用 AI 做 code review：自動審查程式碼品質與安全

AI Makes Code Review Faster and More Consistent

Code review can catch bugs and bad code, but manual review is slow and prone to human error due to fatigue. AI can automatically review every PR, providing consistent checks.

Automated PR Review Tools

Automate review and leave suggestions in GitHub/GitLab PRs using CodeRabbit, Greptile, Qodo, and CodeAnt AI. They understand code context, point out issues, and suggest fixes.

Code Quality and Security

Use Codacy for quality and security scans, and Snyk for security vulnerabilities and dependency management, integrating security into the development process.

Self-Review in the Editor

Before submitting a PR, use Cursor or GitHub Copilot to have AI review your changes, saving back-and-forth revisions.

Principles for Using AI Review

• AI review is "auxiliary," requiring human judgment, especially for architecture and business logic
• Don't blindly accept suggestions; understand and adopt them thoughtfully
• Treat it as an "always-alert initial review," reserving human effort for more critical judgments

Conclusion

AI code review won't replace the judgment of experienced engineers, but it can automate repetitive, mechanical checks, allowing teams to review faster and more consistently. For further reading: Using AI for Debugging and The Best AI Coding Tools.