Vibe Code Audit
Your app was written by AI. Before releasing it to real users, let it face the pipeline built for exactly this.
Products get built over a weekend now: describe the task — the model writes the code — the code runs. But running is not the same as safe. Recent studies show that 45% of AI-generated code contains vulnerabilities, and one in three such projects ships with a hole open to anyone who simply follows the link. A single model cannot see its own mistakes. Catching them takes an outside view.
This audit is for founders who built their product with Cursor, Lovable, Bolt, Replit, or straight in a chat with an AI. And for teams whose prototype has grown into real users and real money.
How the review works
Strict typing and static analysis go through the code first. They clear the surface noise so the next layer spends its attention on real defects.
Four different models walk the code in sequence, each from scratch and each with its own task: the change plan, the hunt for risks, guarding the task boundaries, compressing to the minimal sufficient action. Every model has its own blind spots — what one misses lies in plain sight for another.
Every finding is verified by running the code: tests are written for your project and driven to green. Here the word "works" is backed by the number of passing tests, not by an impression.
The methodology is published in the open — whitepaper, repository, and DOI are available to everyone: ConsciousAI Protocol. You pay for a described, verifiable process — not for a promise.
What you get
- A report where every finding has its exact place in the code, a severity level, and a way to fix it. Plain language first, technical detail second.
- An order of work: what to fix immediately, what to fix before launch, what can wait.
- After your fixes — a re-check of the critical findings, at no extra cost.
Living proof
The same pipeline produced quantarion-router — 1,211 lines of production code, 124 passing tests, strict typing, zero required dependencies. And a control review of that library by the four voices found 8 defects in one hour — in code that looked finished. That is what an outside view does.
Pricing
Up to 5,000 lines: an MVP, a landing page with logic, a bot, one coherent feature. Report within 48 hours.
A product of 5,000–25,000 lines: several features, a database, payments, integrations. Report in 3–4 days.
Over 25,000 lines, or a pre-launch and investor-facing review. Scope and timing quoted by volume.
The exact price comes after a free assessment: send the project, and within a day you receive the tier, the sum, and the deadline. And one rule holds on every tier: if the audit finds not a single significant issue — you do not pay.
How to order
Write on Telegram — @quantareon — and send a link to the repository or an archive of the project. You will hear back the same day.
Need development from scratch rather than an audit? A turnkey module that passes this same pipeline — discuss it there as well. About the laboratory and the engine itself — QUANTAREON Labs.
The first impulse is noise. The second is signal.