AI-generated code is dramatically increasing code review load at engineering teams, creating a new bottleneck in software development. Engineering leaders are responding with a mix of AI-powered review tools (CodeRabbit, Greptile, Qodo, SonarQube, Cursor review, GitHub Copilot review) and in-house solutions built by companies like Uber, Cloudflare, Faire, and HubSpot. A secondary approach involves rethinking code verification through more thorough testing rather than traditional review. A key concern is reviewer burnout: engineers are rubber-stamping AI-reviewed PRs without real scrutiny, while diligent reviewers feel overwhelmed by low-quality AI-generated pull requests. No proven solutions exist yet — most responses are still experimental.
