code-review

Multi-agent code review automation runs a distributed workflow on GitHub pull requests, performing parallel analysis of diffs and docs to surface high-signal issues. It generates structured summaries and inline comments ready for posting directly to the PR.

The best way to add inline comments during automated code review is using an agent-driven workflow that analyzes PR diffs and posts high-signal feedback directly on specific lines. This ensures actionable bug detection and CLAUDE.md compliance checks are visible exactly where changes occur.

Automated PR review analyzes both code changes and related documentation updates. The multi-agent workflow evaluates diffs and docs in parallel, ensuring comprehensive coverage and adherence to project standards across all modified files in the pull request.

GitHub authentication is required to run multi-agent pull request reviews. The workflow needs access to the PR diffs and comments to perform parallel analysis and post structured inline feedback back to the repository.

Multi-agent code review is designed for standard PRs containing diffs and comments. It applies agent orchestration to analyze changes, check CLAUDE.md adherence, detect bugs, and generate formatted summaries with inline comments for the pull request.

A multi-agent workflow enables distributed, parallel analysis of PR diffs and documentation rather than a single sequential pass. This agent orchestration surfaces higher-signal issues, performs targeted compliance checks, and produces structured inline comments for comprehensive review.