Thanks for your comment. It's a bit of a quandary with limited token length--do you go deep aiming for quality (resubmitting e.g. a problem around converting in

Thanks for your comment. It's a bit of a quandary with limited token length--do you go deep aiming for quality (resubmitting e.g. a problem around converting ints to strings 4+ times until you get a working answer, then moving onto the next bug) or rely on the LLM to provide broad swaths of code that you know is full of bugs? For this reason I thought it'd be nice if there was better reference code available to use even alongside GPT-focused work.