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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>
138 lines
21 KiB
JSON
138 lines
21 KiB
JSON
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"sourceHead": "9d66d6ca9ecf13d8a8209283e611d0fce652b6f4",
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"reportSha256": "51f4544a93d6f2052b8baf1358dea4451513d43c39115c0d05827acd0a6fe16a",
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"provenanceSha256": "6ad734edaac3af2bd7faa479b75b27310484ba95041fabb432b0d044ccaa44d8",
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"provenance": "Exact public successful Write and ExitPlanMode plan text; selected native answered questions. Compact report joins exact blocks under original section headings. No direct-file freshness or approval claim.",
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"calls": [
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"sessionId": "6bcd4c4d-8b17-44e5-807e-4adf4f7d9e31",
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"toolUseId": "toolu_015km1ErJykXyRY2NW6Jr1S4",
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"questions": [
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{
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"header": "Scope",
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"question": "D3 \u2014 Complexity check fired: 12 files, 4 new classes. Reduce to the two classes that carry the feature, or proceed as planned?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:34-36).\nELI10: The plan adds four classes, but only AuthBroker and SessionMint do anything the plan describes. AuthCache is a wrapper over a cache adapter that already keys by tenant, evicts, and invalidates (PLAN.md:7-13). TokenStore and RequestPolicy have no stated job anywhere in the plan. Every extra class is another place a tenant-isolation bug can hide and another file to test, and this touches auth, so blast radius is every tenant.\nStakes if we pick wrong: Too big and you ship two undefined classes that overlap the adapter; too small and you cut a class that had a real reason nobody wrote down.\nRecommendation: A because the plan cannot justify TokenStore or RequestPolicy in its own text, and the existing adapter already does what they imply. Matches your engineered-enough and right-sized-diff preferences.\nNote: options differ in kind, not coverage \u2014 no completeness score.",
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"options": [
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{
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"label": "A) Reduce: 2 classes (recommended)",
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"description": "Keep AuthBroker + SessionMint; inject the existing adapter directly; RequestPolicy becomes a plain type + pure function; drop TokenStore unless a gap is named. ~7-8 files. (human: saves ~2 days / CC: saves ~20 min) \u2705 Fewer moving parts around tenant isolation, each remaining piece has a stated job. \u2705 Existing adapter tests keep covering the cache path unchanged. \u274c If TokenStore had an undocumented purpose (e.g. refresh-token persistence) it must be re-argued later."
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},
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{
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"label": "B) Proceed as-is: 4 classes",
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"description": "Keep all four; the review will demand a one-line responsibility and a test file for each. (human: ~5 days / CC: ~40 min) \u2705 No re-planning; whatever design intent existed is preserved. \u2705 AuthCache facade can hide adapter API churn from the services. \u274c Two classes with no written responsibility, plus a facade duplicating the adapter, is the classic premature-abstraction smell you asked me to flag."
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},
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{
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"label": "C) Middle: 3 classes",
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"description": "Keep AuthBroker, SessionMint, and AuthCache as an injected facade; fold TokenStore and RequestPolicy into functions. ~9 files. (human: ~3.5 days / CC: ~30 min) \u2705 Services get one narrow cache surface instead of the whole adapter API. \u2705 Still removes the two undefined classes. \u274c A facade over one backing cache with unchanged rules is mostly pass-through code to maintain."
