I think that beyond the language used, the article does have some points I agree with. In general, LLMs code better in languages that are more easily available online, where they can be trained on a larger amount of source code. Python is not the same as PL/I (I don't know if you've tried it, but with the latter, they don't know the most basic conventions used in its development).

When it is mentioned that LLMs "have terrible code organization skills", I think they are referring mainly to the size of the context. It is not the same to develop a module with hundreds of LoCs, one with thousands or one with tens of thousands of LoCs.

I am not very much in favor of skill degradation; I am not aware of a study that validates it in this regard. On the other hand, it is true that agents are constantly evolving, and I don't see any difficulties that cannot be overcome with the current evolutionary race, given that, in the end, coding is one of the most accessible functions for artificial intelligence.