I dunno I find it almost more important than ever to have deep domain experience. You need to be able to scan output and spot any problems/improvements instantly. If I am just auditing AI output around an area I don’t have mastery of I am basically useless.
A stack is still not a domain. You could have domain expertise in building highly scaled distributed systems and still not call yourself a ____ programmer. The point is that your value lies more in knowing how to build for performance, consistency, reliability at scale and not in knowing where the semicolon goes.
I dunno even isolated to language specific aspects someone with no experience could hang themeselves. I use a ton of Go & Javascript, if you take a fundamental part of both languages, async operations and compare them they have radically different approaches. Even if I was skilled at distributed systems with deep JS knowledge I would lack the skills to audit Go code effectively. goroutines and channels require a bit different mental model than promises and callbacks. You could easily let the AI architect a mess that works.
That is why I would be hesitant to review complex Rust or some other code I have no experience in, sure the language has ways to handle things like async, garbage collection, etc. but I would just be assuming the AI is doing it right or even worse trying to steer it to handle it in a Javascript or Go manner.