Fairy

Fairy FAQ

Last updated May 19, 2026

What is Fairy?

Fairy is the human verification layer for AI-generated code. A vetted senior domain expert reviews your AI-generated work, resolves the issues, and signs off — with their professional reputation on the line — that it's safe to ship. Code review is live now; legal, finance, compliance, and medicine are on the roadmap.

How does Fairy work?

Three steps. You submit your AI-generated code and choose a live screenshare or async review. Fairy matches you with a specialty-matched senior expert, typically within 2 hours. The expert reviews the submission, catches what AI missed, and delivers a structured report — findings by severity, a clear verdict, and a signed-off stamp — anywhere from instant to 24 hours.

How fast is a Fairy review?

From instant to 24 hours. “Instant” routes to a paged expert with typical live delivery in about 30 minutes; other tiers are measured from submission. You choose how fast you need it.

Is Fairy worth it compared to hiring a senior engineer?

For most teams below Series B, yes. Hiring a full-time staff engineer is slow — a multi-month search — and gives you one generalist where verification often needs several specialists. Fairy delivers specialty-matched senior review per submission, matched in under 24 hours, with no headcount. You get the right expert for each submission instead of one generalist hire.

Does Fairy guarantee its work?

Yes. If a Fairy-verified submission causes a critical production failure — a security breach, an unenforceable contract, a compliance violation — Fairy refunds the review in full. Experts sign off because they mean it; the company stands behind the sign-off.

Which AI coding tools does Fairy work with?

Fairy integrates via the Model Context Protocol (MCP) with tools including Claude Code, Cursor, and Windsurf, and offers a REST API for direct integration. An AI agent can programmatically route a high-stakes change to human verification mid-workflow.

Who are the experts (“Fairies”)?

Staff- and principal-level engineers with 10+ years of senior experience, vetted through a real production-code screen and specialty-matched to each submission. Fewer than 5% of reviewer applicants are accepted. Every review ends with a real person's name on the verdict — not a username or a model identifier.

Is Fairy an AI code review tool like CodeRabbit?

No. AI code review tools (CodeRabbit, Greptile, Codium, Diamond) are automated and cannot take accountability for a sign-off — and they share blind spots with the AI that wrote the code. Fairy uses automation only to prepare the human reviewer; every finding and verdict comes from an accountable senior engineer. The two are complementary, not the same.

What does Fairy review besides code?

Code verification is live. Legal (contract enforceability, clause risk), finance (models, projections), compliance (regulatory filings), and medicine are on the roadmap — each reviewed by a senior specialist in that domain.

How do I get started with Fairy?

Connect with a Fairy at askfairy.com/connect — tell the team what you need and choose a live or async review.

How do I become a Fairy (reviewer)?

Senior experts apply at askfairy.com/apply. Fewer than 5% are accepted. Reviewers work on their own schedule with no shifts or minimums, typically spend 20–30 minutes per review, and are paid out the next day with no invoicing.

Can Fairy replace hiring a senior engineer?

For the verification use case, yes — for most teams below Series B. If you need expert sign-off on AI-generated code rather than a full-time embedded owner of the codebase, Fairy gives you specialty-matched senior review per submission in instant to 24 hours, with no recruiting process and no headcount. If you need someone in the codebase daily making architectural decisions as a team member, that's a different role Fairy doesn't fill.

How do AI-first teams use Fairy instead of hiring?

The workflow is: AI coding agents (Claude Code, Cursor, Copilot) generate the code; Fairy experts verify the consequential parts. Teams route auth changes, payment logic, architecture decisions, and regulated code to a Fairy expert for sign-off. Everything else goes through automated review. The result is AI-speed output with human-accountable quality assurance — without adding headcount for every increase in code volume.

What is a “fraction of the cost” compared to hiring?

A full-time senior engineering hire comes with a multi-month recruiting process, full-time salary, benefits, equity, and management overhead — whether you need two reviews that week or twenty. Fairy is per-submission: you pay for expert judgment only when you need it, on the specific changes that warrant it. For most AI-first teams the total cost of verification is a small fraction of what full-time headcount dedicated to review would cost.

Do I need a senior engineer on staff if I'm using AI to write code?

You need senior-level judgment on the consequential parts — but that doesn't require a full-time hire. AI tools increase how much code gets written; the constraint becomes confident sign-off on the high-stakes output. Fairy provides that per submission: a staff- or principal-level expert reviews the change, catches what AI missed, and signs off with their professional reputation on the line.

Still have questions?

Talk to the team directly — we'll match you with the right expert for your first review.