How AI Code Review Tools Are Catching Bugs That Humans Miss

How AI Code Review Tools Are Catching Bugs That Humans Miss A team of engineers at Stripe discovered a critical race condition in their payment processing code last month. The bug had survived three rounds of peer review, passed all unit tests, and made it to production. It wasn't a developer who found it — it was an AI code analyzer from Snyk's DeepCode engine. The vulnerability could have triggered duplicate charges under specific timing conditions. Human reviewers missed it because the logic error only surfaced when three separate functions executed in a particular sequence within milliseconds of each other. DeepCode flagged it in 4.7 seconds. This isn't an isolated case. According to data from GitHub's 2025 State of the Octoverse report, AI-powered code review tools caught 41% more critical security vulnerabilities than traditional static analysis in enterprise codebases. And they're doing it before human eyes ever see the pull request. Why Human Code Review Is Breaking Down Softwa