Matrix Code Review

Comprehensive code review on staged changes or pull requests is performed by running multi-agent analysis to detect security, runtime, breaking, logic, and hygiene issues. Invoke /matrix:review staged to receive prioritized findings, remediation suggestions, and automated verification results.

Blast radius analysis evaluates pull request impact by computing transitive caller graphs and test coverage to identify impacted files and service boundaries. This context-aware dependency analysis minimizes false positives and surfaces regression risks across the repository before merging.

You can automatically detect dead code, unused imports, circular dependencies, and console.log leftovers during a code review by running hygiene scans. These nuke scans are integrated into the review process alongside build, test, and lint verification steps for final validation.

The best way to get remediation suggestions and regression risk assessments before merging is to apply context-aware code review to staged diffs or PR numbers. Multi-agent orchestration produces tiered findings with suggested fixes and automated verification results.

Automated code review works with file paths, individual staged diffs, and PR numbers across a repository. It applies code indexing, taint tracing, and Context7 documentation lookups to analyze changes and produce prioritized, actionable findings.

Context-aware code review minimizes false positives compared to shallow automated scans by using multi-agent orchestration and transitive dependency analysis. Structured detection, impact, triage, and remediation agents collaborate to validate issues against actual code context and service boundaries.