Seonglae ChoRRS
- Each file into semantic chunks
- Rank chunks based on running frequency, comments etc.
- Top-k summarization
- Recursive directorial summarization
- Project structure analysis
Prismatic RRS
through several lens of importance
- Architectural View: Module dependencies and hierarchical structure
- Data Flow View: Input → Processing → Output flow
- Security View: Sensitive data handling, authentication, and access control points
The day I taught AI to understand code like a Senior Developer
Is it just me, or are the code generation LLMs we’re all using not that good? For months, I’ve watched developers praise LLMs while silently cleaning up their messes, afraid to admit how much babysitting they actually need. I realized that LLMs don’t actually understand codebases — they’re just sophisticated autocomplete tools (with good marketing.) After two years of frustration watching my AI assistants constantly “forget” where files were located, create duplicates, and use completely incorrect patterns, I finally built what the big AI companies couldn’t — or wouldn’t. I decided to find out: What if I could make AI actually understand how my codebase works?
https://nmn.gl/blog/ai-understand-senior-developer?utm_source=tldrnewsletter