github-code-review

Multi-agent code review deploys specialized agents in parallel to inspect pull requests for security, performance, style, and architecture. The swarm assembles relevant agents to return comprehensive reports with suggested fixes.

To set up automated PR management, initialize a swarm for your target PR using the GitHub CLI and swarm tool. Then spawn targeted agents for security, performance, style, and architecture to post initial inline comments and status checks.

Yes, you can use AI agents to post inline comments and status checks on GitHub PRs. The swarm orchestrates agents to emit inline comments, update status checks, and return review decisions based on predefined rules.

Swarm-based code analysis handles security-sensitive file changes by assembling relevant specialized agents. These agents run parallel analysis on the diffs and return a comprehensive report with suggested fixes for security vulnerabilities.

The best way to scale code analysis is to use multi-agent coordination that runs parallel, agent-based analysis on PR files. This automates inspection, generates comments, and enforces quality gates without manual reviewer bottlenecks.