The abstraction shift is the important part. AI coding stops being autocomplete once the hard work moves to taste, constraints, verification, and deciding what not to ask the model to touch.
I believe all companies should give this kind of clarity to their teams to help them navigate this change well, rather than being ignorant or afraid of it.
The abstraction shift is the important part. AI coding stops being autocomplete once the hard work moves to taste, constraints, verification, and deciding what not to ask the model to touch.
Very well written Arnav.
I believe all companies should give this kind of clarity to their teams to help them navigate this change well, rather than being ignorant or afraid of it.
Good one.
On the learning part, Then what should be the approach to learn a new programming language, low level design paradigms and best practices etc. ?
rawdogging the docs , going through existing verified code to learn those patterns ?
Nothing really changes. LLMs accelerate certain things, but you still need to learn the same fundamentals. Especially of low level design.