AI Code Review Tools Compared: Which One Catches the Most Bugs?

AI code review tools promise to catch bugs before they reach production. We tested the top 5 to find out which delivers.

Methodology

We submitted 200 pull requests with intentionally seeded bugs, security issues, and anti-patterns to each tool.

Results

CodeRabbit - 87% detection rate

Best at catching logic errors and suggesting improvements.

GitHub Copilot Code Review - 82% detection rate

Good integration with GitHub workflow.

Codacy - 78% detection rate

Best at style consistency and security patterns.

SonarQube AI - 75% detection rate

Strong on security, weaker on logic bugs.

DeepCode - 73% detection rate

Good at finding common patterns but misses edge cases.

Conclusion

CodeRabbit wins on accuracy, but the best choice depends on your workflow. All five tools are worth using alongside human reviewers.