AI code review complements human reviewers. Automated analysis catches common issues, style violations, and potential bugs. Human reviewers focus on architecture, logic, and nuanced decisions.
AI Review Capabilities
Static analysis identifies code smells and anti-patterns. Security scanning detects vulnerabilities. Style enforcement ensures consistency. Suggested improvements offer alternative implementations.
- Integrate AI review in pull request workflows
- Configure rules matching team standards
- Use AI suggestions as starting points, not mandates
- Combine with traditional linting tools
- Track false positive rates tuning configurations
Human-AI Balance
AI excels at repetitive checks humans miss from fatigue. Humans evaluate business logic, architecture decisions, and edge cases. Together they provide more thorough review than either alone.