Code Reviewer

Automated code reviews for pull requests analyze local diffs and staged changes using multi-agent orchestration. Coordinated agents assess architecture, security, performance, and style to provide actionable fixes and structured summaries suitable for PR discussions.

Focusing code review feedback on security or performance is supported through diff-aware inputs with focus controls. The multi-agent orchestration targets specific areas to provide actionable recommendations and prioritized tasks for the selected aspect.

Multi-agent orchestration for code review is a mechanism where multiple analysis agents coordinate to assess architecture, security, performance, and maintainability. It applies specialized agents to code changes to provide comprehensive, actionable feedback.

Automated code review works with local diffs and staged changes by identifying and analyzing code modifications. It applies multi-agent orchestration to provide architecture, security, performance, and style feedback directly on local file changes.

Actionable fixes from a code review are generated as prioritized tasks for pull requests. The multi-agent analysis provides structured summaries suitable for PR discussions and handoffs, delivering clear recommendations for improving code quality.

Automated code review should be used when you need comprehensive, coordinated analysis across architecture, security, performance, and style. It is suited for pull requests, local diffs, and staged changes where structured summaries and prioritized actionable fixes are required.