Comment by drogus

I think it's a mix of people being actually hyped and wishing this is the future. For me, productivity gains are mostly in areas where I don't have expertise (but the downside, of course, is I don't learn much if I let AI do the work) or when I know it's a throwaway thing and I absolutely don't care about the quality. For example, I'm bedtime reading a series of books for my daughter, and one of them doesn't have a Polish translation, and the Polish publisher stopped working with the author. I vibe coded an app that will extract an epub, translate each of the chapters, and package it back to an epub, with a few features like: saving the translations in sqlite, so the translation can be stopped and resumed, ability to edit translations, add custom instructions etc. It's only ~1000 lines of Rust code, but Claude generated it when I was doing dinner (I just checked progress and prompted next steps every few minutes). I can guarantee that it would take me at least an evening of coding, probably debugging problems along the way, to make it work. So while I know it's limited in a way it still lacks in certain scenarios (novel code in niche technology, very big projects etc), it is kinda game changer in other scenarios. It lets me do small tools that I just wouldn't have time to do otherwise.

So I guess what I'm saying is, even with all the limitations, I kinda understand the hype. That said, I think some people may indeed exaggerate LLMs capabilities, unless they actually know some secret recipe to make them do all those awesome hyped things (but then I would love to see that).