10x-health-check

To run a security scan and dependency audit, trigger a health check to analyze vulnerabilities, outdated packages, and CI/CD configuration. This ensures your project is secure and well-structured before integrating AI into the development workflow.

A comprehensive project health check includes dependency auditing, security scanning, test runner detection, and CI/CD configuration analysis. It evaluates your project's readiness by identifying vulnerabilities and assessing the existing test infrastructure.

Yes, the dependency audit supports multiple languages by utilizing specific tools like pip-audit for Python, cargo audit for Rust, and composer audit for PHP, detecting vulnerabilities across various project environments.

You can check if your project is healthy by running an end-to-end analysis that audits dependencies for vulnerabilities, verifies test infrastructure, and analyzes CI/CD configuration to ensure codebase readiness for AI integration.

The best way to detect security vulnerabilities is to perform an automated dependency audit using language-specific tools like npm audit or govulncheck. This identifies known security issues and outdated packages within your project.

You should audit your project dependencies to ensure the codebase is secure and well-structured. Addressing vulnerabilities beforehand prevents potential issues and security risks from being amplified during AI-assisted development.