If you've ever spent hours debugging only to find a typo, a missing semicolon, or an off-by-one error — you know the pain. AI code review tools have changed that workflow forever.
In this post, I'll show you how these tools work, which ones are worth using, and how to set them up for free.
AI code review uses large language models to scan your code for:
Unlike traditional linters (ESLint, pylint), AI tools understand context. They can tell you "this function will break if the API returns an empty array" — not just "you used the wrong indentation."
CodeRabbit integrates directly into GitHub PRs. On every pull request, it posts a line-by-line review. Free for public repos.
Setup: Visit coderabbit.ai, sign in with GitHub, select your repo. Done.
Codeium is primarily an autocomplete tool (like Copilot), but its chat can review selections of code. Completely free for individuals.
Setup: Install the VS Code extension, sign in.
Don't underestimate a manual prompt. Paste your code into Claude or GPT with:
Review this code for bugs, security issues, and improvements. Be specific.
This catches ~80% of issues in my experience.
Semgrep isn't fully AI, but it uses AI to write custom rules. The free tier covers most small projects.
pip install semgrep
semgrep --config=auto .
The trick isn't replacing yourself with AI — it's using AI as a first pass. Here's my workflow:
This cuts my debugging time roughly in half. The AI catches the obvious stuff; I focus on logic and architecture.
For a typical Python/JS project:
Total cost: $0.
AI code review tools aren't replacing developers — they're removing the tedious part of the job. The developers who learn to use them well will ship faster, with fewer bugs, and learn more in the process.
Start with Codeium and CodeRabbit. Both are free, both are excellent.
What AI tools do you use for code review? Drop a comment below.
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