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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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"D3 \u2014 Complexity check fired: 12 files, 4 new classes. Reduce to the two classes that carry the feature, or proceed as planned?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:34-36).\nELI10: The plan adds four classes, but only AuthBroker and SessionMint do anything the plan describes. AuthCache is a wrapper over a cache adapter that already keys by tenant, evicts, and invalidates (PLAN.md:7-13). TokenStore and RequestPolicy have no stated job anywhere in the plan. Every extra class is another place a tenant-isolation bug can hide and another file to test, and this touches auth, so blast radius is every tenant.\nStakes if we pick wrong: Too big and you ship two undefined classes that overlap the adapter; too small and you cut a class that had a real reason nobody wrote down.\nRecommendation: A because the plan cannot justify TokenStore or RequestPolicy in its own text, and the existing adapter already does what they imply. Matches your engineered-enough and right-sized-diff preferences.\nNote: options differ in kind, not coverage \u2014 no completeness score.": "A) Reduce: 2 classes (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T10:51:39.964Z"
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},
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{
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"sessionId": "6bcd4c4d-8b17-44e5-807e-4adf4f7d9e31",
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"toolUseId": "toolu_01YRgsQDio1oQVDds1cNWBH8",
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"questions": [
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{
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"header": "Cache owner",
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"question": "D4 \u2014 Issue 1: two services mutate one shared cache with no serialized writes. How should cache ownership work?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:10, 19-20).\nELI10: AuthBroker and SessionMint both write into the same tenant-keyed cache, and the plan says nothing orders those writes. Realistic production failure: a tenant gets suspended, the invalidation hook clears its entries, and a SessionMint write that started a few milliseconds earlier lands after the clear. That suspended tenant now has a live cached session until the TTL expires. Nobody sees an error; the cache just quietly re-admits them. A module-level global also means every test shares state and you cannot construct a service with a fake cache.\nStakes if we pick wrong: Silent re-admission of a suspended or revoked tenant, plus test suites that pass or fail depending on run order.\nRecommendation: A because one writer plus a version check turns a silent race into an explicit, testable rule, and injection is the standard fix for module-level mutable state [Layer 1]. Maps to explicit over clever.\nCompleteness: A=10/10, B=7/10, C=3/10",
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"options": [
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{
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"label": "A) Inject + single writer + invalidation epoch (recommended)",
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"description": "Constructor-inject the existing adapter into both services. Only AuthBroker writes; SessionMint returns minted material to the broker, which stores it. Adapter set() takes the per-tenant invalidation epoch it read from, and drops the write if the epoch moved. Tests: write-after-invalidate race, cross-tenant key isolation, both services with a fake adapter. (human: ~1.5 days / CC: ~15 min) \u2705 Suspension and revocation win every race by construction, not by luck. \u2705 Every test builds its own cache; no shared global to reset. \u274c SessionMint gains a return-value contract instead of writing directly; slightly more plumbing."
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},
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{
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"label": "B) Inject only, keep two writers",
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"description": "Replace the module-level export with constructor injection but let both services keep writing. Tests: isolation and fake-adapter construction; no race test. (human: ~0.5 day / CC: ~5 min) \u2705 Removes the global and makes both services unit-testable in isolation. \u2705 Smallest diff from the current plan wording. \u274c The write-after-invalidate race stays open; suspension can still be undone by a late mint write."
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},
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{
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"label": "C) Keep module-level global as planned",
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"description": "Do nothing here; both services import and mutate the singleton. (human: 0 / CC: 0) \u2705 No plan change and no new contract between the two services. \u2705 Module cache already guarantees one instance, so no double-init bug. \u274c Race stays open and tests share mutable state across the whole suite."
