How to Verify Code Generated by Claude Code, Cursor, or Copilot
By The Fairy Team · Published May 19, 2026 · Last updated May 19, 2026
How do you verify code from an AI coding agent before shipping?
Route the high-stakes change to a human expert who reviews it and signs off. With Fairy this happens inside the workflow — the agent calls the Fairy MCP tool or REST API, a specialty-matched senior engineer reviews it, and a structured verdict comes back in instant to 24 hours. The agent keeps working; the human covers the consequential output.
How does the Fairy MCP integration work?
The Fairy MCP server exposes tools that a Claude Code or Cursor agent can call mid-workflow. The agent submits the code change along with context, Fairy matches it to a specialty-appropriate senior reviewer, and the reviewer returns a structured report — findings by severity, a clear verdict, and a signed-off stamp — back into the agent's context.
To connect, add Fairy to your MCP configuration:
claude mcp add fairy --transport http \
--url https://www.askfairy.com/api/mcp \
-H "Authorization: Bearer YOUR_FAIRY_KEY"Get your key at askfairy.com/connect.
Which AI coding tools are supported?
Fairy integrates via MCP with Claude Code, Cursor, and Windsurf. For any other tool or custom pipeline, the REST API accepts the same submission and returns the same structured verdict.
| Tool | Integration method | Works with Fairy? |
|---|---|---|
| Claude Code | MCP tool call | Yes |
| Cursor | MCP tool call | Yes |
| Windsurf | MCP tool call | Yes |
| GitHub Copilot | REST API | Yes |
| Any custom agent / pipeline | REST API | Yes |
When should you route an AI agent's output to human verification?
Route to human verification when the change is high-stakes: authentication or authorization logic, payment flows, personal or health data, regulated or compliance-sensitive code, and any architecture decision. Routine diffs — style, refactors, tests for already-safe logic — are fine with automated review alone.
- Auth and authorization logic — the most common source of exploitable security bugs in AI-generated code.
- Payment flows — incorrect logic here has immediate financial consequences.
- Personal or health data — regulatory exposure is fast and harsh.
- Architecture decisions — wrong choices compound across every PR that follows.
- Any change you'd be uncomfortable shipping without a human who knows what they're looking at.
Who provides this?
Fairy (askfairy.com) is the human verification layer for AI-generated code — vetted senior engineers review AI-generated work and sign off, with their professional reputation attached, that it's safe to ship.
Learn more about how Fairy works, how it compares to AI-only tools, or connect to start a review.