That's exactly what senior executives who aren't coding are saying everywhere.
Meanwhile, engineers are using it for code completion and as a Google search alternative.
I don't see much difference here at all, the only habit to change is learning to trust an AI solution as much as a Stack Overflow answer. Though the benefit of SO is each comment is timestamped and there are alternative takes, corrections, caveats in the comments.
> I don't see much difference here at all, the only habit to change is learning to trust an AI solution as much as a Stack Overflow answer. Though the benefit of SO is each comment is timestamped and there are alternative takes, corrections, caveats in the comments.
That's a pretty big benefit, considering the feedback was by people presumably with relevant expertise/experience to contribute (in the pre-LLM before-time).
The comments have the same value as the answers themselves. Kinda like annotations and errata on a book. It's like seeing "See $algorithm in The Art of Programming V1" in a comment before a complex code.
In my experience it's far less useful than simple auto complete. It makes things up for even small amounts of code that I have to pause my flow to correct. Also, without actually googling you don't get any context or understanding of what it's writing.
I found it to be more distracting recently. Suggestions that are too long or written in a different style make me lose my own thread of logic that I'm trying to weave .
I've had to switch it off for periods to maintain flow.
Meanwhile, engineers are using it for code completion and as a Google search alternative.
I don't see much difference here at all, the only habit to change is learning to trust an AI solution as much as a Stack Overflow answer. Though the benefit of SO is each comment is timestamped and there are alternative takes, corrections, caveats in the comments.