Show HN: Make your codebase agent ready (github.com)

A new framework called Agentize has been introduced to evaluate and enhance the readiness and adoption of AI agents within software projects. This initiative features two maturity models: Agent Readiness, which measures project structural properties, and Agent Adoption, which assesses the integration of AI agents into development workflows. Utilizing Claude Code skills, teams can automatically appraise their current state, identify barriers, and systematically implement improvements to enhance AI effectiveness. The framework classifies projects across several levels, from "Uninstrumented" — where agents lack meaningful context, to "Sustainable Autonomy," where agents independently address technical debt and other issues. Scored across 11 readiness and 8 adoption criteria, it offers detailed insights into how well AI agents can interact with and enhance codebases. By providing actionable assessments and improvement recommendations, Agentize aims to streamline the integration of AI in software engineering, potentially transforming development processes and increasing efficiency in Future AI-driven applications.