3.1The Core Problem: LLMs Are Only as Good as Their Input

An LLM generating tests without context is like a QA engineer writing tests without reading the requirements. The output might look syntactically correct, but it will miss domain constraints, use wrong method names, and hallucinate APIs that do not exist.

The art of context feeding is deciding what to include, how much to include, and in what order -- given that every token of context costs money and competes for space in the model's attention window.