Code Review

Code Review

Planner Entry

Run this local review only when the user explicitly asks or an actionable PR/CI finding requires it. Do not use it automatically before opening a PR: the two configured PR AI reviewers are the semantic-review gate.

Review the current changes in the codebase (Go backend + Vite/React SPA monorepo). Every finding needs a file_path:line_number reference, an explanation of why it matters, and a concrete fix.

Start from intent and evidence: read the spec/task first when available, then changed tests before production code. Tests reveal the expected behavior and whether the change is actually verified.

Architecture discussion gate

For a large architectural change, verify the authenticated actor's repository permission before the PR opens. Maintainers and collaborators with push, maintain, or admin permission may proceed without a linked issue. For an actor without write access, require a linked issue with maintainer discussion; if the issue or discussion is missing, report a blocker. Prefer one logical change and a small diff because this limits risk and maintainer burden.

Available skills

• /tdd — Recommend when flagging untested logic. The author can use this to add tests.
• /mobile-parity — Required when a review touches frontend or user-facing UI, including scrolling, visibility, or activation behavior, even when the change is not described as responsive.

Steps

1. Identify changed files and check scope

Determine the right diff scope:

• Local changes: git diff --name-only (unstaged) and git diff --cached --name-only (staged)
• PR review: git diff origin/<base_branch>...HEAD --name-only to diff against the base branch

For an existing PR, first confirm the exact head under review. Do not assume the local checkout is current: inspect the PR's base branch and head SHA, fetch the head if needed, and use that immutable SHA in the diff. If the current PR head cannot be fetched, say so rather than reporting a stale checkout as a review of the current PR.

A Kandev task worktree may hold none of the work: a clean checkout can be an old base while the reviewable code lives on the PR's branch, and prior-session claims that local changes exist may be stale. Before reporting “no changes”, confirm that git log "$(git merge-base <base-remote>/<base-ref> HEAD)"..HEAD is non-empty. If it is empty, resolve the PR branch with gh pr view <N> --json headRefName,headRefOid, fetch that ref, and review its immutable head, stating why it is not the local branch.

Record the base and head SHA for each review round. A new contributor push starts a new round: reassess prior findings and the verdict against the new head, and verify checks or workflow results for that head rather than relying on a PR number or author summary. From scripts/pr-state --summary, also record pr.base_ref_name, pr.base_head_oid, pr.merge_base_oid, and pr.base_advanced_since_head when available.

For a follow-up round, inspect <previous-reviewed-head>..<current-head> first, then re-evaluate <base>...<current-head> for complete PR coverage. Record both immutable heads. The first range does not isolate the author's response when the branch merged or rebased onto an advanced base: it also carries every upstream commit that arrived with it. Use `rtk proxy git log --oneline --first-parent

..to list the branch's own commits, thenrtk proxy git show --stat per commit to size the response. When history shape decides review scope, usertk proxy git log` because the normal RTK wrapper can omit merge commits and truncate subjects.

When pr.base_advanced_since_head is true, validate the actual merge result before declaring the PR ready. Record the latest base and immutable head SHAs, create a temporary worktree from that base, merge the head with git merge --no-commit --no-ff <head-sha>, and run focused verification in the merged tree before removing the worktree. GitHub's mergeable: MERGEABLE status proves conflict compatibility, not that the merged result was tested. If an older pr-state helper lacks the base fields, resolve the current base head only as a fallback with gh api repos/{owner}/{repo}/git/ref/heads/{base} and derive/record the merge base before making the same decision; do not try the unsupported gh pr view --json baseRefOid field.

For an existing GitHub PR, inspect both scripts/pr-state --summary <PR> and scripts/pr-resolve list <PR> before treating review feedback as clean. Read the body of any exact-current-head review as well as inline threads: bots can place actionable findings outside the diff. A review's commit_id is the current-head signal; timestamps are only collection order. If pr-state reports hidden unresolved threads, use pr-resolve list to inspect them rather than assuming the filtered list is complete.

Compare the PR description, checklist, and claimed manual validation with that exact head, especially after a major refactor. Treat unchecked static template boxes preserved by /pr as intentional; flag only prose or checklist claims factually contradicted by the exact-head diff or evidence. Report stale claims separately; they are not verification evidence for the current diff.

Read each changed file in full — understand surrounding code, not just the diff. Navigate callers, interfaces, and tests to understand changes end-to-end.

To read files at an immutable head that is not checked out, create a detached worktree so file and line anchors remain accurate:

git worktree add --detach /tmp/review-<pr> <head-sha>
# inspect the files in /tmp/review-<pr>
git worktree remove --force /tmp/review-<pr>

For each file, identify which requirement or intent it serves. Flag any changes that don't map to the task — scope creep is a blocker.

2. Review tests and verification first

Before reviewing implementation details:

• Read changed tests and nearby existing tests.
• Check whether tests assert behavior, not implementation details.
• Check whether the selected test level is appropriate: unit for pure logic, integration for boundaries, E2E for critical browser flows.
• Identify missing coverage for happy path, key error paths, edge cases, auth/workspace boundaries, and concurrency/order-sensitive behavior.
• When a contract spans dispatchers, explicit service/API launches, approval/UI flows, or background handlers, enumerate every user-reachable entry point, trace each to the operation, and require path-specific regression coverage before declaring review clean.
• When a PR changes the semantics of a field, flag, enum, event, or API contract, grep all producers and consumers for comments, logs, names, and tests that describe the old meaning. Those unchanged descriptions are in scope because the PR makes them false; anchor the finding to the changed contract use and list affected downstream sites.
• For concurrent or event-driven changes, require a deterministic schedule that checks ownership or generation identity, stale-event handling, cancellation, and lock scope. Channel/barrier coordination is preferable to timing sleeps.
• For stale-event races, cover both event-before-successor and delayed-old-event-after-successor orderings. Prefer integration coverage for cross-package event or callback paths when practical.
• When an HTTP mutation returns a full entity while WebSocket/event updates can update the same entity, ensure a delayed HTTP response cannot overwrite the newer event. Prefer a narrow mutation response or guard a full merge with an immutable revision/updated_at; cover it with a deferred-response test that applies the newer event first.
• For ordering guarantees across an event bus, trace producer, remote transport, and gateway/client delivery. Sequential publishes on separate subscriptions do not establish client order; require a unified stream or sequence-aware buffering, with a transport-boundary test and local-emulator coverage.
• For terminal event streams, block an earlier publication, enqueue a terminal event (for example delete or cancellation), then enqueue a stale update. Assert no later mutation reaches an upserting consumer; queues must tombstone the entity or discard pending work at the terminal boundary.
• When completion events lack a stable workload identity, test N outstanding registrations with N completion signals and duplicate delivery. A single-registration test cannot prove that uncorrelated completions retire work correctly. Compare this behavior with the accepted spec or ADR; a passing test that contradicts the contract is still a blocker.
• For durable one-shot metadata, inventory every producer, claim, restore, retry/redelivery, and startup-sweep path. If a token carries a structured descriptor, restore that exact claimed value rather than replacing it with a boolean marker; test a real producer and a claim-to-restore-to-reclaim round trip.
• Components can remain mounted while hidden or zero-sized. For visibility/activation behavior, ensure deadlines begin or reset at visible activation; mount the hidden state, advance fake timers or deliver content/layout changes, activate it, and assert final ownership with controlled observers or animation frames.
• Treat missing tests for new or changed non-UI logic as a blocker unless the change is explicitly untestable and says why.
• For forms that catch typed validation or provider errors, review feedback and cleanup as separate paths. Require focused coverage for every typed error family (or a table-driven equivalent) that asserts localized feedback is shown and the dialog/input remains open, plus a success assertion that it still closes; a finally block must not close a recoverable form unconditionally.

3. Review for issues

Check every changed file for the following layers. Skip layers that don't apply to the change.

Security (blockers if found):

• No secrets, tokens, or credentials in code
• When persisted configuration is copied into UI or session metadata, trace it through the applicable sanitizer/redaction boundary; storage-safe values are not automatically presentation-safe.
• Input validation at system boundaries (user input, API handlers, external data)
• No SQL injection, XSS, command injection, or path traversal risks
• Authentication and authorization checks in place for new endpoints
• No insecure crypto (MD5/SHA1 for passwords, weak random)
• Workspace and office boundaries are enforced; no cross-workspace data, credentials, logs, or agent context leakage
• Agent/tool execution is constrained by code, not prompt text alone

Architectural fit (highest priority):

• Changes belong in the correct layer/module and follow the dependency direction used by the codebase
• Business/domain logic is not placed in controllers, transport handlers, repositories, data sources, or infrastructure code
• Controllers handle protocol concerns, use cases orchestrate workflows, repositories define persistence needs, and data sources handle external systems
• Domain/application code does not depend on frameworks, transport models, database models, or vendor-specific types
• Changes do not bypass existing boundaries, duplicate responsibilities, or introduce unnecessary coupling between modules or domains
• New interfaces and abstractions have clear ownership and represent a meaningful boundary, rather than wrapping a single implementation
• Compare with neighbouring features and established patterns, but flag deviations only when they create a real architectural or maintainability problem
• Treat fundamental architectural misplacement or broken dependency direction as a blocker
• Frontend: no direct data fetching in components (must go through store), shadcn imports from @kandev/ui not @/components/ui/*
• Backend: provider pattern for DI, context passed through call chains, event bus for cross-component communication
• Search docs/specs/ and docs/decisions/ for the affected subsystem; flag an accepted spec or ADR that the change makes inaccurate
• New abstractions justified — no over-engineering
• Concerns cleanly separated (single responsibility)

Data & state modelling:

• Domain entities, value objects, DTOs, persistence models, and external API models remain separate where their responsibilities differ
• State transitions and invariants are explicit and cannot create invalid or partially updated state
• There is a single clear source of truth; state or business rules are not duplicated across layers
• Nullability, optional fields, defaults, and invalid combinations are modelled deliberately
• Persistence schemas or transport types are not leaking implementation details into domain/application contracts
• Persistence conformance tests call real production stores and assert a non-zero domain write/read-back; synthetic tables and no-op SQL are not semantic coverage. Startup tests trace errors through bootstrap and auth/middleware order, not readiness alone.
• Concurrency, retries, partial failures, and duplicate requests cannot corrupt state or apply transitions more than once
• Backward compatibility, migrations, and mixed-version behaviour are considered when contracts or persisted data change

Logic & correctness:

• Edge cases handled (empty input, nil/null, zero, max values)
• Error paths covered and not silently swallowed
• For marker-delimited full-document mutations, define missing, orphaned, duplicate, and malformed-marker behavior before writing. Cleanup must no-op or fail closed when the body is not owned, and tests must cover each ownership boundary without retrying an unowned document.
• Race conditions or concurrency issues in concurrent code
• Async events carry an immutable identity when they can outlive the operation that created them; stale events cannot mutate a replacement operation
• Locks protect only the atomic ownership boundary and are not held across unbounded I/O or a full asynchronous operation
• Synchronous callbacks cannot re-enter a lock they already need; moving publication asynchronous also requires an immutable value snapshot, clear shutdown ownership, and protection against a delayed event changing successor state
• When a generation, token, or lease authorizes a side effect, validate and mutate within one critical section. Check every terminal path separately: success, raw error, cancellation, timeout, and disconnect.
• Detached goroutines have immutable snapshots and a real happens-before relationship before reading state that can otherwise transition underneath them
• When a system design requires telemetry for an external or provider operation, audit every early return and require exactly one completion outcome per invocation. Outcomes should use allowlisted stable IDs, duration, response shape, and typed failure category, while excluding URLs, request/response bodies, credentials, and raw upstream errors; add observer/logger assertions for success and representative timeout and invalid-descriptor failures.

Performance:

• No N+1 queries (loop with individual DB calls)
• No memory leaks (unclosed connections, streams, listeners)
• Missing database indexes for new query patterns
• Algorithm complexity appropriate for the data scale

Complexity limits (CI also enforces these, but catch them early to avoid pushing and waiting):

• Go: functions ≤80 lines, ≤50 statements, cyclomatic ≤15, cognitive ≤30, nesting ≤5
• TS: files ≤600 lines, functions ≤100 lines, cyclomatic ≤15, cognitive ≤20, nesting ≤4
• If too large or complex, split into smaller cohesive files/functions

Code quality:

