Just remember models are constantly evolving and being updated, so a language like python shouldn't stop evolving, models should keep updating themselves, for new languages too, it's only a matter of them getting traction and popularity, training data can be synthesized a posteriory using frontier models with extremely large contexts so you can always have the language spec and function reference.