code-review

Automated code review for a pull request diff analyzes code quality, security, and maintainability to deliver structured, actionable feedback. It identifies potential bugs, edge cases, and security issues while generating a detailed report with suggested fixes.

Static analysis for code quality and vulnerability detection identifies potential bugs, edge cases, and security issues without executing the program. It assesses code duplication, naming conventions, and complexity to provide structured, actionable recommendations for improving maintainability.

You can scan a specific source directory for security vulnerabilities and bugs by invoking the code-review skill on the target directory. It applies automated quality gates to analyze files and generate a structured feedback report with actionable recommendations.

Enforcing automated quality gates during code review involves analyzing code for duplication, naming conventions, and complexity hints. The process applies static analysis to identify vulnerabilities and generates structured, actionable feedback to ensure maintainability standards are met.

The best way to generate actionable feedback for code maintainability is using automated static analysis to assess quality and detect vulnerabilities. This approach systematically identifies bugs, edge cases, and security issues, delivering a detailed report with suggested fixes.

You need the code-analyzer agent integration to review files and directories for quality and security. The agent supports analyzing PR diffs and source code paths to systematically identify bugs, enforce quality gates, and generate actionable developer documentation.