10x-health-check

To check codebase readiness for AI agent collaboration, run a project health audit that analyzes dependency vulnerabilities, test infrastructure, and CI/CD pipeline coverage. This process generates a prioritized remediation report highlighting configuration gaps that need fixing before onboarding an agent.

A project health check for a brownfield codebase evaluates dependency security, lockfile integrity, test runner execution capability, and CI/CD pipeline steps including linting, type checks, and builds. It identifies missing configuration and produces an overall readiness verdict for agent-assisted development.

Yes, you can audit dependency security and CI/CD coverage across multiple ecosystems. The read-only multi-ecosystem assessment detects lockfile gaps, runs vulnerability audits, and reviews pipeline configurations regardless of the specific tech stack used in your existing project.

The best way to prepare a legacy project for AI coding agent onboarding is to perform a comprehensive health audit focusing on dependency health, test infrastructure, and configuration gaps. This yields a prioritized fix list and a markdown readiness report to guide necessary remediation steps.

Your project needs a readiness report before agent-assisted development to identify security vulnerabilities, outdated dependencies, and missing CI/CD steps. Addressing these configuration and infrastructure gaps ensures the AI agent can operate effectively without breaking existing functionality.

Yes, the health check report includes prioritized remediation guidance for fixing configuration gaps, security vulnerabilities, and test infrastructure issues. It outputs a structured markdown file containing an overall readiness verdict and actionable steps for resolving detected project deficiencies.