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> I think its fascinating just how much of a gap there is between what's being claimed, and the verifiable observable data of the open source world. According

> I think its fascinating just how much of a gap there is between what's being claimed, and the verifiable observable data of the open source world. According to this list of top Github repos by stars[1], of the top 10, nine of them are informational and one is OpenClaw, which certainly has plenty of AI generated code. The next 10 include react which has a CLAUDE.md and a .claude, and lots of landed PRs that look like AI. And linux, which, we all read Linus' stance. He sees the value. And superpowers, ECC, and hermes-agent. All of which are AI stuff. I think it would be reasonable to ask which major open source projects aren't using AI assistance? > Major open source projects are by and large starting to ban LLMs now, because the contributions made by LLM users have been universally terrible and unhelpful. That is not why. Or at least not the majority of it. The biggest part is that maintainers just can't keep up. They don't have time to do in depth reviews for the number of PRs coming in to find out if it: works, does what it says it does, meets a need, has docs, is well written, meets criteria, etc. That does not mean all those PRs are trash. Some might be trash, some might be gold. Just like human generated ones. What it comes down to is vibes. Anti-AI folk don't like AI for reasons (that are valid) and they don't want to find any value in it. So they don't. But lots of people are. Lots of really cool, interesting, clever, new software is being written and getting used and building communities but people see CLAUDE.md and go "slop, no thanks" and won't even give it a try. [1]: https://github.com/EvanLi/Github-Ranking/blob/master/Top100/Top-100-stars.md https://github.com/EvanLi/Github-Ranking/blob/master/Top100/...

20k 1mo ago
>I think it would be reasonable to ask which major open source projects aren't using AI assistance? Where are all the vast quantity of LLM commits for these open source projects, if these engineers are truly 10xing their productivity with LLM code generation? Because I regularly browse the source of many of these, and can find almost no evidence that LLM code generation is anywhere near the level of productivity being claimed for: 1. ImGui 2. SFML 3. SDL 4. GLFW 5. OpenSSL 6. Linux 7. GCC 8. Clang/LLVM 9. Libc++/libstdc++/msstl 10. Rust 11. Godot 12. Nlohmann 13. Boost 14. Python 15. GNU tools Etc etc. There are even more major projects, but these are just the critical ones I can think of off the top of my head. If you go for a browse though eg Godot, you might think that LLMs don't exist. In fact if you go for a browse through any of these, you might think that LLMs are borderline never used for code generation in the open source world. This is a diverse collection of random projects, and yet for some reason none of these have experienced a 10x increase in productivity in any form from any contributors from LLM code generation >That is not why. Or at least not the majority of it Its not the quantity, if maintainers were receiving incredibly high quality PRs that could just be merged, they'd be very happy. Godot is an example of a project that was initially pro LLM, and then had to about face because the PRs were just absolutely crap >Some might be trash, some might be gold Is there any evidence that any of these PRs have ever been gold?

20k 1mo ago

>I think it would be reasonable to ask which major open source projects aren't using AI assistance? Where are all the vast quantity of LLM commits for these open source projects, if these engineers are truly 10xing their productivity with LLM code generation? Because I regularly browse the source of many of these, and can find almost no evidence that LLM code generation is anywhere near the level of productivity being claimed for: 1. ImGui 2. SFML 3. SDL 4. GLFW 5. OpenSSL 6. Linux 7. GCC 8. Clang/LLVM 9. Libc++/libstdc++/msstl 10. Rust 11. Godot 12. Nlohmann 13. Boost 14. Python 15. GNU tools Etc etc. There are even more major projects, but these are just the critical ones I can think of off the top of my head. If you go for a browse though eg Godot, you might think that LLMs don't exist. In fact if you go for a browse through any of these, you might think that LLMs are borderline never used for code generation in the open source world. This is a diverse collection of random projects, and yet for some reason none of these have experienced a 10x increase in productivity in any form from any contributors from LLM code generation >That is not why. Or at least not the majority of it Its not the quantity, if maintainers were receiving incredibly high quality PRs that could just be merged, they'd be very happy. Godot is an example of a project that was initially pro LLM, and then had to about face because the PRs were just absolutely crap >Some might be trash, some might be gold Is there any evidence that any of these PRs have ever been gold?