation: A because it's the standard [Layer 1] fix, costs about the same as the singleton with CC, and is the difference between testable and untestable auth code.\nCompleteness: A=10/10, B=6/10, C=2/10\nNet: a constructor parameter now vs. monkey-patching forever. Still one backing cache in production either way; contract at PLAN.md:7-13 unchanged. R2 (write ordering) stays pending regardless.": "Constructor injection (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T12:35:07.124Z"
|
|
},
|
|
{
|
|
"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
|
|
"toolUseId": "toolu_01RuM42bTnr5o5VmbjkeAqqX",
|
|
"questions": [
|
|
{
|
|
"question": "D6 (R2) \u2014 Guard against a mint completing after the tenant was revoked or suspended?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, finding A2 (PLAN.md:8-10).\nELI10: Minting a session takes a round trip to the identity provider. If an admin suspends the tenant (or a user logs out) during that round trip, the cache gets wiped for them, and then the mint finishes and writes a brand-new valid token back in. The suspended tenant keeps working until the token expires. Nobody sees an error. The plan says mutations are not serialized, so this can happen today as designed.\nStakes if we pick wrong: A revoked or suspended tenant retains access for up to a full token TTL, silently. For an auth system that is the worst kind of bug: no crash, no log line, wrong answer.\nRecommendation: A because it closes a silent security hole with a small, testable change inside the AuthCache facade (a per-tenant invalidation marker the write compares against) without touching the adapter's contract.\nCompleteness: A=10/10, B=5/10, C=2/10\nNet: a compare-before-write in one facade method vs. documenting that suspension is best-effort. Keeps R1 (injection) and the PLAN.md:7-13 contract fixed.",
|
|
"header": "R2 race",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Stale-write guard in AuthCache (recommended)",
|
|
"description": "\u2705 SessionMint reads the tenant's invalidation marker before the IDP call; AuthCache.set drops the write if the marker moved; unit test for the interleaving (human: ~1 day / CC: ~20min)\n\u2705 Adapter untouched; marker is facade state keyed by tenant, cleared with the existing invalidation hooks\n\u274c A dropped write means the user re-mints once; needs a metric so silent drops are visible"
|
|
},
|
|
{
|
|
"label": "Investigate adapter first",
|
|
"description": "\u2705 Bounded probe: does the existing adapter already expose a version or compare-and-set on write?\n\u2705 Avoids building a marker if the adapter already has one\n\u274c Decision stays open; the race remains in the plan until the probe reports back"
|
|
},
|
|
{
|
|
"label": "Accept race, document TTL bound",
|
|
"description": "\u2705 No new code; plan ships as written\n\u2705 Fine if token TTLs are seconds, not hours\n\u274c Suspended tenants retain access for up to one TTL with no signal; hard to explain in a security review"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D6 (R2) \u2014 Guard against a mint completing after the tenant was revoked or suspended?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, finding A2 (PLAN.md:8-10).\nELI10: Minting a session takes a round trip to the identity provider. If an admin suspends the tenant (or a user logs out) during that round trip, the cache gets wiped for them, and then the mint finishes and writes a brand-new valid token back in. The suspended tenant keeps working until the token expires. Nobody sees an error. The plan says mutations are not serialized, so this can happen today as designed.\nStakes if we pick wrong: A revoked or suspended tenant retains access for up to a full token TTL, silently. For an auth system that is the worst kind of bug: no crash, no log line, wrong answer.\nRecommendation: A because it closes a silent security hole with a small, testable change inside the AuthCache facade (a per-tenant invalidation marker the write compares against) without touching the adapter's contract.\nCompleteness: A=10/10, B=5/10, C=2/10\nNet: a compare-before-write in one facade method vs. documenting that suspension is best-effort. Keeps R1 (injection) and the PLAN.md:7-13 contract fixed.": "Stale-write guard in AuthCache (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T12:35:38.731Z"
|
|
},
|
|
{
|
|
"sessionId": "d7c58dab-1247-4669-9f5b-2665e78e7a58",
|
|
"toolUseId": "toolu_01VeqZfywTYXLgCsM4dh2qeH",
|
|
"questions": [
|
|
{
|
|
"question": "D7 (R3) \u2014 How does the legacyAuthFlow() rewrite reach production?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, finding A3 (PLAN.md:27-28, D3).\nELI10: You decided the rewrite ships in this change (D3). Now: does every tenant switch to the new path in one deploy, or does a per-tenant flag route traffic to the new path while the old one stays alive until you've watched it work? The flag version is the strangler pattern: new code grows around the old until the old can be cut out.\nStakes if we pick wrong: Hard cutover means an auth regression hits all tenants at once and the only rollback is a redeploy under pressure. A flag means one more code path to maintain for a few weeks and a deletion task you must actually do.\nRecommendation: A because this is authentication for every tenant; a per-tenant flag turns a 3am incident into a config flip, and the deletion follow-up is cheap with CC.\nCompleteness: A=10/10, B=5/10\nNet: a flag and a soak period vs. one deploy and a prayer. Regression tests (R6) are needed in both cases and stay pending.",
|
|
"header": "R3 rollout",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Per-tenant flag, strangler (recommended)",
|
|
"description": "\u2705 New path behind a per-tenant flag; legacy retained; ramp internal -> canary tenants -> 100%; delete legacy after soak (human: ~1 day / CC: ~30min plus soak time)\n\u2705 Rollback is a flag flip, no deploy; canary tenants surface parity gaps before everyone sees them\n\u274c Two live code paths during the ramp; a deletion follow-up that must be tracked or it rots"
|
|
},
|
|
{
|
|
"label": "Hard cutover",
|
|
"description": "\u2705 One code path from day one; nothing to delete later\n\u2705 Simplest diff and simplest mental model\n\u274c All tenants exposed simultaneously; rollback is a revert deploy during an auth outage"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D7 (R3) \u2014 How does the legacyAuthFlow() rewrite reach production?\nProject/branch/task: main; PLAN.md Multi-tenant Auth Refactor, finding A3 (PLAN.md:27-28, D3).\nELI10: You decided the rewrite ships in this change (D3). Now: does every tenant switch to the new path in one deploy, or does a per-tenant flag route traffic to the new path while the old one stays alive until you've watched it work? The flag version is the strangler pattern: new code grows around the old until the old can be cut out.\nStakes if we pick wrong: Hard cutover means an auth regression hits all tenants at once and the only rollback is a redeploy under pressure. A flag means one more code path to maintain for a few weeks and a deletion task you must actually do.\nRecommendation: A because this is authentication for every tenant; a per-tenant flag turns a 3am incident into a config flip, and the deletion follow-up is cheap with CC.\nCompleteness: A=10/10, B=5/10\nNet: a flag and a soak period vs. one deploy and a prayer. Regression tests (R6) are needed in both cases and stay pending.": "Per-tenant flag, strangler (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T12:36:12.350Z"
|
|
}
|
|
]
|
|
}
|