code-review-patterns（代码审查模式）

Code Review Patterns

Overview

Code reviews catch bugs before they ship. But reviewing code quality before functionality is backwards.

Core principle: First verify it works, THEN verify it's good.

Reference Files

Read only the references needed for the current review:

• references/review-order-and-checkpoints.md for concern-first reading order, review checkpoints, zero-finding halts, and re-review loops
• references/security-review-checklist.md for auth, input/output, secrets, network, storage, and dependency checks
• references/code-review-heuristics.md for maintainability, performance, hidden-failure, edge-case, sloppy-pattern, and UI quick scans

Signal Quality Rule

Flag ONLY when certain. False positives erode trust and waste remediation cycles.

Quick Review Checklist (Reference Pattern)

For rapid reviews, check these 8 items:

• Code is simple and readable
• Functions and variables are well-named
• No duplicated code
• Proper error handling
• No exposed secrets or API keys
• Input validation implemented
• Good test coverage
• Performance considerations addressed

The Iron Law

NO CODE QUALITY REVIEW BEFORE SPEC COMPLIANCE

If you haven't verified the code meets requirements, you cannot review code quality.

Two-Stage Review Process

Stage 1: Spec Compliance Review

Does it do what was asked?

1. Read the Requirements

- What was requested? - What are the acceptance criteria? - What are the edge cases?

1. Trace the Implementation

- Does the code implement each requirement? - Are all edge cases handled? - Does it match the spec exactly?

1. Test Functionality

- Run the tests - Manual test if needed - Verify outputs match expectations

Gate: Only proceed to Stage 2 if Stage 1 passes.

Stage 2: Code Quality Review

Is it well-written?

Review in priority order:

1. Security - Vulnerabilities that could be exploited
2. Correctness - Logic errors, edge cases missed
3. Performance - Unnecessary slowness
4. Maintainability - Hard to understand or modify
5. UX - User experience issues (if UI involved)
6. Accessibility - A11y issues (if UI involved)

Review Order

Before scanning code line-by-line, read references/review-order-and-checkpoints.md and reconstruct the change by concern, not by raw diff order.

Security Review

For auth, data, network, storage, or externally reachable code, read references/security-review-checklist.md before forming findings.

LSP-Powered Code Analysis

Use LSP for semantic understanding during reviews:

Review Workflow with LSP:

1. localSearchCode → find symbol + get lineHint
2. lspGotoDefinition(lineHint=N) → understand implementation
3. lspFindReferences(lineHint=N) → check all usages for consistency
4. lspCallHierarchy(incoming) → verify callers handle changes

CRITICAL: Always get lineHint from localSearchCode first. Never guess line numbers.

Review Heuristics

For performance, maintainability, edge cases, hidden failures, type-design drift, or UI-specific checks, read references/code-review-heuristics.md.

Wrong/Right — Silent optional chaining:

// WRONG: silently swallows null user
const name = user?.profile?.name ?? 'Unknown';

// RIGHT: log the gap, then degrade
const name = user?.profile?.name;
if (!name) {
  logger.warn('user profile missing name', { userId: user?.id });
}
return name ?? 'Unknown';

Edge Case Classification Taxonomy

Reference checklist for systematic edge case scanning during review:

Use during Stage 2 Quality Review. Check only categories relevant to the changed code.

Clarity Over Brevity

• Nested ternary a? b? c: d: e → Use if/else or switch
• Dense one-liner saving 2 lines → 3 clear lines over 1 clever line
• Chained .map().filter().reduce() with complex callbacks → Named intermediates

Pattern Recognition Criteria

During reviews, identify patterns worth documenting:

If you spot these during review:

1. Note the pattern in review feedback
2. Include in your Memory Notes (Patterns section) - router will persist to patterns.md via Memory Update task
3. Flag inconsistencies from established patterns

Severity Classification

Multi-Signal Review Methodology

Each Stage 2 pass produces an independent signal. Score each dimension separately.