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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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"D4 \u2014 Issue 1: two services mutate one shared cache with no serialized writes. How should cache ownership work?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:10, 19-20).\nELI10: AuthBroker and SessionMint both write into the same tenant-keyed cache, and the plan says nothing orders those writes. Realistic production failure: a tenant gets suspended, the invalidation hook clears its entries, and a SessionMint write that started a few milliseconds earlier lands after the clear. That suspended tenant now has a live cached session until the TTL expires. Nobody sees an error; the cache just quietly re-admits them. A module-level global also means every test shares state and you cannot construct a service with a fake cache.\nStakes if we pick wrong: Silent re-admission of a suspended or revoked tenant, plus test suites that pass or fail depending on run order.\nRecommendation: A because one writer plus a version check turns a silent race into an explicit, testable rule, and injection is the standard fix for module-level mutable state [Layer 1]. Maps to explicit over clever.\nCompleteness: A=10/10, B=7/10, C=3/10": "A) Inject + single writer + invalidation epoch (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T10:52:40.165Z"
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},
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{
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"sessionId": "6bcd4c4d-8b17-44e5-807e-4adf4f7d9e31",
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"toolUseId": "toolu_019Kj471tp4y9YEJs9Lj89gg",
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"questions": [
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{
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"header": "Error flow",
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"question": "D6 \u2014 Issue 3: validateAndDispatch() nests three try/catch blocks that each swallow an error class. Restructure, or leave it?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:23-24).\nELI10: In an auth path, a swallowed error is a fail-open bug waiting to happen: if token validation throws and the catch eats it, the code after the try still runs and may dispatch the request as if validation passed. Three nested catches also mean a reader cannot tell which failure ends up where. The fix is a flat pipeline of small steps (parse, validate, resolve policy, dispatch) where each step returns a typed result, and one boundary at the top maps each error class to an explicit outcome: reject, retry, or rethrow. Nothing is silently dropped.\nStakes if we pick wrong: A validation error that is caught and ignored lets a bad token through with no log line to show it happened.\nRecommendation: A because explicit over clever, and each mapped error class becomes one test case instead of one hidden branch.\nCompleteness: A=10/10, B=6/10, C=2/10",
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"options": [
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{
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"label": "A) Flat pipeline + one typed error boundary (recommended)",
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"description": "Split into 4 pure-ish steps returning a discriminated Result; one top-level boundary maps each error class to reject/retry/rethrow and logs with tenant + error class; unknown errors rethrow (fail closed). Tests: one per error class per step, unknown-error-rethrows, and success. Add an ASCII pipeline diagram in the service file header. (human: ~1 day / CC: ~10 min) \u2705 No path where a validation failure reaches dispatch. \u2705 Each catch becomes a named, individually tested branch. \u274c Larger diff than a patch; touches every caller expecting thrown errors."
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},
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{
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"label": "B) Keep structure, stop swallowing",
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"description": "Leave the 60-line shape; make each catch log and rethrow or return an explicit failure. Tests: each catch path. (human: ~2 h / CC: ~3 min) \u2705 Small, mechanical change with immediate safety gain. \u2705 No caller contract change. \u274c Three nested catches remain unreadable; the next edit re-introduces a swallow."
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},
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{
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"label": "C) Leave as-is",
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"description": "No change; accept the current function. (human: 0 / CC: 0) \u2705 Zero risk of churn in code that currently works in production. \u2705 Nothing to re-test now. \u274c Fail-open on swallowed validation errors stays possible and untested."
