code-review

name	code-review
description	Comprehensive code review combining Clean Code principles and senior engineer expertise. Reviews git changes for SOLID violations, security risks, clean code smells, and proposes actionable improvements.

Code Review

Comprehensive code review skill that combines Clean Code principles (Robert C. Martin) with senior engineer expertise for SOLID, architecture, security, performance, and code quality.

When to Use

• Reviewing Pull Requests: Provide constructive, principle-based feedback.
• Writing new code: Ensure high quality from the start.
• Refactoring legacy code: Identify and remove code smells.
• Improving team standards: Align on industry-standard best practices.

Severity Levels

Level	Name	Description	Action
P0	Critical	Security vulnerability, data loss risk, correctness bug	Must block merge
P1	High	Logic error, significant SOLID violation, performance regression	Should fix before merge
P2	Medium	Code smell, maintainability concern, minor SOLID violation	Fix in this PR or create follow-up
P3	Low	Style, naming, minor suggestion	Optional improvement

Workflow

1) Preflight Context

• Use git status -sb, git diff --stat, and git diff to scope changes.
• If needed, use rg or grep to find related modules, usages, and contracts.
• Identify entry points, ownership boundaries, and critical paths (auth, payments, data writes, network).

Edge cases:

• No changes: If git diff is empty, inform user and ask if they want to review staged changes or a specific commit range.
• Large diff (>500 lines): Summarize by file first, then review in batches by module/feature area.
• Mixed concerns: Group findings by logical feature, not just file order.

2) Linter Zero-New-Violations Check

• Load references/linter-checklist.md for detection and baseline strategy.
• Detect project linters: Scan for config files (.eslintrc*, pyproject.toml, .golangci.yml, Cargo.toml, etc.) to identify which linters are configured.
• Run linters on changed files only: Use git diff --name-only --diff-filter=ACMR HEAD to get changed files, then run the detected linter(s) targeting those files.
• Baseline comparison: Cross-reference linter output with diff hunks — only report violations on changed/added lines. Pre-existing violations in unchanged code are out of scope.
• Classification:
  • New error in changed line → P1 (must fix before merge)
  • New warning in changed line → P2 (should fix in this PR)
  • Formatter-only issues → P3 (suggest auto-fix command)
• If auto-fix is available (e.g., eslint --fix, ruff check --fix), mention the command in the suggested fix.
• If no linter is detected, skip this step and note it in the review output.

3) Clean Code Principles

Apply the following Clean Code principles during review:

Meaningful Names

• Intention-Revealing Names: elapsedTimeInDays instead of d.
• Avoid Disinformation: Don't use accountList if it's actually a Map.
• Meaningful Distinctions: Avoid ProductData vs ProductInfo.
• Pronounceable/Searchable Names: Avoid genymdhms.
• Class Names: Nouns (Customer, WikiPage). Avoid Manager, Data.
• Method Names: Verbs (postPayment, deletePage).

Functions

• Small: Functions should be shorter than you think (~20 lines max).
• Do One Thing: A function should do only one thing, and do it well.
• One Level of Abstraction: Don't mix high-level business logic with low-level details.
• Descriptive Names: isPasswordValid is better than check.
• Arguments: 0 is ideal, 1-2 is okay, 3+ requires strong justification.
• No Side Effects: Functions shouldn't secretly change global state.

Comments

• Don't Comment Bad Code — Rewrite It: Most comments are a sign of failure to express ourselves in code.
• Good Comments: Legal, Informative (regex intent), Clarification (external libraries), TODOs.
• Bad Comments: Mumbling, Redundant, Misleading, Mandated, Noise, Position Markers.

Formatting

• The Newspaper Metaphor: High-level concepts at the top, details at the bottom.
• Vertical Density: Related lines should be close to each other.
• Distance: Variables declared near their usage.

Objects, Data Structures & Error Handling

• Data Abstraction: Hide implementation behind interfaces.
• Law of Demeter: Avoid a.getB().getC().doSomething().
• Use Exceptions instead of Return Codes.
• Don't Return/Pass Null.

