Developer Documentation Search
Stop your AI coding assistant from hallucinating outdated patterns and wrong APIs. Index your framework documentation and get accurate, version-specific answers while you code. Real documentation, real answers.
The Problem
AI coding assistants are trained on historical data. When you ask about a specific framework or library, they often provide outdated information, deprecated APIs, or patterns that don't work with current versions.
Worse, they present this incorrect information with confidence. You implement their suggestions, hit errors, and spend time debugging code that was wrong from the start. The productivity gains from AI disappear into fact-checking.
Common Frustrations
- "The AI suggested using a method that doesn't exist in this version"
- "This code pattern was deprecated two major versions ago"
- "The API changed and the AI doesn't know about it"
The Solution
Yavy indexes your actual documentation and makes it searchable via MCP or exportable as portable Skills. When your AI assistant needs information about a framework, it gets current, accurate answers from the real docs.
The AI's responses are grounded in documentation you trust. Every answer includes source attribution, so you can verify information and explore further. No more guessing whether the AI is making things up.
What Changes
- "The answer came directly from the v12 documentation"
- "I can see exactly which page this code pattern is from"
- "The AI knows about the latest API changes because the docs are indexed"
Why Developers Love Yavy
Benefits that make a real difference in your workflow
Always Current
AI training data gets stale. Your indexed documentation is always up-to-date with the latest API changes and best practices.
Version Specific
Index the exact version of documentation you're using. No more answers based on deprecated features or future APIs.
Source Attribution
Every answer includes links to the original documentation. Verify information and learn more with one click.
Multiple Sources
Index documentation for your entire stack. React, Node.js, Tailwind, Stripe - all searchable from one AI assistant.
Real Examples
How indexed documentation improves AI responses
You ask:
"How do I set up API routes with middleware?"
Get the exact Next.js 14+ syntax, not outdated patterns from earlier versions.
You ask:
"What's the best way to handle form state?"
Answers based on current React 18+ patterns, not class components from 2018.
You ask:
"How do I add dark mode support?"
Tailwind v4 configuration, not v2/v3 syntax that won't work in your project.
You ask:
"How do I set up subscription webhooks?"
Current API endpoints and payload structures, not deprecated versions.
How It Works
Get started in three simple steps
Index Your Docs
Add documentation URLs for every framework and library you use. Yavy automatically discovers and indexes all pages.
Connect Your AI
Connect via MCP server for live search, or generate Skills packages for offline use in your IDE.
Code with Confidence
Ask your AI assistant about any documented feature. Get accurate, sourced answers based on real documentation.
Pro tip: Use the Yavy CLI (npm install -g @yavydev/cli) to generate Skills packages for developer documentation - they live in your repo, work offline, and integrate directly with CI/CD pipelines.
What Documentation Should You Index?
Think about every framework, library, and API you use in your daily work. Each one is a candidate for indexing. The more documentation your AI can access, the more accurate its suggestions become.
- Framework documentation
Next.js, Rails, Django, Express, etc.
- Library references
React, Vue, Tailwind, Prisma, etc.
- API documentation
Stripe, Twilio, AWS, GitHub, etc.
- Internal documentation
Company APIs, coding standards, architecture docs