Markdown-Powered Knowledge Graphs: How Lat.md Enables AI Agents to Navigate Complex Codebases

AI agents frequently struggle to understand complex codebases when documentation is scattered or outdated, leading to hallucinations and context errors. Lat.md addresses this by organizing knowledge into an interconnected graph of markdown files with wiki-style linking and semantic search capabilities, ensuring both humans and AI agents can consistently navigate code logic. This structured approach maintains documentation-code synchronization while remaining readable in standard editors—a critical capability as projects scale.