Comment by vatsachak

I really wish that LLMs could generate good quality code without repeated instructing.

Here's where I think the issue is; they are trained to solve a problem. Not how, just whether or not they did.

Example: I asked Luna to use parser combinators to parse an Excel sheet that was represented as sparse triples (row, column, data). It imported the library and wrote spaghetti if-statement soup to get it to work. I asked Astra to fix it and it just refined the spaghetti slightly. I was able to browbeat Astra into actually using the library to complete the task. Was it faster than me doing it by hand? Probably. Was it more frustrating? Way more.

And every time I review vibe code it's always the same. Bespoke functions everywhere, no greater themes or ideas. No bigger picture. Your code can't support much if it has no central themes. You can probably one-shot a three js game to post on r/singularity for updoots. Not real code though.

I feel like the optimal way to use an LLM is to code until you feel like the rest of a problem is trivial and then you hand it off. And sometimes they still erase my code and add their own style lol