Great questions. By using the AI to help elicit requirements and then to generate a spec using a formal software development method you bridge the gap between t

Great questions. By using the AI to help elicit requirements and then to generate a spec using a formal software development method you bridge the gap between the users intentions and the code. The spec is visible to the user and is in a form that is easily understood by the user. AI is not used to generate the code so token burn is greatly reduced. This maybe of significance enterprises and also if the cost of tokens increases (Chinese llms may help keep costs down here at least for a while). This maybe similar to using llms and test driven development to produce the code. I'll do some more research on llm/tdd/codegen to see how that compares to what I stated to start off this topic. Thank you, I might learn something here.