Let's take a step back and think about how LLMs are trained.
Think about when chat gpt gives you the side-by-side answers and asks you to rate which is "better".
Now consider the consequence of this at scale with different humans with different needs all weighing in on what "better" looks like.
This is probably why LLM generated code tends to have excessive comments. Those comments would probably get it a higher rating but you as a developer may not want that. It also hints at why there's inconsistency in coding styles.
In my opinion, the most important skill for developers today is not in writing the code but in being able to critically evaluate it.
Think about when chat gpt gives you the side-by-side answers and asks you to rate which is "better".
Now consider the consequence of this at scale with different humans with different needs all weighing in on what "better" looks like.
This is probably why LLM generated code tends to have excessive comments. Those comments would probably get it a higher rating but you as a developer may not want that. It also hints at why there's inconsistency in coding styles.
In my opinion, the most important skill for developers today is not in writing the code but in being able to critically evaluate it.