Aurelio PR Review

Automated PR review uses a multi-agent pipeline to analyze changed files, check code quality, verify issue linkage, and validate documentation consistency before human review. It identifies changed files, categorizes them, and launches parallel agents for security, bugs, and docs.

Multi-agent code review orchestrates parallel specialized agents to analyze different aspects of a pull request simultaneously, such as security vulnerabilities, coding conventions, and documentation accuracy, generating a comprehensive pre-triage report.

Issue linkage verification automatically searches for related GitHub issues, links them to the pull request, and verifies if the code changes fully address the issue requirements before allowing a safe PR body update.

Documentation validation verifies that code changes are accurately reflected in project documentation including README, CLAUDE.md, and design docs, ensuring consistency between implementation and project documentation.

Integrating automated code analysis into CI/CD pipelines runs local code analysis and external feedback integration during pull request checks, flagging potential problems and implementing automated fixes before human review.

Automated PR review pipelines provide pre-triage reports and automated fixes but require human reviewers to focus on high-level logic, as the pipeline handles code quality, security checks, and documentation consistency without replacing manual oversight.