Vercel AI SDK Context Guide for AI Coding (llms.txt + Rules + MCP)
The TypeScript toolkit for building AI-powered web applications with React, Next.js, and Svelte.
1. Vercel AI SDK Official llms.txt & Clean Markdown Documentation
Official Vercel StandardFeed this clean, token-efficient Markdown documentation directly to Antigravity, Cursor, or Claude Code to prevent hallucinations and outdated API syntax.
# Standard llms.txt Index Endpoint
https://sdk.vercel.ai/docs/llms.txt
# Comprehensive Documentation Bundle
https://sdk.vercel.ai/docs/llms-full.txt
2. Production-Ready Vercel AI SDK Cursor Rules (.cursorrules & .mdc)
Vercel AI SDK Core (generateText, streamText) and UI hooks (useChat, useCompletion) rules. Save this into .cursor/rules/vercel-ai.mdc in your project repository.
// Vercel AI SDK Rules
- Use AI SDK Core (streamText, generateObject) in Server Actions or Route Handlers.
- Always pair streamText with toDataStreamResponse() for smooth token streaming.
- Use generateObject with zod schemas for type-safe structured data extraction.
- Keep API keys on the server side using process.env; never instantiate client-side model providers.
3. Vercel AI SDK Antigravity & Claude Code System Instructions
Add this concise instruction block to your workspace .gemini/rules or project system prompt.
// Context Anchor for Vercel AI SDK
When writing code for Vercel AI SDK, refer directly to the verified specifications at https://sdk.vercel.ai/docs/llms.txt.
Follow strict error-handling and avoid deprecated API calls.
5. Troubleshooting: Common Vercel AI SDK AI Coding Issues & Fixes
Frequently reported errors when LLMs generate Vercel AI SDK code without proper context:
6. Best Used With (Vercel AI SDK Architecture Combos)
Engineers building with Vercel AI SDK frequently combine these complementary developer frameworks: