Using with AI assistants
Point Claude, Cursor, Copilot, Codex and other LLM-powered tools at the react-sketch-canvas docs.
If you are pairing with an AI assistant, giving it the docs up front saves a lot of guesswork about props, refs, and export APIs. This site publishes documentation in the llms.txt format so tools can fetch it directly.
What is llms.txt?
llms.txt is a small convention for making documentation easy for LLMs to consume. A site exposes two files at well-known paths:
/llms.txt: a short, structured index of every docs page with links./llms-full.txt: the full text of the docs concatenated into one file, ready to drop into a context window.
Most assistants will follow the links in llms.txt themselves; for tools without web access, paste llms-full.txt once and the assistant has the whole reference.
Learn more at llmstxt.org, the community-curated directory at github.com/AnswerDotAI/llms-txt, and the llms.txt getting-started guide on llmstxthub.
Project note
Version 8 of React Sketch Canvas was built with help from AI coding assistants, including Claude Code and Codex. I reviewed, tested, and shipped the changes, but the workflow leaned heavily on model-generated implementation work.
If you are curious about that style of development, Simon Willison's Agentic Engineering Patterns is a useful overview.