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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>
132 lines
14 KiB
JSON
132 lines
14 KiB
JSON
{
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"sourceHead": "8d8537e5d341cc9f3d186822f06efb245ec7b8fd",
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"observedOutcome": "no_review_questions",
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"observedReviewCount": 0,
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"calls": [
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{
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"sessionId": "5311fa3e-a775-4865-840f-d11a8e890a23",
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"toolUseId": "toolu_01NHQXhqHqGcPXE6LpoFSqDi",
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"questions": [
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{
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"question": "gstack works best when your project's CLAUDE.md includes skill routing rules. Add them? (Note: plan mode is active, so the CLAUDE.md edit and commit would happen after this review exits 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 to CLAUDE.md (recommended)",
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"description": "Appends a '## Skill routing' section mapping request types to gstack skills, then commits it. One-time per project."
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},
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{
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"label": "No thanks, I'll invoke skills manually",
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"description": "Sets routing_declined=true in gstack config. Re-enable later via gstack-config set routing_declined false."
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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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"gstack works best when your project's CLAUDE.md includes skill routing rules. Add them? (Note: plan mode is active, so the CLAUDE.md edit and commit would happen after this review exits plan mode.)": "Add routing rules to CLAUDE.md (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T01:48:03.927Z"
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},
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{
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"sessionId": "5311fa3e-a775-4865-840f-d11a8e890a23",
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"toolUseId": "toolu_011uiqpgBypMdzfSv8sRdqtz",
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"questions": [
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{
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"question": "D1 \u2014 How should the two new processPayment tests be structured?\nProject/branch/task: main branch, adding two unit tests to the existing processPayment suite.\nELI10: We are adding two tests that pin down what processPayment already does. The only structural choice is where the tests live and whether we build any shared scaffolding for them. All options reuse the existing factory, Stripe mock and virtual sleeper; none touch production code. Assertion strength is reviewed separately in later sections, one finding at a time.\nStakes if we pick wrong: over-building scaffolding for two tests adds maintenance with no coverage gain; under-building is not a risk here since the factory already exists.\nRecommendation: A because it is the smallest diff that cleanly expresses the change and reuses the suite's existing setup (right-sized diff, DRY).\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: two inline tests versus premature shared fixtures for a two-test change.",
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"header": "Approach",
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"multiSelect": false,
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"options": [
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{
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"label": "A) Two inline tests in existing suite (recommended)",
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"description": "Add two `it` blocks to the current processPayment suite, each arranging the Stripe mock via the existing factory. Effort: S (human ~1h / CC ~5min). Risk: Low. Reuses factory, mock, sleeper as-is. \u2705 Smallest diff, sits beside related tests, zero new abstractions. \u2705 Implementer needs no new helpers or files. \u274c Expected contract values are literals in the test rather than shared constants."
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},
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{
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"label": "B) Shared contract fixture + two tests",
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"description": "Extract a `chargeContract` fixture (expected receipt, expected attempts, expected backoff) reused by the processPayment suite and the Stripe adapter suite, then write the two tests against it. Effort: M (human ~3h / CC ~15min). Risk: Low-Med. \u2705 Contract values live once across suites. \u2705 Future contract tests slot in. \u274c Premature abstraction for two tests; touches the adapter suite the plan says stays as-is."
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},
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{
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"label": "C) New dedicated contract spec file",
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"description": "Create a separate processPayment.contract spec file with its own setup for the two tests. Effort: S-M (human ~2h / CC ~10min). Risk: Low. \u2705 Isolates contract tests from behavior tests. \u2705 Clear place for future contract cases. \u274c Duplicates the suite's factory setup and splits processPayment coverage across two files."
