LLM-docs, software documentation intended for consumption by LLMs
I was inspired by a recent tweet by Andrej Karpathy, as well as my own experience copying and pasting a bunch of html docs into Claude yesterday and bemoaning how long-winded and poorly formatted it was. I’m trying to decide if I should make it into a full-fledged service and completely automate the process of generating the distilled documentation. Problem is that it would cost a lot in API tokens and wouldn’t generate any revenue (plus it would have to be updated as documentation changes significantly). Maybe Anthropic wants to fund it as a public good? Let me know!
LLM-docs, software documentation intended for consumption by LLMs launched on March 14, 2025 with 28 votes, #678 of 7,215 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
LLM-docs is a documentation tool designed for large language models to consume software documentation more efficiently. It addresses the problem of verbose, poorly formatted HTML documentation by creating condensed, optimized versions suitable for LLM processing. The tool targets developers and AI researchers who frequently feed documentation into language models like Claude. It streamlines what would otherwise require manual copying and pasting of lengthy documentation into LLMs.
written from the facts on this page · September 2026
From the sources
Condensed, LLM-optimized documentation for popular Python packages: stripped of fluff to maximize context window efficiency - Dicklesworthstone/llm-docs
LLM-Docs provides condensed, optimized documentation specifically tailored for efficient consumption by Large Language Models (LLMs). Traditional documentation, primarily designed for humans, often includes redundant content, extraneous formatting, and promotional material that unnecessarily occupies valuable context window space in LLMs. This project aims to create streamlined documentation, maximizing the efficiency and effectiveness of LLM-assisted programming tasks. Just had an interesting idea for a useful service: go through all the python packages available from pip, in order of popularity. For each one, take the full, latest documentation website and feed it into Claude 3.7, section…from github.com
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