AI Code Review and Refactoring
Use AI to review pull requests, identify code smells, suggest refactoring, and generate unit tests automatically.
Time
30 minutes/PR
Difficulty
intermediate
Tools
4 tools
What You'll Achieve
A pre-reviewed PR with categorised issues, suggested fixes, and generated unit tests — cutting review time by 60%.
Prerequisites
- Code diff or PR to review
- Understanding of project architecture
- Testing framework setup
TOOLS USED
STEPS
Extract PR diff
Copy the changed files or use GitHub's API to get the diff programmatically.
Run AI review
Feed the code into ChatGPT/Claude with a review prompt covering: bugs, performance, security, readability, naming.
Prioritise findings
Categorise AI suggestions into: critical (must fix), important (should fix), and minor (nice to have).
Generate refactored code
For critical issues, have AI generate the fixed version with explanation of changes.
Generate missing tests
Ask AI to write unit tests for the new/changed code paths using your project's testing framework.
Overview
Code reviews are bottlenecks. This workflow uses AI to pre-review code for common issues, suggest improvements, and even generate missing tests — freeing senior developers for architecture decisions.
Frequently Asked Questions
Can AI catch all bugs?+
No. AI catches common patterns and code smells but misses business logic errors. Use it as a first pass, not a replacement.
Which AI is best for code review?+
Claude excels at long code files. ChatGPT is better for quick reviews. Copilot integrates best with IDE workflows.
Disclaimer: This workflow is provided for educational purposes. Tool names and pricing are subject to change by their respective providers. Always review each tool's terms of service before use. Results may vary based on your inputs and the AI models available to you.