zlacker

>>tablet+(OP)
Weird to claim the llm does all the boring learning and boilerplate for you as a selling point, but then also insist we still need to responsibly read all the output, and if you can't understand it's a "skill issue".

Also the emphasis on greenfield projects? Starting is by FAR the easiest part. That's not impressive to me. When do we get to code greenfield for important systems? Reminds me of the equally absurd example of language choice. You think you get to choose? What?

Imagine all the code these agents are going to pump out that can never be reviewed in a reasonable time frame. The noise generated at the whim of bike-shedding vibe coders is going to drown all the senior reviewers soon enough. I'll call that Cowboy Coders on Steroids. Anyone with skills will be buried in reviews, won't have time for anything else, and I predict stricter code gen policies to compensate.

>>r0s+6T
I don't have a huge dog in this fight apart from AI advocates being annoying... but I would say that for greenfield projects the interesting thing is that I can get a skeleton of a working iOS app for something simple in like an hour of some copy/pasting stuff from ChatGPT. Instead of spending a good amount of time trying to get through learning material to do it.

It's nice to build throwaway things _so fast_, especially in the sort of fuzzy stuff like frontend where it's fine for it to be completely wrong. And then I can just use my own sense of how computers work to fix up what I care about, delete a bunch of what I don't care about... It's pretty amazing.

For existing projects I have only witnessed garbage output. I know people have success. I haven't seen it.

I have witnessed PMs taking a bullet pointed list of requirements and then use ChatGPT to generate paragraphs of text for some reason. You had the list!