Code Review Excellence

|

Published by awesome-skills

Code Review

Cloud-native skill

Runs in the cloud

No local installation

Dependencies pre-installed

Ready to run instantly

Secure VM environment

Isolated per task

Works on any device

Desktop, tablet, or phone

Documentation

Code Review Excellence

Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.

When to Use This Skill

  • Reviewing pull requests and code changes
  • Establishing code review standards for teams
  • Mentoring junior developers through reviews
  • Conducting architecture reviews
  • Creating review checklists and guidelines
  • Improving team collaboration
  • Reducing code review cycle time
  • Maintaining code quality standards

Core Principles

1. The Review Mindset

Goals of Code Review:

  • Catch bugs and edge cases
  • Ensure code maintainability
  • Share knowledge across team
  • Enforce coding standards
  • Improve design and architecture
  • Build team culture

Not the Goals:

  • Show off knowledge
  • Nitpick formatting (use linters)
  • Block progress unnecessarily
  • Rewrite to your preference

2. Effective Feedback

Good Feedback is:

  • Specific and actionable
  • Educational, not judgmental
  • Focused on the code, not the person
  • Balanced (praise good work too)
  • Prioritized (critical vs nice-to-have)
❌ Bad: "This is wrong."
✅ Good: "This could cause a race condition when multiple users
         access simultaneously. Consider using a mutex here."

❌ Bad: "Why didn't you use X pattern?"
✅ Good: "Have you considered the Repository pattern? It would
         make this easier to test. Here's an example: [link]"

❌ Bad: "Rename this variable."
✅ Good: "[nit] Consider `userCount` instead of `uc` for
         clarity. Not blocking if you prefer to keep it."

3. Review Scope

What to Review:

  • Logic correctness and edge cases
  • Security vulnerabilities
  • Performance implications
  • Test coverage and quality
  • Error handling
  • Documentation and comments
  • API design and naming
  • Architectural fit

What Not to Review Manually:

  • Code formatting (use Prettier, Black, etc.)
  • Import organization
  • Linting violations
  • Simple typos

Review Process

Phase 1: Context Gathering (2-3 minutes)

Before diving into code, understand:

  1. Read PR description and linked issue
  2. Check PR size (>400 lines? Ask to split)
  3. Review CI/CD status (tests passing?)
  4. Understand the business requirement
  5. Note any relevant architectural decisions

Phase 2: High-Level Review (5-10 minutes)

  1. Architecture & Design - Does the solution fit the problem?
  2. Performance Assessment - Are there performance concerns?
    • For performance-critical code, consult Performance Review Guide
    • Check: Algorithm complexity, N+1 queries, memory usage
  3. File Organization - Are new files in the right places?
  4. Testing Strategy - Are there tests covering edge cases?

Phase 3: Line-by-Line Review (10-20 minutes)

For each file, check:

  • Logic & Correctness - Edge cases, off-by-one, null checks, race conditions
  • Security - Input validation, injection risks, XSS, sensitive data
  • Performance - N+1 queries, unnecessary loops, memory leaks
  • Maintainability - Clear names, single responsibility, comments

Phase 4: Summary & Decision (2-3 minutes)

  1. Summarize key concerns
  2. Highlight what you liked
  3. Make clear decision:
    • ✅ Approve
    • 💬 Comment (minor suggestions)
    • 🔄 Request Changes (must address)
  4. Offer to pair if complex

Review Techniques

Technique 1: The Checklist Method

Use checklists for consistent reviews. See Security Review Guide for comprehensive security checklist.

Technique 2: The Question Approach

Instead of stating problems, ask questions:

❌ "This will fail if the list is empty."
✅ "What happens if `items` is an empty array?"

❌ "You need error handling here."
✅ "How should this behave if the API call fails?"

Technique 3: Suggest, Don't Command

Use collaborative language:

❌ "You must change this to use async/await"
✅ "Suggestion: async/await might make this more readable. What do you think?"

❌ "Extract this into a function"
✅ "This logic appears in 3 places. Would it make sense to extract it?"

Technique 4: Differentiate Severity

Use labels to indicate priority:

  • 🔴 [blocking] - Must fix before merge
  • 🟡 [important] - Should fix, discuss if disagree
  • 🟢 [nit] - Nice to have, not blocking
  • 💡 [suggestion] - Alternative approach to consider
  • 📚 [learning] - Educational comment, no action needed
  • 🎉 [praise] - Good work, keep it up!

Language-Specific Guides

根据审查的代码语言,查阅对应的详细指南:

Language/Framework Reference File Key Topics
React React Guide Hooks, useEffect, React 19 Actions, RSC, Suspense, TanStack Query v5
Vue 3 Vue Guide Composition API, 响应性系统, Props/Emits, Watchers, Composables
Rust Rust Guide 所有权/借用, Unsafe 审查, 异步代码, 错误处理
TypeScript TypeScript Guide 类型安全, async/await, 不可变性
Python Python Guide 可变默认参数, 异常处理, 类属性
Java Java Guide Java 17/21 新特性, Spring Boot 3, 虚拟线程, Stream/Optional
Go Go Guide 错误处理, goroutine/channel, context, 接口设计
C C Guide 指针/缓冲区, 内存安全, UB, 错误处理
C++ C++ Guide RAII, 生命周期, Rule of 0/3/5, 异常安全
CSS/Less/Sass CSS Guide 变量规范, !important, 性能优化, 响应式, 兼容性

Additional Resources

Skill as a Service

Everyone else asks you to install skills locally. On Rebyte, just click Run. Works from any device — even your phone. No CLI, no terminal, no configuration.

  • Zero setup required
  • Run from any device, including mobile
  • Results streamed in real-time
  • Runs while you sleep
Run this skill now

Compatible agents

Claude Code

Gemini CLI

Codex

Cursor, Windsurf, Amp

rebyte.ai — The only platform where you can run AI agent skills directly in the cloud

No downloads. No configuration. Just sign in and start using AI skills immediately.

Use this skill in Agent Computer — your shared cloud desktop with all skills pre-installed. Join Moltbook to connect with other teams.