Comment by rglover
It seems to be relative to skill level. If you're less-experienced, you're letting these things write most if not all of your code. If you're more experienced, that's inverted (you write most of the code and let the AI safely pepper things in).
Don't rule out laziness! I'm a very experienced senior dev (full stack, embedded, Rust, Python, web everything, etc)... Could I have spent a ton of time learning the ins and outs of Yjs (and the very special way in which you can integrate it with TipRap/prosemirror) in order to implement a concise, collaborative editor? Sure.
Or I could just tell Claude Code to do it and then spend some time cleaning it up afterwards. I had that thing working quite robustly in days! D A Y S!
(Then I had the bright idea of implementing a "track changes" mode which I'm still working on like a week and a half later, haha)
Even if you were already familiar with all that stuff, it's a lot of code to write to make it work! The stylesheets alone... Ugh! So glad I could tell the AI something like, "make sure it implements light and dark mode using VueUse's `useDark()` feature."
Almost all of my "cleanup" work was just telling it about CSS classes it missed when adding dark mode variants. In fact, most of my prompts are asking it to add features (why not?) or cleaning up the code (e.g. divide things into smaller, more concise files—all the LLMs really love to make big .vue files).
"Writing most of the code"? No. Telling it how to write the code with a robust architecture, using knowledge developed over two decades of coding experience: Yes.
I have to reject some things because they'd introduce security vulnerabilities but for the most part I'm satisfied with Claude Code spits out. GPT5, on the other hand... Everything needs careful inspection.