An AI code reviewer that analyzes pull requests with full-repo context to catch correctness and architectural issues, not just style nits.
Augment Code Review is an automated pull request review agent that integrates directly into GitHub to provide inline comments on bugs, security vulnerabilities, and anti-patterns. Unlike diff-only reviewers, it examines dependency chains, call sites, type definitions, tests, and historical changes to detect correctness issues, architectural drift, and missing tests. The tool achieves the highest accuracy on the only public benchmark for AI-assisted code review. It generates AI-powered PR summaries with architectural impact diagrams and supports configurable team coding standards. The agent adaptively learns based on which comments developers address.
Automated pull request review with context-aware inline feedback
Detecting breaking changes and security vulnerabilities before merge
Enforcing team coding standards
Generating PR summaries with change implications
Review time reduced from 3 hours to 30 minutes
2-4x faster merge cycles
65% precision rate with 60%+ comment addressal rate
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