code-review

You can automate pull request reviews by orchestrating multiple parallel agents that evaluate changes against CLAUDE.md guidelines, detect bugs, and summarize impact. Running a review command on a GitHub PR generates structured, high-confidence issue reports based on your existing standards.

Ensuring consistent code quality is best achieved by reusing CLAUDE.md guidelines to direct automated reviews. This applies explicit compliance checks to GitHub pull requests of any size, focusing on non-trivial changes where code quality matters most.

Yes, a CLAUDE.md file is required. The CLAUDE.md guidelines must be present in the repository to provide explicit checks, enabling agents to evaluate guideline compliance during the pull request review process.

Multi-agent code review handles large pull requests by coordinating parallel agents for CLAUDE.md compliance, bug detection, and historical context. It applies a confidence threshold, defaulting to 80, to filter low-confidence findings and produce high-confidence issue reports.

Yes, the confidence threshold for bug detection findings can be adjusted from its default of 80. This threshold filters out low-confidence findings, ensuring only high-confidence issues are included in the structured review reports.

A limitation is that automated reviews focus on non-trivial changes where guideline compliance matters, requiring CLAUDE.md guidelines for explicit checks. Without these guidelines, the historical context and bug detection agents cannot perform explicit compliance evaluations.