[oneeyedpigeon]

> LLMs can instantly review changes and suggest ways to improve it, which would require either reading up on the topic or asking a fellow engineer on payroll to spend their time doing the same job.

If we train ourselves out of being able to do these tasks, won't we find it harder to recognise when the AI makes mistakes?

[motorest]

> If we train ourselves out of being able to do these tasks, won't we find it harder to recognise when the AI makes mistakes?

We are not skipping these tasks. We are using tools to help us avoid doing drudge work that can be automated away.

Code linters eliminate the need to prettify code. Do developers find it harder to recognize indentation inconsistencies? Syntax highlighters simplify picking up code constructs. Do developers find it harder to read code? Template engines simplify generating new source files with programming constructs. Do developers find it harder to read code? Heck, auto complete helps developers write whole code blocks faster. Do developers find it harder to write a function?

[oneeyedpigeon]

I think those first two are not like the third. I think it's highly likely that developers who rely on AI to write code for them find it harder to write a function themselves, yes.