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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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"D6 \u2014 Issue 3: validateAndDispatch() nests three try/catch blocks that each swallow an error class. Restructure, or leave it?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:23-24).\nELI10: In an auth path, a swallowed error is a fail-open bug waiting to happen: if token validation throws and the catch eats it, the code after the try still runs and may dispatch the request as if validation passed. Three nested catches also mean a reader cannot tell which failure ends up where. The fix is a flat pipeline of small steps (parse, validate, resolve policy, dispatch) where each step returns a typed result, and one boundary at the top maps each error class to an explicit outcome: reject, retry, or rethrow. Nothing is silently dropped.\nStakes if we pick wrong: A validation error that is caught and ignored lets a bad token through with no log line to show it happened.\nRecommendation: A because explicit over clever, and each mapped error class becomes one test case instead of one hidden branch.\nCompleteness: A=10/10, B=6/10, C=2/10": "A) Flat pipeline + one typed error boundary (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T10:53:18.285Z"
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},
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{
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"sessionId": "6bcd4c4d-8b17-44e5-807e-4adf4f7d9e31",
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"toolUseId": "toolu_01WPFDUDUejnksq6iFYYvYQt",
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"questions": [
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{
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"header": "IDP calls",
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"question": "D8 \u2014 Issue 5: five sequential IDP calls become Promise.all. Which failure semantics ship with it?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:31-32).\nELI10: Running the five independent IDP calls at once cuts login latency to roughly the slowest single call instead of the sum. But Promise.all alone has two sharp edges in an auth path: if one call hangs, the whole login hangs forever with no timeout, and when one call rejects the other four keep running against the IDP with nobody listening. The complete version adds a shared timeout and abort signal so a hung call fails closed quickly and the others are cancelled, and it explicitly rejects Promise.allSettled because partial validation data must never count as validated.\nStakes if we pick wrong: Either logins hang until the load balancer gives up, or a partial-result branch quietly treats four out of five checks as good enough.\nRecommendation: A because fail-fast and fail-closed is the only correct posture for token validation [Layer 1], and a timeout is what makes it safe at 3am.\nCompleteness: A=10/10, B=6/10",
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"options": [
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{
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"label": "A) Promise.all + shared AbortSignal timeout, fail closed (recommended)",
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"description": "One AbortController per validation; timeout from config; any reject or abort -> typed validation failure through the D6 boundary; no Promise.allSettled. Tests: all resolve, one rejects, one hangs past timeout, abort propagates to remaining calls. (human: ~0.5 day / CC: ~5 min) \u2705 Latency drops to max(call) with a hard upper bound. \u2705 A hung IDP endpoint fails the login in seconds, not minutes, and the D6 boundary logs which call died. \u274c Abort plumbing must be threaded into the IDP client."
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},
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{
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"label": "B) Bare Promise.all as written",
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"description": "Wrap the five calls in Promise.all, no timeout, no abort. Tests: all resolve, one rejects. (human: ~1 h / CC: ~2 min) \u2705 Same latency win on the happy path. \u2705 Smallest possible change. \u274c A single hung call hangs every login; sibling calls keep hitting the IDP after the first failure."
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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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"D8 \u2014 Issue 5: five sequential IDP calls become Promise.all. Which failure semantics ship with it?\nProject/branch/task: gstack-plan-count-vtSmzJ on main, Multi-tenant Auth Refactor (PLAN.md:31-32).\nELI10: Running the five independent IDP calls at once cuts login latency to roughly the slowest single call instead of the sum. But Promise.all alone has two sharp edges in an auth path: if one call hangs, the whole login hangs forever with no timeout, and when one call rejects the other four keep running against the IDP with nobody listening. The complete version adds a shared timeout and abort signal so a hung call fails closed quickly and the others are cancelled, and it explicitly rejects Promise.allSettled because partial validation data must never count as validated.\nStakes if we pick wrong: Either logins hang until the load balancer gives up, or a partial-result branch quietly treats four out of five checks as good enough.\nRecommendation: A because fail-fast and fail-closed is the only correct posture for token validation [Layer 1], and a timeout is what makes it safe at 3am.\nCompleteness: A=10/10, B=6/10": "A) Promise.all + shared AbortSignal timeout, fail closed (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T10:54:16.506Z"
