I thought this was really a novel perspective in the oceans of content on gencode out there. It’s also an interesting idea, writing frameworks inspired by the past and then leaning into the model instinct on code naming and organisation. If the temperature of the LLM call is low and the context is stable then it makes sense that it’s guesses for naming etc. will be similar each time, and you should get an efficiency gain from leaning into the LLMs having echoes of past solutions compressed in it’s weights.