I keep running into this. It's nice seeing others here struggle. I guess when all your doing is one-shot simple trivial tasks who cares. I've found they're great for that. But once I need to do real work, everybody makes their own esoteric abandonware that kinda works but kinda doesn't. Stars aren't a perfect indicator, but I haven't seen anything over a few hundred for these things I'm finding on GitHub. Same with downloads of plugins. It was very isolating feeling like I'm the only one not enamored by the state of this.

Same here. I have a feeling that once the AI hype cycle blows over to a degree (not that it will go away, just calm down), we'll be left with an enhanced version of pre-boom development. LLMs are hitting a dead end. I'm not convinced they can be bandaid-fixed to become AGI or SI or whatever the cool new trendy term is. They're good at many things, but sustaining a lean and directed software project's architecture over long periods of time doesn't seem to be one of them. That still remains to be further proven over time, but I've already seen plenty of examples of this.

Also, "esoteric abandonware" is a great way to put it. I keep looking for solutions to problems, finding dead projects that haven't been committed to in months, they have all the indicators of AI slopification (the primary one for me being emoji-filled READMEs). I don't think these types of projects will be around for the long-haul. These projects are just as much about community and people as they are about code. And people are much less likely to care about a short-lived project that doesn't have the backing of people that intuitively understand the internals of it. It's like building on sand.

Personally, I've decided that allowing the "agents" (these buzzwords are quickly becoming pet peeves of mine) to write the code for me is a bad idea, because the faster the LLM constructs architecture than I can, the less I'm absorbing the details of it, and the less likely I am to intuit obvious shortcomings. They do help me work much faster than before though, because I still use them like a research/learning assistant chatbot. Learning what I'm doing wrong faster, while still being the one putting the pieces together, is very great.

A perfect polished artifact is not important. Every person can just vibe their own good enough solution. And that’s fine.