Comment by roncesvalles

There is a difference between wanton "vibecoding" and AI-assisted coding.

The latter still gives you many-X productivity improvement while the quality is pretty close to handwritten code.

LLMs are still not good enough where you can unleash it upon a huge codebase and get good results btw. Quality goes to shit once a context uses up around 50k-100k tokens. That's often only enough for one feature change and whatever validation the LLM wants to do for it.

It's fair to say that most new software is written with AI help, but that doesn't mean someone just prompted a few things and pressed deploy.