A developer asks how to review AI-generated code before merging
A developer says they are using Claude to generate parts of code across several projects. They still make the main logic and architecture choices themselves, but the amount of code has increased. They are looking for PR review tools that can catch logic issues, security mistakes, missing edge cases, messy generated code, and performance problems.
Key points
- The post is about reviewing code partly generated with Claude.
- The writer wants a stronger setup before merging code.
- They want tools that catch bugs, security mistakes, bad patterns, and missing edge cases.
- They mention PR-Agent, SonarQube, CodeRabbit, Snyk Code, GitHub Copilot Code Review, and Claude Code Review.
- They prefer open-source, GitHub apps, packages, or self-hosted options, but may consider paid tools.
Quick term guide
- Architecture
- The overall structure and organization of a software project.
- AI coding tools
- Programs like Claude, Cursor, or ChatGPT that write code for you when you describe what you want in plain language.
- AI coding tool
- Software that uses AI to help write, edit, or explain code.
- static checks
- Automated checks that inspect code without running the full program.
- GitHub Copilot
- A popular tool that helps programmers write code using artificial intelligence.
- code review
- A check of code before it is shipped, usually to find mistakes or improvements.
- open-source
- Software whose code is shared publicly so others can inspect, use, or change it.
- self-hosted
- Run on your own server instead of managed by another company.