I think on top of this, the question has an incorrect implicit assumption - that LLMs understand what they produce (this would be necessary for them to produce code in languages other than what they’re trained on).

LLMs don’t product intelligent output. They produce plausible strings of symbols, based on what is common in a given context. That can look intelligent only in so far as the training dataset contains intelligently produced material.