Kilo Code Reviewer is an AI-powered tool that automatically reviews code changes when pull requests are opened. It analyzes code to catch bugs before they reach production and helps enforce coding standards consistently.

The AI reviews code changes by checking for bugs, security issues, performance problems, and style violations based on user settings. Users can choose from state-of-the-art models like Claude 4 Opus for deep analysis or cost-effective options like Gemini 2.5 Pro for routine reviews. The system allows mixing and matching models based on PR complexity and provides inline comments with specific suggestions, explanations, and code examples.

The tool works by automatically detecting new pull requests when code is pushed. Users connect their repository, select an AI model, set their review style (strict, balanced, or lenient), and choose focus areas like security, performance, bugs, code style, test coverage, or documentation. Custom instructions can be added to teach the AI about specific coding standards and architectural patterns.

Benefits include catching bugs before production, enforcing coding standards consistently, learning from review suggestions, and complementing human code review. It helps teams ship faster by providing instant automated feedback on pull requests.

The product targets developers and engineering teams using GitHub, GitLab, and Bitbucket (coming soon). It integrates with development workflows through repository connections and provides read-only access to maintain code security.