Show HN: Don't trust your docs, codument instead (benquemax.com)

Markus Hav has introduced "Codumentation," a transformative approach to AI documentation that addresses the significant issue of accuracy in traditional documentation practices. Highlighting a recent incident where an AI coding agent misinterpreted stale documentation regarding API input validation, Hav emphasizes that conventional methods rely heavily on hope for accuracy, which can lead to critical vulnerabilities when AI systems operate on outdated or incorrect information. The Codumentation method advocates for a "Validation-First" approach, where every claim in documentation is treated as a testable assertion verified by corresponding code. Codumentation redefines documentation as executable modules, integrating validation directly into the workflow. This allows for a feedback mechanism where AI agents can learn from documentation failures. For instance, if an API route is added without required validation, the AI receives instant corrective feedback, turning errors into educational opportunities. This innovative method ensures that documentation remains reliable and continuously evolves, reducing technical debt and enhancing the reliability of AI systems, ultimately contributing to safer and more effective applications in the rapidly advancing AI/ML landscape.