HARD signals (any failure blocks approval):

• Security: One real vulnerability = dimension score 0
• Correctness: One logic error producing wrong output = dimension score 0

SOFT signals (concerns noted, don't block alone):

• Performance: Scaling concern without immediate impact
• Maintainability: Complex but functional code
• UX/A11y: Missing states but core flow works

Aggregation rule:

1. If ANY HARD signal = 0 → STATUS: CHANGES_REQUESTED (non-negotiable)
2. CONFIDENCE = min(HARD scores), reduced by max 10 if SOFT signals are low
3. Include per-signal breakdown in Router Handoff for targeted remediation

Zero-Finding Halt

If a review produces ZERO findings across ALL dimensions (security, correctness, performance, maintainability, UX/A11y), the review MUST halt and re-examine. Zero findings in a non-trivial change is a signal of insufficient review depth, not perfect code. Action: Re-read every changed file. Re-run the heuristic scans in references/code-review-heuristics.md. Re-run the security triage in references/security-review-checklist.md. If still zero findings after deliberate re-examination, document: "Zero findings confirmed after forced re-examination of [N files, M lines changed]. Reviewed: [list specific checks performed]." A bare "no issues" without re-examination proof is INVALID.

Evidence requirement per signal: Each signal MUST cite specific file:line. A signal without evidence = not reported.

Do NOT Flag (False Positive Prevention)

• Pre-existing issues not introduced by this change
• Correct code that merely looks suspicious
• Pedantic nitpicks a senior engineer would not flag
• Issues linters already catch (don't duplicate tooling)
• General quality concerns not required by project guidelines
• Issues explicitly silenced via lint-ignore comments

Priority Output Format (Feedback Grouping)

Organize feedback by priority (from reference pattern):

## Code Review Feedback

### Critical (must fix before merge)
- [95] SQL injection at `src/api/users.ts:45`
  → Fix: Use parameterized query `db.query('SELECT...', [userId])`

### Warnings (should fix)
- [85] N+1 query at `src/services/posts.ts:23`
  → Fix: Batch query with WHERE IN clause

### Suggestions (consider improving)
- [70] Function `calc()` could be renamed to `calculateTotal()`
  → More descriptive naming

ALWAYS include specific examples of how to fix each issue. Don't just say "this is wrong" - show the correct approach.

Red Flags - STOP and Re-review

If you find yourself:

• Reviewing code style before checking functionality
• Not running the tests
• Skipping the security checklist
• Giving generic feedback ("looks good")
• Not providing file:line citations
• Not explaining WHY something is wrong
• Not providing fix recommendations

STOP. Start over with Stage 1.

Rationalization Prevention

Output Format

## Code Review: [PR Title/Component]

### Stage 1: Spec Compliance ✅/❌

**Requirements:**
- [x] Requirement 1 - implemented at `file:line`
- [x] Requirement 2 - implemented at `file:line`
- [ ] Requirement 3 - NOT IMPLEMENTED

**Tests:** PASS (24/24)

**Verdict:** [Meets spec / Missing requirements]

---

### Stage 2: Code Quality

**Security:**
- [CRITICAL] Issue at `file:line` - Fix: [recommendation]
- No issues found ✅

**Performance:**
- [MAJOR] N+1 query at `file:line` - Fix: Use batch query
- No issues found ✅

**Quality:**
- [MINOR] Unclear naming at `file:line` - Suggestion: rename to X
- No issues found ✅

**UX/A11y:** (if UI code)
- [MAJOR] Missing loading state - Fix: Add spinner
- No issues found ✅

---

### Summary

**Decision:** Approve / Request Changes

**Critical:** [count]
**Major:** [count]
**Minor:** [count]

**Required fixes before merge:**
1. [Most important fix]
2. [Second fix]

Review Loop Protocol

After requesting changes:

1. Wait for fixes - Developer addresses issues
2. Re-review - Check that fixes actually fix the issues
3. Verify no regressions - Run tests again
4. Approve or request more changes - Repeat if needed

Never approve without verifying fixes work.

Partial Phase Reviews

When reviewing code from a single phase of a multi-phase plan:

Key principle: A partial-phase review succeeds when the phase exit criteria are met and no regressions exist. "Incomplete feature" is not a valid rejection reason if the plan has more phases.

Final Check

Before approving:

• Stage 1 complete (spec compliance verified)
• Stage 2 complete (all checklists reviewed)
• All critical/major issues addressed
• Tests pass
• No regressions introduced
• Evidence captured for each claim