In recent years, the rise of Large Language Models (LLMs) has birthed a new phenomenon known as "Vibe Coding." Developers describe what they want in natural language, and the AI generates thousands of lines of code. While this allows for rapid prototyping, it often fails in production-grade systems where intent, maintainability, and architectural discipline are paramount.
This project, the TinyGnomes Document Extractor, takes a different path. We utilize a methodology called AI-Assisted Literate Programming (ALP).
Inspired by Donald Knuth’s original concept of Literate Programming, ALP treats the documentation not as a side-car but as the source of truth. It is about intent and discipline—prioritizing design concerns and high-level goals over menial tasks. It enforces a philosophy of understanding before doing.