[HanClinto]

> because it uses obvious code patterns and includes genuinely relevant comments.

I often (simplistically) explain LLMs to people by explaining that it's essentially running a statistical average of language. Next-token-prediction (generally) aims to predict the next-least-surprising word that would occur in a sequence. It aims to "make sense" and be unsurprising.

If you want creative writing and innovative research papers and novel ideas, this isn't going to get you very far.

But if the things you want are "unsurprising" or "predictable" (great attributes of good, maintainable source code), then using this to write code feels like a pretty darn good fit.