Comment by jlcases

I've been working on a documentation system that improves how AI assistants understand project context. The problem I'm solving is that traditional documentation approaches are too fragmented for AI to effectively process.

After struggling with vague outputs from AI coding assistants, I started experimenting with MECE principles (Mutually Exclusive, Collectively Exhaustive) to organize technical documentation hierarchically. Think of it as creating a "mental model" for AI rather than just reference docs.

Some early results: - 40% reduction in back-and-forth iterations with AI assistants - Much more consistent code style and architectural patterns - Better preservation of domain knowledge across the project

Currently refining the metadata structure and creating templates for different project types. The system works especially well with Cursor AI and similar assistants that can process structured context.

If anyone else is exploring this space of "AI-optimized documentation," I'd love to exchange notes.