review

Automated code review for git changes analyzes diffs across nine dimensions including security, logic, duplication, and testing gaps to generate a structured walkthrough, changes table, and categorized fixes plan. It orchestrates remediation via subagents to prepare precise file-level changes.

Static analysis for code review systematically evaluates git diffs to detect security vulnerabilities, logic errors, duplication, cross-file impact, and testing gaps. You need it when manual review becomes time-consuming or error-prone, especially for complex repository changes requiring multi-dimensional assessment.

Run an automated review on changed files to generate a comprehensive code-review report including an end-to-end walkthrough, changes table, and categorized findings. The analysis prioritizes focus across nine dimensions and orchestrates fixes via subagents with targeted, file-level changes.

Automated code review applies to code changes in any repository regardless of language. It analyzes git changes uniformly across nine dimensions—security, logic, duplication, cross-file impact, testing gaps, and more—producing consistent walkthrough artifacts and fixes plans.

Automated code review orchestrates fixes via subagents and loads relevant auto-skills to prepare precise, file-level changes. Beyond generating a walkthrough and changes table, it enables a clean handoff by preparing commits with targeted fixes for the identified issues.

Automated static analysis focuses on detectable patterns within git diffs across nine dimensions but may not capture nuanced architectural decisions or business logic context. It produces structured findings and fixes plans, but human judgment remains valuable for complex cross-file impact assessment and security trade-offs.