The code would be getting written anyways, its an invariant. The difference is less time wasted typing keys (albeit small amount of time) and more importantly (in my experience) it helps A LOT for discoverability.
With g3's immense amount of context, LLMs can vastly help you discover how other people are using existing libraries.
my experience dabbling with the ai and code is that it is terrible at coming up with new stuff unless it already exists
in regards to how others are using libraries, that’s where the technology will excel— re-writing code. once it has a stable AST to work with, the mathematical equation it is solving is a refactor.
until it has that AST that solves the business need, the game is just prompt spaghetti until it hits altitude to be able to refactor.
With g3's immense amount of context, LLMs can vastly help you discover how other people are using existing libraries.