Staff engineers. Real sign-off. Refund if something breaks.

AI writes the code.
We put our name on it.

Warrant is human-verified code review for AI-generated pull requests. A staff-level engineer reads every line, signs off, and backs it with a refund guarantee. If we miss something, we fix it — on us.

Staff+ engineers from FAANG & top AI labs
24-hour SLA — or your money back
Refund if our approval causes a production incident

How it works

Three steps from submission to signed-off PR.

01

Submit your PR

Drop in a GitHub pull request written with Claude Code, Cursor, Copilot, or any AI tool. Pick a review tier. We match it to an engineer with the right domain expertise.

02

Staff engineer reviews

A staff or principal engineer — with 10+ years of production experience at strong companies — reads every line. Not an AI. A person with skin in the game.

03

Structured sign-off

You get a full report: verdict, findings, and a personal sign-off with the reviewer's name on it. If anything we approved causes a production incident, we refund the review and help fix it.

The Guarantee

If we approve it and something breaks, we refund the review — and fix it on us.

This is not a marketing tagline. It's the structural core of the product. Every other code review tool sells a review. We sell accountability. If a Fairy-verified PR introduces a critical bug or security vulnerability in production, we refund the review fee and a senior engineer works the incident with you until it's resolved.

No other review tool makes this promise. None of them can — they review with AI. We review with humans who put their name on the line.

Fixed price. No seat licenses.

Pay per review. Scale up or down. No long-term commitment.

Quick Review

Bugs and obvious issues

$200

per PR — 24h delivery

Security-Focused

Threat modeling, auth audit, dependency scan

$1,000

per PR — 24h delivery

All tiers include the production incident refund guarantee. Speed multipliers available (12h, 4h, instant).

The verification gap is not a tooling problem.
It's an accountability problem.

Every week, more code ships from AI tools with less human review behind it. The systems we built to catch bugs don't scale with this generation rate. AI reviewing AI doesn't close the gap — it just makes it faster. The only thing that closes the gap is a human who can be held responsible for what they approved.

That's what we built. That's Warrant.