agent-readiness-audit

Assess codebase readiness for autonomous AI agents by scoring eight pillars: style/validation, build systems, testing, documentation, dev environment, code quality, observability, and security governance. The audit produces pillar-wise scores, an overall rating, and a prioritized remediation plan with effort estimates.

Agent readiness measures how well a repository supports autonomous AI coding agents. A pillar audit evaluates style, build, testing, documentation, dev environment, code quality, observability, and security governance to identify gaps and generate evidence-backed fixes before deploying agents.

Yes, the agent readiness audit applies to diverse repositories including monorepos. It evaluates each project across the eight pillars and generates a unified readiness score with a prioritized remediation plan tailored to the specific codebase structure.

Run the readiness audit to generate a prioritized remediation plan with estimated effort levels. Each remediation item includes concrete fixes, risk explanations, and evidence backing, guiding engineering teams step-by-step toward full agent readiness.

The best way to improve security governance and CI-CD readiness is through a structured pillar audit. It scores these domains, identifies specific gaps, and outputs evidence-backed remediation items with concrete fixes and risk explanations to harden your pipeline.