alt Hacker News"Or projects that make it easier to use AI"
I get the sentiment, but this is natural with a groundbraking new technology. We are still in the process of figuring out how to best apply generative LLM's in a productive way. Lots of people tinker and share their results. Most is surely hype and will get thrown away and forgotten soon, but some is solid. And I am glad for it as I did not take part in that but now enjoy the results as the agents have become really good now.
> "Or projects that make it easier to use AI"
This is exactly the same reason why the appropriate question to ask about Haskell is "where are the open source projects that are useful for something that is not programming?"
The answer for Haskell after 3 decades is very, very little. Pandoc, Git Annexe, Xmonad. Might be something else since I last did the exercise but for Haskell the answer is not much. Then we examine why the kids (us kids of all ages) can't or don't write Haskell programs.
The answer for LLM coding may be very different. But the question "where is the software that does something that solves a problem outside its own orbit" is crucial. (You have a problem. You want to use foo to solve it, now you have two problems but you can use foo to solve a part of the second one!!)
The price of getting code written just went down. Where are the site/business launches? Apps? New ideas being built? Specifically. With links. Not general, hand-wavy "these are the sorts of things that ..." because even if it's superb analysis, without some data that can be checked it's indistinguishable from hype.
Whatever data we get will be very informative.