[muyuu]

I'd have said the same a few months ago, but looking at the code quality that the SotA LLMs right now I have to say it's excellent and the problems they have are not with the language but with the subject problems, esp. when they require some complex design that isn't well documented beforehand. They seem to struggle with keeping a world model. Languages themselves, they run circles around humans.

Now the case for Go or for other tightly standardised languages is that whatever the LLM produces, you're likely to be familiar with and make sense of its decisions. With C++, you can generally steer the LLM to refactor things in a certain way but it's extra steps. With Ruby it works surprisingly well too. I'm a lot less happy with their results in Lisp or in Bash/zsh for instance, and mixed results in C depending on what you give them to start - they just come with such random stuff. But it may be just a matter of training set and the relative free-form of those languages.