@UlrikNyman @jaredwhite LLMs are non deterministic, so you can't know what it's doing and it potentially does different things when you run it a second time. They have no concept of architecture or design, just what is the statistically most likely next symbol. They are extremely inefficient because they have to re-read the whole codebase for every output token. Overuse encourages de-skilling, so you become more dependent on the LLM