Fuzz Gate for AI-written code

An automated quality gate for vibe-coded teams, replacing manual code review

Problem

Builders describe companies trying to ship AI-generated apps to production, where engineering code review has become the new bottleneck and engineers don't enjoy doing it. Teams lack a way to catch crashes, N+1 queries, XSS and SQL injection without reading every line. The gap between AI output speed and human review capacity keeps widening.

Solution

A minimal automated pipeline: connect a GitHub repo, run mutation-style fuzzing and common security pattern scans on every change, and post a severity-ranked issue list with minimal reproducible cases. It doesn't replace full review, it just answers 'will this change blow up'.

Users

1-10 person SaaS teams, indie developers and studios shipping heavy AI-generated code

MVP

GitHub App that reads PR diffs; auto-generate requests for endpoints touched by the diff and fuzz them; built-in heuristics for XSS, SQL injection and N+1; a summary comment on the PR with reproduction steps; Node/TypeScript monolith support only

Revenue

Monthly subscription per repo (free tier with 50 runs/month) plus annual self-hosted license

Why now

AI coding has exploded commit volume while review capacity stayed flat; fuzzing infrastructure is now cheap enough for a solo builder to scope tightly to one stack