marv1nnnnn

I just fixed the local version.. My bad, totally missed it.If you are still interested, could try it again. About the scrping step, this project using crawl4ai to scrape. Suppose the url is https://xxx/yy/, it will only scrape https://xxx/yy/*. You could post it as a github issue, will try to fix it.

Thanks for your comments! Really helpful. I have seen some llms.txt like this: https://docs.agno.com/llms.txt which I don't think will help LLM in real tasks. Some background of this project is I think LLM performs better in abstraction than human do. Those AIME test scores are not joking.So maybe smart LLM don't have to communicate with another LLM in plain text, they have more efficient way to communicate. About the excessive token of LLM reasoning, I find it varies. Gemini 2.5 pro is really an overthinker, but claude 3.7 won't. Finaly, I think most vibe-coding task don't require deep understanding of how a package works. It's more like a information retrieval task, so a lot could be compressed.