that's awesome. i love this line.
- https://x.com/bunjavascript/status/1971934734940098971
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I also love your future docs roadmap - it aligns with our roadmap and some things are already there! - API keys are locally cached across the API reference. Let me know if there are more fields you think would be convenient to cache and we can investigate. - Whichever programming language you choose for a code block should also sync across pages. - We also launched AI translations so you can support docs in any language! - We also have AI Chat and are planning on devoting more resources to it so that it's best in class.
Mintlify is building the modern standard for developer documentation. Our customers include the fastest growing AI companies such as X, Anthropic, Cursor, Perplexity, Scale AI, alongside 6000+ other companies.
As for the team, we're builders at heart. Our small-but-mighty team is going from 0 to 1, laying down the foundations, and scaling (yes, all of the above). We prioritize attention to detail and are passionate about building tasteful user experiences.
Mintlify is looking for an AI Engineer to help us build, train, and optimize the first applications of AI in our product.
As an AI Engineer, you will be working to fine-tune LLMs, create RAG pipelines, and understand model performance. You will work closely with the founding engineering team to integrate AI directly into our products.
Apply at https://mintlify.com/careers
It seems “obvious” to me that if you have a tool which can request a web page, you can make it so that this tool extracts the main content from the page’s HTML. Maybe there is something I’m missing here that makes this more difficult for LLMs, because before we had LLMs, this was considered an easy problem. It is surprising to me that the addition of LLMs has made this previously easy, efficient solution somehow unviable or inefficient.
I think we should also assume here that the web site is designed to be scraped this way—if you don’t, then “Accept: text/markdown” won’t work.