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Sure, they can build “anything”, but the quality is not good. I have recently played a few vibecoded games I found on F-Droid and the implementation sucked.
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LLMs could write perfect code in 2 seconds every time and you'll still be on the hook for figuring out what makes something fun to play and nice to use. In fact maybe even more on the hook since you wouldn't get to procrastinate by working so much on impl details.
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But what are you throwing at it?

I've thrown a 20 year old .net 4.8 codebase that's a mixture of proprietary sdks and legacy code and LLMs choke. Building some greenfield pieces for the same application works great so far though.

I've also made some plugins for some hobby software with very limited viewing of source code that I'm very happy with.

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people get AI psychosis because they see tailwind-infused gradient dashboards and think every codebase has much smaller problems than this, so AI can build everything else

we have a 6 year old codebase with pretty much everything proprietary and there's no AI that can keep up without having an entire team to create an in-house RAG and throw thousands per day in tokens and spend expensive developer time on reviewing and asking for stupid changes that don't fit in

these arguments would make much more sense if tokens were practically free and LLMs could run in pc graphics cards, but when the model requires a data center that can be seen in space just to give you 100 tokens per second then you're basically a car in 1900 when all the roads were dirt roads for horses

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