Nim might hit the sweet-spot here: typed, compiled, and Python-like.
I wrote this [1] comment a few weeks ago:
""" ... Claude Code is surprisingly good at writing Nim. I just created a QuickJS + MicroPython wrapper in Nim with it last week, and it worked great!
Don't let "but the Rust/Go/Python/JavaScript/TypeScript community is bigger!" be the default argument. I see the same logic applied to LLM training data: more code means more training data, so you should only use popular languages. That reasoning suggests less mainstream languages are doomed in the AI era.
But the reality is, if a non-mainstream language is well-documented and mature (Nim's been around for nearly 20 years!), go for it. Modern AI code gen can help fill in the gaps. """