

Kilo Code Reviewer is an AI-powered tool that automatically analyzes pull requests to catch bugs before they reach production and help development teams ship code faster. The system understands your codebase and provides intelligent feedback on code changes.
The AI reviews code changes by checking for bugs, security issues, performance problems, and style violations based on your settings. It provides actionable feedback with inline comments on pull requests containing specific suggestions, explanations, and code examples. The system supports choosing from state-of-the-art AI models like Claude 4 Opus for deep analysis or cost-effective options like Gemini 2.5 Pro for routine reviews.
The tool automatically detects new pull requests when you push code and open a PR as usual. You can customize the review style by choosing how thorough reviews should be (strict, balanced, or lenient) and what to focus on: security, performance, bugs, code style, test coverage, or documentation. You can also add custom instructions about coding standards, architectural patterns, or specific things to watch for.
Key benefits include catching bugs before they reach production, enforcing coding standards consistently, learning from review suggestions, and complementing human code review processes. This helps teams maintain code quality and accelerate development cycles.
The product integrates with GitHub, GitLab, and Bitbucket (coming soon) with read-only access to keep code secure. It's designed for development teams looking to automate code quality assurance and is part of Kilo's all-in-one AI coding platform that includes IDE extensions, CLI tools, cloud agents, and app building capabilities.
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Kilo Code Reviewer is designed for development teams and software engineers who want to automate code quality assurance. It's trusted by 1M+ developers worldwide and used by developers at innovative companies looking to catch bugs before production and ship faster. The tool complements human code review processes and helps teams maintain consistent coding standards.