analyze

Comprehensive code analysis evaluates security, architecture, performance, and code quality by executing tools like pyright, ruff, and bandit. It generates detailed YAML reports containing scores, specific findings, and improvement roadmaps for your specified code paths or entire project.

Automated security audits and quality checks can be executed before deployment by running a comprehensive analysis command. This generates a complete health check of the codebase, ensuring your new feature meets established quality and security standards.

Specific code analysis tools are required to perform multi-dimensional code analysis. The process relies on task execution using tools like pyright for type checking, ruff for quality, and bandit for security auditing to generate accurate YAML reports.

The best way to get an improvement roadmap is through multi-dimensional code analysis that evaluates quality and performance bottlenecks. The output is a detailed YAML report containing scores and actionable findings for your specified code paths.

Automated code reporting handles architecture review and performance tuning by using a code-analyzer sub-agent to evaluate multiple dimensions. It produces YAML reports with scores, specific findings, and structured improvement roadmaps for the entire project.

The code analysis report uses a YAML format to output detailed findings, scores, and improvement roadmaps. This structured format captures the results of the multi-dimensional quality, security, architecture, and performance evaluations.