Human review for AI-built apps
It works.
Is it safe?
We review AI‑built apps for the security and structural risks you didn't know were there.
Apply for a VibeCheck.
The problem
AI tools have made it possible for anyone to build working software. That is genuinely remarkable. But working is not the same as trustworthy. Generated code can look finished long before it is production-ready, and the risks it carries — security gaps, bad data decisions, logic no one can maintain — stay invisible right up until they aren't.
The problem is not that you used AI. The problem is that AI cannot be accountable for what happens after you ship.
- — Auth that appears to work but lets the wrong users access the wrong records
- — Database structure that becomes painful and expensive after the first thousand users
- — Business logic spread across too many places to change safely
- — Code that solves the prompt but ignores what production actually demands
- — Apps that become brittle, expensive, or insecure exactly when traction arrives
The specifics
The failure modes that do not announce themselves
These are not edge cases. They show up in most AI-generated apps built without a human in the loop.
Security holes
An app can look polished and still mishandle authentication, permissions, secrets, or user data. Generated code follows patterns that work in demos, not necessarily in production.
Why it matters: These issues stay invisible until someone accesses data they should never be able to reach.
Fragile architecture
Logic stitched together across files and layers with no clear ownership. Each new feature makes the system harder to reason about, test, or change without breaking something else.
Why it matters: What starts as a prototype constraint becomes a ceiling on how far your product can go.
Scaling bottlenecks
Database queries that work for ten users but collapse at ten thousand. Designs optimized for the happy path, not for volume, load, or concurrent access.
Why it matters: Scaling problems surface at the worst possible moment — when growth arrives.
Fragile integrations
Third-party APIs, webhooks, and external services wired up without handling errors, retries, or unexpected states. These fail quietly and infrequently, which makes them difficult to diagnose.
Why it matters: Silent failures erode user trust before you know there is a problem.
Unmaintainable code
Code that works now but cannot be safely extended, debugged by a new contributor, or handed off. Generated code is often optimized for completion, not for the people who will live with it.
Why it matters: Technical debt in AI-generated code compounds faster than in hand-written code, because no one built the mental model along the way.
Data exposure risks
User data returned in API responses that should be filtered. Logs that capture sensitive fields. Backup configurations that are publicly accessible. Oversights that are obvious in review and invisible in development.
Why it matters: Data incidents are not just technical problems — they are trust problems with lasting consequences.
The service
VibeCheck — the human between "it works" and "it's safe"
A VibeCheck is a structured human review of your AI-built app. Engineers who read your code, understand your product, and tell you plainly what is solid and what is not.
The review is where it starts. From there, we can fix what we found and stay with you as your product grows.
- ✓ Review your architecture decisions and the tradeoffs you are living with
- ✓ Identify security and data risks before they become incidents
- ✓ Flag scaling and maintainability issues while they are still cheap to fix
- ✓ Prioritize what to address first, in plain English
The process
How a VibeCheck works
Low-stakes, no commitment. Starts with a conversation.
Tell us about your app
Share a short description and what you are most concerned about. No formatting required, no codebase access needed to start.
We have a conversation
A 30-minute call with an engineer who has read what you sent. We ask questions, you get a read on what actually matters — and what probably does not.
You leave with clarity
What is solid, what is fragile, and what to do about it — in plain language. No jargon, no generic checklist, no vague warnings.
We can take it from here
Address findings yourself, bring in a contractor, or engage us. We offer hands-on fixing and ongoing consulting — as much or as little as you need.
FAQ
What founders usually ask
Is this right for me?
You're a great fit if you're a solo non-technical founder trying to go from idea to first version. Maybe you've been experimenting with AI coding tools but aren't sure what to build next, or you've hit a wall and need someone to unstick you. If you already have a technical co-founder or engineering team handling your product development, you probably don't need us. And if you're still in the "just thinking about it" phase with nothing started yet, let's connect once you're ready to actually build — we support builders in motion, not ideas on paper.
What does a review cover?
Security, data handling, architecture, and scaling risks. We focus on the areas where AI-generated code most commonly creates problems — authentication, access control, database design, error handling, and maintainability. We prioritize based on what you are actually shipping, not a generic checklist.
How long does it take?
A VibeCheck starts with a 30-minute call. Many founders get actionable clarity from that conversation alone. If a deeper look is warranted, we discuss what that would involve.
My app was built almost entirely by AI. Is that a problem?
That is exactly the use case we designed for. You do not need to explain or justify how the app was built — what matters is where it stands now and what the real risks are.
Do you fix the issues you find?
We can, but that depends on what you need. After your VibeCheck, you can address findings yourself, hand them to a contractor, or engage us. We offer hands-on fixing and ongoing consulting — as much or as little as makes sense for where you are.
How much does it cost?
Pricing is not yet public. We are running an early intake program to establish scope and fit. If you join the waitlist, we will follow up directly with details.
What do I need to share with you?
Access to your codebase — a private GitHub repo is the most common — along with a short description of what the app does and what you are most concerned about. No special preparation required. We work with what you have.
Apply now
Build fast.
Review carefully.
For non-technical builders who want speed without blind spots.