Wow, the examples of Trelent are so incredibly useless. If you're going to generate comments like that, just don't. It is a waste of time to go through it as it is obvious from the function signature. And anything that could probably be written to be useful in the comment can't be grasped by LLM. LLMs just add padding to data, they add no content.
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I think the typical approach is in the opposite direction.. Write a comment about what the code should do then have the AI write the code, adjusting for any mistakes it makes.
RE your edit: I also support that conclusion and I’m glad you’ll give it a shot yourself. A mindset that helps me is this: commenting is part of the iterative code writing process. When I’m struggling to put a concise and understandable comment above some code, it almost universally means that there’s something about the code itself I should arrange more clearly. This is your chance to do some rubber ducking, it’s valuable to both you and the next person to read your code!