The amount of code needed to achieve stability/predictability and address all kinds of edge cases is huge, and I have yet to see at least 1 use case where we can rely on LLMs answer 100% if it concerns any fixed state machine implementation etc.
Yes, these models are really good (just amazing!) at what classical CS approach can’t do around media and text processing, but they have such a hard time playing by specific strict rules…
So, CS focus will change, but it’s not going away… it’s more like we will end up with a better abstraction layer - like in 50-60s it was all in pure machine codes, then assembly, then C/etc, OOP, etc - here we will probably figure out even more elegant way to express unambiguous algorithm in a very succinct and very readable/maintainable way - and let LLM-based compilers convert it deterministically into some c++ code… (and those compiler may end up still having tons of classical code for speed/reliability/etc)