Version-Specific Documentation: Why Your AI Coding Assistant Gets It Wrong

Your AI assistant just built you an agent. Clean code, right structure, reasonable-looking tool definitions. You run it — nothing works. An hour later, you discover that Experimental_Agent was renamed to ToolLoopAgent in the AI SDK version you're using. And system is now instructions. And parameters is now inputSchema.

The error message didn't say any of that. It just said something vague about undefined properties. So you spent an hour debugging your agent's logic when the bug was actually a renamed class.

This happens constantly. And it's not a hallucination — your assistant generated code that was correct. In AI SDK v5. You're on v6.

It's not the model. It's the data.

Your assistant doesn't know what version you're running. Here's why the suggestions are wrong:

• Training data blends every version together. The AI SDK shipped three major architectural shifts from v3 to v6. All of them are in training data, mixed together with no version labels. Your assistant learned patterns from all three eras at once.
• Cloud doc services index the latest version. If you're pinned to ai@5.x but the service indexed v6, every answer you get is from the wrong API. It works the other way too — if you're on v6 but the service is behind, you still get v5 answers.
• Blog posts and tutorials don't say which version they're for. A 2025 post using generateObject looks identical to a 2026 post using the new generateText + output pattern. generateObject was deprecated in v6 and your assistant has no way to know that from its training data alone.

The AI SDK is a perfect case study

The agent pattern changed with every major release. Ask your assistant: "How do I build a multi-step agent that calls tools?"

• v3/v4: Write a manual loop — generateText with maxSteps, manage each step yourself
• v5: new Experimental_Agent({ system: "...", tools }) — note the experimental prefix
• v6: new ToolLoopAgent({ instructions: "...", tools }) — stable, renamed, different param name

Three correct answers, three incompatible versions. Without knowing which you're on, your assistant picks one and gets it wrong two-thirds of the time.

The rest of the API has the same problem:

• parameters / result → inputSchema / output — tool definitions changed shape; old field names fail silently with no error
• generateObject deprecated — still runs, but warns; breaks in the next major version
• useChat append() → sendMessage() — plus the hook now expects you to manage input state yourself

Silent failures are the cruelest kind. When a renamed field breaks your tool calls without throwing an error, you debug your agent's behavior for an hour before you even think to check the SDK changelog.

The fix: docs pinned to your actual version

Your assistant gives the right answer when it has the right docs. Without version-pinned docs, it generates this:

// what your assistant produces from its training mix
const agent = new Experimental_Agent({
  system: "You are a helpful assistant.",
  tools: { search: { parameters: z.object({ query: z.string() }), ... } },
});

With v6 docs indexed, it generates this instead:

// what it produces with AI SDK v6.0.86 docs
const agent = new ToolLoopAgent({
  instructions: "You are a helpful assistant.",
  tools: { search: tool({ inputSchema: z.object({ query: z.string() }), ... }) },
});

Same question. Right answer, because it's reading from the right docs.

@neuledge/context indexes docs from a specific Git tag and serves them to your AI assistant via MCP. Two commands:

context add https://github.com/vercel/ai --tag v6.0.86
npx @neuledge/context mcp

After that, when you ask about building an agent, your assistant reads v6 docs and generates ToolLoopAgent with instructions and inputSchema — not whatever blend of versions it was trained on.

Works for any fast-moving library. React Router. Next.js App Router. Tailwind CSS. Anything where the API today isn't the API from a year ago.

See our step-by-step tutorial for editor setup (Claude Code, Cursor, VS Code, Windsurf).

What about cloud documentation services?

They solve a real problem — zero-setup access to docs your assistant wouldn't have otherwise. But most serve only the latest version. If you're on v5 and the service indexed v6, you still get the wrong answers. The version lag cuts both ways.

For production codebases pinned to a specific version, local version-pinned docs are the cleaner solution. See our comparison page for the full breakdown.

Get started

If your AI-generated agentic code keeps using old patterns — Experimental_Agent when ToolLoopAgent exists, parameters when the field is now inputSchema — three commands fix it:

npm install -g @neuledge/context
context add https://github.com/vercel/ai --tag v6.0.86
claude mcp add context -- npx @neuledge/context mcp

• Getting started tutorial — full setup walkthrough
• Documentation — quick start and CLI reference
• Compare alternatives — cloud services vs local version-pinned docs
• GitHub repo — source, issues, and CLI reference