A practical guide to using modern AI tools for code review — getting better reviews, faster, with less effort.
| Guide | What it covers |
|---|---|
| Principles | Core ideas that apply across all tools |
| Claude Code | Using Claude Code (CLI / IDE) for reviews |
| Cursor | Using Cursor's AI features for review workflows |
| GitHub Copilot | Copilot Chat and PR review features |
| Prompting Techniques | Prompt patterns that produce better review feedback |
| Workflows | End-to-end workflows combining tools and CI |
| Anti-Patterns | Common mistakes and how to avoid them |
Engineers who already do code reviews and want to use AI tools to:
- Catch more bugs and subtle issues
- Review faster without sacrificing depth
- Get consistent coverage of security, performance, and correctness concerns
- Reduce the tedium of reviewing boilerplate-heavy changes
If you only read one file, read Principles. The tool-specific guides assume you've internalized those ideas.