code-review-expert

Automated code review analyzes current git changes, checking for SOLID violations, security vulnerabilities, and performance bottlenecks. It categorizes findings by severity from P0 to P3 and provides actionable improvement suggestions.

Running an expert code review on your current git changes catches performance issues before a pull request. It identifies bottlenecks early and provides structured feedback with severity levels to improve code quality before human review.

Yes, automated code review provides actionable suggestions for fixing defects. It evaluates code quality and outputs structured findings categorized by severity levels, along with optional fix implementations to resolve the identified issues.

Yes, you can use a code review skill to check local git diffs without a remote repository. It performs expert analysis directly on your current git changes, evaluating security risks and SOLID violations locally.

Code quality findings are categorized by severity levels ranging from P0 to P3 during a review. This structured approach prioritizes security risks, performance issues, and SOLID violations to guide actionable improvements.

You should avoid relying solely on automated code review for complex architectural decisions, as it primarily targets SOLID principles, security risks, performance, and code quality defects within current git changes.