AI coding and the peanut butter and jelly problem

Okay, but like.

If you do have that skill to communicate clearly and describe the requirements of a novel problem, why is the AI still useful? Actually writing the code should be relatively trivial from there. If it isn't, that points to a problem with your tools/architecture/etc. Programmers IMX are, on average, far too tolerant of boilerplate.

Once you've got to a detailed specification, LLMs are a lot faster at correctly typing code than you are.

In your analysis, do you account for the time taken to type a detailed specification with which to prompt the LLM?

Or the time to review the code - whether by manual fixes, or iterating with the prompt, or both?

No, just the time spent typing the code.

Time to first iteration is a huge metric that no one is tracking.