An analysis of AI code review quality across 500,000+ open source pull requests and 22 tools, finding that over half of bot-reviewed PRs (52.8%) see zero human activity after the bot posts its review. The research distinguishes review-centric from automated workflows and finds AI reviewers struggle most with large PRs and full-stack code, though they catch critical bugs well.