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Augment Code just outperformed six of the top AI code review tools, including GitHub Copilot, on a public benchmark. We dive into the results from Greptiles AI code review benchmark, which tested tools against 50 pull requests from production codebases like Sentry, Grafana, and Cal.com. We'll compare precision and recall scores for Augment Code, Codeex, Cursor Bugbot, Greptile, Claude Code, Code Rabbit, and GitHub Copilot to see who finds the most real bugs with the least noise. We also break down a real-world example from a Sentry PR where most AI tools gave false confidence, but Augment caught the critical regression. Learn why assembling the right context is the hardest part of AI code review and how Augment's context engine gives it a critical advantage for deep, systems-level reasoning. Timestamps: 00:00 - AI Code Review Benchmark Results 00:22 - Precision vs. Recall Explained 00:30 - Augment Code's Top Score 00:36 - How Competitors Performed 01:15 - Real-World Sentry PR Example 01:50 - The Problem with AI Review 02:06 - Augment's Context Engine Secret 02:21 - See the Full Benchmark Read the full benchmark analysis: ► Try Augment Code Review: https://www.augmentcode.com/product/c... #AICodeReview #GitHubCopilot #Programming #SoftwareDevelopment #AugmentCode #DeveloperTools #AI