To me, you are describing a fluency problem. I don't know you or how fluent you are in code, but what you have described is the case where I have no problem with LLMs: translating from a native language to some other language.

If you are using LLMs to precisely translate a set of requirements into code, I don't really see a problem with that. If you are using LLMs to generate code that "does something" and you don't really understand what you were asking for nor how to evaluate whether the code produced matched what you wanted, then I have a very big problem with that for the same reasons you outline around prose: did you actually mean to say what you eventually said?

Of course something will get lost in any translation, but that's also true of translating your intent from brain to language in the first place, so I think affordances can be made.