[eru]

I wonder if this will be temporary?

As AI systems improve, and especially as they add more 'self-play' in training, they might become really good at working in any language you can throw at some.

(To expand on the self-play aspect: when training you might want to create extra training data by randomly creating new 'fake' programming languages and letting it solve problems in them. It's just another way to add more training data.)

In any case, if you use an embedded DSL, like is already commonly done in Haskell, the LLMs should still give you good performance. In some sense, an 'embedded DSL' is just fancy name for a library in a specific style.