I consider boilerplate code output like that to be well within reach of simple tools though. Tools that didn't need a year to learn from hundreds of terabytes of examples, 20GB of VRAM, or the power use of a small city.

[–] olafurp@lemmy.world 2 points 1 day ago* (last edited 1 day ago)

Don't get me wrong, I still write more than 98% of code by hand and of course, I can write those functions myself in 30m myself but I can get it in 60s with the AI. LLMs can write code to that does parse - > model - > map - > format with only one or two easy to fix bugs.

It's in the very niche cases where it's just tedious to write something out that LLMs actually work. "Write an API client that uses [library] that handles these requests/responses" comes also to mind as something that would work.

I'm using now also to learn react native where I get bugs I'm very unfamiliar with and SO doesn't give me a good answer.

I've also had decent success at having it review my code with "how would I further optimise this code" and it gives me some pointers and then writes buggy code but the approach is correct usually and I can implement it myself.