• No duplicated logic — extract shared helpers or constants
• No dead code, unused imports, or commented-out code
• Check for orphaned code: if the PR refactored or removed callers, grep for functions/types/exports that lost their last consumer
• No speculative code — unused flags/options, "reserved for future" scaffolding, one-off abstractions with a single call site, options parsed but never used
• Naming clear and consistent with project conventions
• Deep nesting (>3 levels) — use early returns

Build and platform boundaries:

• For changed Makefiles, shell scripts, or CI path filters, trace each changed target through the shell and platform branches. Distinguish executable naming from recipe-shell syntax; inspect OS, MSYSTEM, and SHELL assumptions.
• When simulating a Windows Make branch from POSIX, prefer scripts/check-make-shells. If a manual make -n is necessary, neutralize its parse-time probes as that checker does (NULL_REDIR= BUILD_TIME=simulated) so POSIX does not create NUL artifacts. Compare git status --short with the initial snapshot afterward.
• Use make -n <changed-target> for every affected platform branch that is available, and confirm CI invokes the changed target. Include docs or configuration paths when a validator or test reads them.

AI slop detection:

• Comments that restate code or narrate obvious steps
• Unnecessary try/catch that swallow errors or return silent defaults in trusted internal paths
• Redundant validation where inputs are already parsed/typed
• as any or as unknown as X casts used to dodge type errors instead of fixing types
• Defensive checks abnormal for the area of the codebase — compare with surrounding code patterns

Testing (blocker if missing):

• Backend (Go): new or changed functions/methods must have corresponding *_test.go tests
• Frontend: new utilities, hooks, API clients, and store slices must have focused tests. Pure React markup may skip a unit test, but behavior-bearing components (conditional status, accessibility, store-derived state, or responsive/mobile variants) need focused *.test.tsx coverage and/or E2E. Route responsive user-facing changes through /mobile-parity.
• For conditional UI driven by store-derived data, trace branch predicates through real callers and use production-shaped props. Include required identity props and seed the empty store/data state; do not simulate "no data" by omitting props that callers always pass.
• Async UI lifecycle: loading/busy state must clear through finally or equivalent terminal cleanup for success, error, cancellation, and early/no-op returns; require focused tests for those terminal paths.
• Exceptions: config files, generated code, and pure React component markup
• Missing tests for new or changed logic is a blocker — suggest what tests to add and recommend /tdd

4. Report

When the user says not to post or modify the PR, do not make any GitHub mutation: no fixes, comments, review submissions, or thread resolution. When the user asks for a review only, or when reviewing an external contributor's branch, do not edit the checkout or push code; report findings through the channel the user requested. Do not submit or resolve reviews unless explicitly asked.

Before a read-only review ends, compare git status --short with the initial snapshot. Remove only diagnostic artifacts demonstrably created during the review; preserve all pre-existing user changes.

Report findings with a concrete suggested fix. Do not edit the checkout during a review-only request; otherwise remediate in the same primary conversation.

Before drafting or sending an author-facing review finding through any channel, including a PR comment or message_task_kandev, map each point against exact-current-head review bodies, top-level discussion comments, and all unresolved or hidden threads. If a point is already raised, omit it from the author-facing delivery but retain it in the private review summary; repeat it only when the user explicitly asks for reinforcement. Re-fetch immediately before delivery and start a new review round if headRefOid changed. Name the exact reviewed SHA in the outgoing finding.

5. Output

Use this format:

Findings

Blocker (must fix before merge)

Security holes, data loss risk, broken logic, crashes, missing tests for new/changed logic

1. [Title] — file.go:42
   • Issue: what's wrong
   • Why: why it matters
   • Fix: concrete suggestion or code snippet

Suggestion (recommended, doesn't block)

Performance problems, poor error handling, architectural concerns

Summary

Verdict: Ready to merge / Ready with suggestions / Blocked — fix blockers first

Rules:

• Only report findings you're >=80% confident about — quality over quantity
• Don't mark style preferences as blockers — linters cover formatting
• Every criticism needs a suggested fix
• Say when uncertain and recommend a specific investigation instead of guessing
• Don't give feedback on code you didn't read
• Omit empty severity sections

Not a finding (skip these):

• Pre-existing issues on lines the change didn't modify
• Things linters, typecheckers, or CI already catch (imports, types, formatting) — exception: still report complexity-limit violations since they require code changes to fix