🤖 AI Summary
Svelte has adopted the llms.txt convention to expose its documentation in LLM-friendly formats, publishing root-level files like /llms.txt (index), /llms-full.txt (complete docs for Svelte, SvelteKit and the CLI), /llms-medium.txt (compressed for medium context windows) and /llms-small.txt (highly compressed for small windows), plus package-level documentation. The /llms.txt file lists available variants so tools and agents can automatically discover and fetch the appropriate doc slice for their model’s context capacity.
This matters because it makes authoritative, versioned framework docs directly usable by LLMs and LLM-driven apps—improving retrieval-augmented generation (RAG), reducing hallucinations, and streamlining toolchains for code assistance, automated refactoring, and tutorial generation. Practically, developers can choose a full dump for vector indexing and fine-tuning, a medium file for few-shot prompting, or a small file for low-memory local models and faster in-context lookups. The simple naming and discovery pattern also enables agents to programmatically select doc granularity, cache updates, and integrate package-level details without fragile scraping—an infrastructural step toward more reliable, maintainable AI-driven developer tooling.
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