code-review

Automated code review for GitHub pull requests is performed by coordinating multiple specialized agents to identify high-signal issues within the changed diff. It analyzes PR diffs, titles, descriptions, and metadata to report only critical bugs, security concerns, and logic flaws.

Multi-agent code review works by running parallel analysis of pull request changes using specialized agents to detect bugs, security concerns, and design inconsistencies. This approach surfaces high-signal issues with minimal manual effort and generates structured inline comments.

Yes, pull requests can be checked for CLAUDE.md compliance automatically. The review process audits changes against CLAUDE.md guidelines and reports exact rule violations with traceable references and context from the diff.

Automated PR analysis works across different programming languages on GitHub. It focuses on evaluating the changed diff to find obvious bugs, security flaws, and logic errors regardless of the language used in the pull request.

The best way to report high-signal issues in a pull request diff is by generating structured inline comments. This method uses PR title, description, and diff context to highlight only critical issues with traceable references and minimal tool usage.

You should not use automated multi-agent code review when you need exhaustive style checking or low-signal feedback. It is designed to report only high-signal issues like obvious bugs, CLAUDE.md violations, and security flaws within the changed diff.