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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 How should the two new processPayment tests be structured?\nProject/branch/task: main branch, adding two unit tests to the existing processPayment suite.\nELI10: We are adding two tests that pin down what processPayment already does. The only structural choice is where the tests live and whether we build any shared scaffolding for them. All options reuse the existing factory, Stripe mock and virtual sleeper; none touch production code. Assertion strength is reviewed separately in later sections, one finding at a time.\nStakes if we pick wrong: over-building scaffolding for two tests adds maintenance with no coverage gain; under-building is not a risk here since the factory already exists.\nRecommendation: A because it is the smallest diff that cleanly expresses the change and reuses the suite's existing setup (right-sized diff, DRY).\nNote: options differ in kind, not coverage \u2014 no completeness score.\nNet: two inline tests versus premature shared fixtures for a two-test change.": "A) Two inline tests in existing suite (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T01:51:02.100Z"
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},
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{
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"sessionId": "5311fa3e-a775-4865-840f-d11a8e890a23",
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"toolUseId": "toolu_01M1ghsiVvKqEPyoBgXq7fhK",
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"questions": [
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{
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"question": "D2 \u2014 Issue 1: test 2 (repeated 502) cannot detect retry or backoff regressions\nProject/branch/task: main branch, processPayment unit coverage, the repeated-502 test.\nELI10: The contract says: on two 502s, processPayment tries Stripe exactly twice, waits one recorded 100 ms between tries, then fails with PaymentUnavailable. The planned test only checks the final failure. A change that retries zero times, retries five times, or sleeps for 5 seconds still fails with PaymentUnavailable, so the test stays green while the contract is broken. The factory already exposes the mock call history and the sleeper record, so the missing checks are cheap.\nStakes if we pick wrong: a retry-budget or backoff regression on the payment path ships undetected; users see slower or double-charged-looking failures and the test suite says nothing.\nRecommendation: 1A because the plan states an exact count and an exact delay, and a test that cannot reject a wrong count is not coverage of that contract (well-tested code is non-negotiable; explicit over clever).\nCompleteness: A=10/10, B=6/10, C=3/10\nNet: pin the whole stated contract now for a few extra lines, or keep a test that only proves the error class.",
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"header": "Issue 1",
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"multiSelect": false,
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"options": [
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{
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"label": "1A) Assert error, exact 2 attempts, sleeper record [100] (recommended)",
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"description": "Arrange two 502s with the mock configured to fail loudly on any third call; assert rejection is PaymentUnavailable; assert Stripe mock call history length is exactly 2; assert the virtual sleeper record is exactly one entry of 100 ms. Failure output names which of the three broke. Effort: human ~20min / CC ~2min. \u2705 Rejects zero-retry, over-retry and wrong-backoff regressions. \u2705 Uses only existing factory probes; no new helpers. \u274c A deliberate future change to the retry budget must update this test too."
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},
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{
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"label": "1B) Assert error and exact 2 attempts only",
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"description": "Add the call-history length check but leave the backoff delay unasserted. Effort: human ~10min / CC ~1min. \u2705 Catches retry-count regressions. \u2705 Slightly smaller test. \u274c A regression to 0 ms or 5000 ms backoff still passes; the stated 100 ms contract stays unguarded."
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},
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{
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"label": "1C) Keep as planned: error class only",
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"description": "Assert only that processPayment rejects with PaymentUnavailable. Effort: none. \u2705 Smallest possible test. \u2705 Still proves the terminal error class. \u274c Any retry or backoff regression passes; the plan's own stated contract for attempts and backoff has no coverage."
