fastcore llms.txt

fastcore.fast.ai/llms.txt

What is fastcore's llms.txt?

fastcore publishes an /llms.txt file that provides AI systems with a structured index of its documentation. It follows the llms.txt specification, organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what fastcore offers and where to find details.

Pass
Spec
3
Sections
14
Links
3.7 KB
Size
~938
Tokens

Sections: Tutorials · API · Optional

Add fastcore Docs to Your AI Assistant

Select your tool to see how to add fastcore's llms.txt as a documentation source.

  1. 1

    Open any chat or composer panel

  2. 2

    Type @Docs and select "Add new doc"

  3. 3

    Paste the URL: https://fastcore.fast.ai/llms.txt

  4. 4

    Wait for the green dot (indexing complete)

  5. 5

    Reference @Docs in chat when asking about fastcore

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

Frequently Asked Questions

fastcore publishes its llms.txt at https://fastcore.fast.ai/llms.txt. This file provides a structured, markdown-formatted index of fastcore's documentation that AI systems can consume to understand the project's APIs, guides, and references.

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of fastcore's documentation so it can provide better code suggestions and answers about fastcore.

fastcore's llms.txt contains 3 sections and 14 documentation links in 3.7 KB (~938 tokens). Key sections include Tutorials, API, Optional.

The concise llms.txt index is approximately 938 tokens (3.7 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

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