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}
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],
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"ordering": "2. **Golden regression tests for legacyAuthFlow (T3)** \u2014 pin current outputs\n per input class before any other code moves. CRITICAL, lands first.\n",
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"declaration": "- **CRITICAL \u2014 `auth/legacyAuthFlow.regression.test.ts` (T3, REGRESSION RULE, no approval needed):**\n golden tests for valid token, expired, wrong tenant, wrong audience,\n revoked, malformed. What broke: PLAN.md:27-28 rewrites the live auth path\n with no regression test; PLAN.md:15-16 says new coverage does not assert\n compatibility. These tests are the parity oracle for the D5 flag-off path.\n",
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"task": "- [ ] **T3 (P1, human: ~1 day / CC: ~10 min)** \u2014 auth/legacyAuthFlow tests \u2014 CRITICAL golden regression tests, land first\n - Surfaced by: Test review REGRESSION RULE \u2014 PLAN.md:27-28, PLAN.md:15-16\n - Files: auth/legacyAuthFlow.regression.test.ts\n - Verify: six input classes pinned; suite green against unmodified legacy code before any refactor commit\n",
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"reviewReport": "## GSTACK REVIEW REPORT\n\n| Review | Trigger | Why | Runs | Status | Findings |\n|--------|---------|-----|------|--------|----------|\n| CEO Review | `/plan-ceo-review` | Scope & strategy | 0 | \u2014 | \u2014 |\n| Outside Review | codex via `/plan-eng-review` (plan-review phase) | Independent 2nd opinion | 1 | disabled | none (skipped by config, no outside coverage) |\n| Eng Review | `/plan-eng-review` | Architecture & tests (required) | 1 | clean (SCOPE_REDUCED) | 31 issues (5 findings + 27 test gaps, all folded), 0 critical gaps |\n| Design Review | `/plan-design-review` | UI/UX gaps | 0 | \u2014 | \u2014 |\n| DX Review | `/plan-devex-review` | Developer experience gaps | 0 | \u2014 | \u2014 |\n\n- **OUTSIDE COVERAGE:** provider codex, phase plan-review, host claude, outside_status disabled (codex_reviews=disabled). No outside findings; no native fallback dispatched because disabled is an intentional opt-out. Re-enable with `gstack-config set codex_reviews enabled`.\n- **VERDICT:** ENG CLEARED \u2014 ready to implement.\n\nNO UNRESOLVED DECISIONS\n",
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"compact": "## Implementation steps\n\n2. **Golden regression tests for legacyAuthFlow (T3)** \u2014 pin current outputs\n per input class before any other code moves. CRITICAL, lands first.\n\n### Test requirements\n\n- **CRITICAL \u2014 `auth/legacyAuthFlow.regression.test.ts` (T3, REGRESSION RULE, no approval needed):**\n golden tests for valid token, expired, wrong tenant, wrong audience,\n revoked, malformed. What broke: PLAN.md:27-28 rewrites the live auth path\n with no regression test; PLAN.md:15-16 says new coverage does not assert\n compatibility. These tests are the parity oracle for the D5 flag-off path.\n\n## Implementation Tasks\n\n- [ ] **T3 (P1, human: ~1 day / CC: ~10 min)** \u2014 auth/legacyAuthFlow tests \u2014 CRITICAL golden regression tests, land first\n - Surfaced by: Test review REGRESSION RULE \u2014 PLAN.md:27-28, PLAN.md:15-16\n - Files: auth/legacyAuthFlow.regression.test.ts\n - Verify: six input classes pinned; suite green against unmodified legacy code before any refactor commit\n\n## GSTACK REVIEW REPORT\n\n| Review | Trigger | Why | Runs | Status | Findings |\n|--------|---------|-----|------|--------|----------|\n| CEO Review | `/plan-ceo-review` | Scope & strategy | 0 | \u2014 | \u2014 |\n| Outside Review | codex via `/plan-eng-review` (plan-review phase) | Independent 2nd opinion | 1 | disabled | none (skipped by config, no outside coverage) |\n| Eng Review | `/plan-eng-review` | Architecture & tests (required) | 1 | clean (SCOPE_REDUCED) | 31 issues (5 findings + 27 test gaps, all folded), 0 critical gaps |\n| Design Review | `/plan-design-review` | UI/UX gaps | 0 | \u2014 | \u2014 |\n| DX Review | `/plan-devex-review` | Developer experience gaps | 0 | \u2014 | \u2014 |\n\n- **OUTSIDE COVERAGE:** provider codex, phase plan-review, host claude, outside_status disabled (codex_reviews=disabled). No outside findings; no native fallback dispatched because disabled is an intentional opt-out. Re-enable with `gstack-config set codex_reviews enabled`.\n- **VERDICT:** ENG CLEARED \u2014 ready to implement.\n\nNO UNRESOLVED DECISIONS\n"
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