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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 Issue 1: test 2 (repeated 502) cannot detect retry or backoff regressions\nProject/branch/task: main branch, processPayment unit coverage, the repeated-502 test.\nELI10: The contract says: on two 502s, processPayment tries Stripe exactly twice, waits one recorded 100 ms between tries, then fails with PaymentUnavailable. The planned test only checks the final failure. A change that retries zero times, retries five times, or sleeps for 5 seconds still fails with PaymentUnavailable, so the test stays green while the contract is broken. The factory already exposes the mock call history and the sleeper record, so the missing checks are cheap.\nStakes if we pick wrong: a retry-budget or backoff regression on the payment path ships undetected; users see slower or double-charged-looking failures and the test suite says nothing.\nRecommendation: 1A because the plan states an exact count and an exact delay, and a test that cannot reject a wrong count is not coverage of that contract (well-tested code is non-negotiable; explicit over clever).\nCompleteness: A=10/10, B=6/10, C=3/10\nNet: pin the whole stated contract now for a few extra lines, or keep a test that only proves the error class.": "1A) Assert error, exact 2 attempts, sleeper record [100] (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T01:51:45.799Z"
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},
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{
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"sessionId": "5311fa3e-a775-4865-840f-d11a8e890a23",
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"toolUseId": "toolu_01PAebxxghdR9Thch3JtW4bu",
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"questions": [
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{
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"question": "D3 \u2014 Issue 2: test 1 (successful charge) accepts any truthy value as a correct receipt\nProject/branch/task: main branch, processPayment unit coverage, the successful-charge test.\nELI10: The contract says a 1000-cent USD charge with Stripe id ch_paid returns exactly { chargeId: \"ch_paid\", amountCents: 1000, currency: \"USD\" }. The planned test only checks that the result is truthy. An empty object, a receipt with chargeId undefined, amountCents 10.00, or currency \"usd\" all pass. The test would be green while every field in the stated contract is wrong.\nStakes if we pick wrong: a receipt-shape regression (wrong id, wrong amount, wrong currency) reaches customers and downstream accounting while the suite reports success.\nRecommendation: 2A because the plan already states the exact expected receipt, and a deep-equality assertion is the direct translation of that contract (well-tested code is non-negotiable; explicit over clever).\nCompleteness: A=10/10, B=7/10, C=2/10\nNet: one deep-equality line that pins the whole receipt, versus a smoke check that proves almost nothing.",
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"header": "Issue 2",
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"multiSelect": false,
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"options": [
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{
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"label": "2A) Deep-equal the full receipt (recommended)",
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"description": "Assert the returned receipt deep-equals { chargeId: \"ch_paid\", amountCents: 1000, currency: \"USD\" }. Rejects missing, extra, or wrong-typed fields and prints a field-level diff on failure. Effort: human ~10min / CC ~1min. \u2705 Every stated field and type is pinned in one assertion. \u2705 Extra unexpected fields are caught too. \u274c Adding a field to the receipt later requires updating this expectation."
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},
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{
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"label": "2B) Assert the three fields individually",
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"description": "Assert chargeId, amountCents and currency each equal the expected value; ignore any other fields. Effort: human ~10min / CC ~1min. \u2705 Pins all three stated values. \u2705 Tolerates additive receipt fields without test changes. \u274c An unexpected extra or renamed field on the receipt passes silently."
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},
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{
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"label": "2C) Keep as planned: truthy only",
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"description": "Assert only that the receipt is truthy. Effort: none. \u2705 Smallest possible test. \u2705 Proves the call resolves. \u274c Any wrong chargeId, amount, or currency passes; the plan's stated receipt contract has no coverage."
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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 Issue 2: test 1 (successful charge) accepts any truthy value as a correct receipt\nProject/branch/task: main branch, processPayment unit coverage, the successful-charge test.\nELI10: The contract says a 1000-cent USD charge with Stripe id ch_paid returns exactly { chargeId: \"ch_paid\", amountCents: 1000, currency: \"USD\" }. The planned test only checks that the result is truthy. An empty object, a receipt with chargeId undefined, amountCents 10.00, or currency \"usd\" all pass. The test would be green while every field in the stated contract is wrong.\nStakes if we pick wrong: a receipt-shape regression (wrong id, wrong amount, wrong currency) reaches customers and downstream accounting while the suite reports success.\nRecommendation: 2A because the plan already states the exact expected receipt, and a deep-equality assertion is the direct translation of that contract (well-tested code is non-negotiable; explicit over clever).\nCompleteness: A=10/10, B=7/10, C=2/10\nNet: one deep-equality line that pins the whole receipt, versus a smoke check that proves almost nothing.": "2A) Deep-equal the full receipt (recommended)"
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},
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"unansweredQuestionIndices": [],
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"answeredAt": "2026-09-10T01:52:17.451Z"
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}
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]
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}
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