Beyond Autocomplete: How to Make AI Actually Understand Your Codebase

The author expresses frustration with current AI coding assistants, highlighting their inability to truly understand codebases as interconnected systems. These tools often make repetitive mistakes and lack a comprehensive mental model of the project. To address this, the author developed "Prismatic Ranked Recursive Summarization" (PRRS), an algorithm that treats the codebase as a hierarchical knowledge graph, analyzing code through multiple "lenses" (e.g., architecture, data flow, security) to understand importance. This approach significantly improves AI code generation accuracy and efficiency, solving issues like file placement, pattern adherence, and code reuse. The author argues that the future of AI code generation lies in deeper codebase understanding, moving beyond simple token prediction.