AI + Design #1: The Validator Caught My Own Docs Lying

The creator of the 7onic design system has developed a new validation tool to address the common issue of documentation drift in AI-assisted development. By building an MCP (Model Context Protocol) server, the developer created an enforcement layer that cross-references documentation against actual source code, CVA variants, and CLI registries. The tool, which includes features like 'validate_code' and 'suggest_tokens,' successfully identified discrepancies where documentation provided inaccurate information to AI models. The system ensures that design rules are not just polite requests but active constraints. By bundling the server to avoid complex installation steps, the project aims to keep design systems and their documentation in sync. This initiative highlights the growing necessity for rigorous, automated verification in AI workflows, ensuring that documentation remains a reliable source of truth rather than a source of hallucinated errors.