4) SOLID + Architecture Smells

• Load references/solid-checklist.md for specific prompts.
• Look for:
  • SRP: Overloaded modules with unrelated responsibilities.
  • OCP: Frequent edits to add behavior instead of extension points.
  • LSP: Subclasses that break expectations or require type checks.
  • ISP: Wide interfaces with unused methods.
  • DIP: High-level logic tied to low-level implementations.
• When you propose a refactor, explain why it improves cohesion/coupling and outline a minimal, safe split.
• If refactor is non-trivial, propose an incremental plan instead of a large rewrite.

5) Removal Candidates + Iteration Plan

• Load references/removal-plan.md for template.
• Identify code that is unused, redundant, or feature-flagged off.
• Distinguish safe delete now vs defer with plan.
• Provide a follow-up plan with concrete steps and checkpoints (tests/metrics).

6) Security and Reliability Scan

• Load references/security-checklist.md for coverage.
• Check for:
  • XSS, injection (SQL/NoSQL/command), SSRF, path traversal
  • AuthZ/AuthN gaps, missing tenancy checks
  • Secret leakage or API keys in logs/env/files
  • Rate limits, unbounded loops, CPU/memory hotspots
  • Unsafe deserialization, weak crypto, insecure defaults
  • Race conditions: concurrent access, check-then-act, TOCTOU, missing locks
• Call out both exploitability and impact.

7) Code Quality Scan

• Load references/code-quality-checklist.md for coverage.
• Check for:
  • Error handling: swallowed exceptions, overly broad catch, missing error handling, async errors
  • Performance: N+1 queries, CPU-intensive ops in hot paths, missing cache, unbounded memory
  • Boundary conditions: null/undefined handling, empty collections, numeric boundaries, off-by-one
• Flag issues that may cause silent failures or production incidents.

8) Output Format

Structure your review as follows:

## Code Review Summary

**Files reviewed**: X files, Y lines changed
**Overall assessment**: [APPROVE / REQUEST_CHANGES / COMMENT]

---

## Findings

### P0 - Critical
(none or list)

### P1 - High
1. **[file:line]** Brief title
  - Description of issue
  - Suggested fix

### P2 - Medium
2. (continue numbering across sections)
  - ...

### P3 - Low
...

---

## Linter Results
**Linters detected**: [list or "none"]
**New violations in changed lines**: X errors, Y warnings
(list each violation with file:line, rule, and auto-fix command if available)

## Clean Code Issues
(naming, function size, comment quality, formatting — grouped by principle)

## Removal/Iteration Plan
(if applicable)

## Additional Suggestions
(optional improvements, not blocking)

Inline comments: Use this format for file-specific findings:

::code-comment{file="path/to/file.ts" line="42" severity="P1"}
Description of the issue and suggested fix.
::

Clean review: If no issues found, explicitly state:

• What was checked
• Any areas not covered (e.g., "Did not verify database migrations")
• Residual risks or recommended follow-up tests

9) Next Steps Confirmation

After presenting findings, ask user how to proceed:

---

## Next Steps

I found X issues (P0: _, P1: _, P2: _, P3: _).

**How would you like to proceed?**

1. **Fix all** - I'll implement all suggested fixes
2. **Fix P0/P1 only** - Address critical and high priority issues
3. **Fix specific items** - Tell me which issues to fix
4. **No changes** - Review complete, no implementation needed

Please choose an option or provide specific instructions.

Important: Do NOT implement any changes until user explicitly confirms. This is a review-first workflow.

Clean Code Checklist

• Is this function smaller than 20 lines?
• Does this function do exactly one thing?
• Are all names searchable and intention-revealing?
• Have I avoided comments by making the code clearer?
• Am I passing too many arguments?
• Is there a failing test for this change?
• Does the code follow the Law of Demeter?
• Are exceptions used instead of return codes?

Resources

references/

File	Purpose
linter-checklist.md	Linter detection, baseline comparison, and auto-fix commands
solid-checklist.md	SOLID smell prompts, common code smells, and refactor heuristics
security-checklist.md	Web/app security and runtime risk checklist
code-quality-checklist.md	Error handling, performance, boundary conditions
removal-plan.md	Template for deletion candidates and follow-up plan