--- title: "AI-Built App Audit & Vibe-Coded App Validation | George Rios" description: "Audit and validation for vibe-coded and AI-built apps. George Rios checks eight areas where AI-built apps fail later (secrets, access, personal data, outages, backups, growth) and makes them production-grade without a rewrite. Free 5-minute check, then a 30-day Architecture Discovery." url: https://georgerios.com/ai-app-audit author: George Rios --- AI-Built App Audit & Validation # An audit for apps built with AI, before your customers find the gaps You shipped in weeks what used to take a team months, with Cursor, Claude, Lovable, Bolt, or a contractor using them. Now customers, partners, or investors depend on it. I audit vibe-coded and AI-built applications for security, reliability, and scalability, show you the evidence, and make them production-grade without a rewrite. [Take the free 5-minute check ](https://viberealitycheck.com/) [Book an audit call ](https://cal.com/georgerios/30min) At a glance ## From “it works” to “we can depend on it” AI coding tools are very good at getting to a working app. They aren’t good at the things that fail later, quietly, after real customers arrive. The audit finds those, with evidence, and keeps everything that already works. | Who it’s for | Founders and companies running an app built with AI coding tools, or by a contractor who used them, that customers, partners, or investors now depend on. | | -------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | | What’s checked | Eight areas: secrets, environments, access, personal data, outages, handoffs, backups, and growth. | | How it starts | A free 5-minute self-check at [viberealitycheck.com](https://viberealitycheck.com/). No code access, no scan, no email required to see results. | | What you get | A map of the system, hands-on findings with evidence, and a prioritized plan: what to fix first, what can wait, and what doesn’t need a rebuild. | | What it isn’t | A rewrite, a slide deck, or an automated scan with a score. I read the code and test the system. | What I check ## The eight places AI-built apps fail later None of these show up in a demo. All of them show up eventually: in a customer security review, a traffic spike, an outage, or the day the person who built it leaves. 01 · Secrets ### Leaked secrets API keys, database credentials, and tokens in the repo, in client-side code, or in a chat history, and whether any of them still work. 02 · Environments ### Test data touching real customers Development, staging, and production that share a database, keys, or email sender, so a test can reach a real customer. 03 · Access ### Over-broad access Users who can read other users’ records, admin routes guarded only in the UI, and integrations that can write when they only need to read. 04 · Personal data ### Unmanaged personal data What personal data you hold, where it’s copied, who can see it, and whether you could answer a customer’s deletion request. 05 · Outages ### Silent outages Errors nobody sees, jobs that stop without alerting anyone, and outages your customers report before you notice. 06 · Handoffs ### Code nobody else can maintain Whether a new developer, or a new AI session, could run, change, and deploy the app without the person who built it. 07 · Backups ### Backups never restored Backups that exist on paper but have never been restored, and how much data you’d actually lose on a bad day. 08 · Growth ### Growth the architecture can’t absorb The queries, limits, and design choices that work for a hundred users and fall over at ten thousand. How it works ## Three steps, and you can stop after any of them 1. 1 5 minutes · Free ### Vibe Reality Check Eight plain-English questions with practical next steps, an optional printable checklist for your developer, and a free PDF guide: _Eight signs your AI-built app needs a closer look_ . 2. 2 30 days ### Architecture Discovery I map what was built, how it fits together, and what it depends on, then examine the highest-priority gaps hands-on and deliver a prioritized plan. 3. 3 Then ### Harden & Hand Off I fix the gaps alongside your team or your AI tools, and leave a system someone else can maintain. Evidence, not adjectives Typical findings ## What the discovery hands you Every finding with the evidence behind it and a verdict you can act on. Findings are graded the same way everywhere on this site: **Critical** means fix it first, **Needs work** means schedule it, **Pass** means leave it alone. Most AI-built apps have a handful of criticals and a lot that’s fine, which is why the answer is almost never a rewrite. If the app handles regulated data or needs a formal penetration test, I bring in my security practice, [geearr.com](https://geearr.com). [Start with the free check ](https://viberealitycheck.com/) Discovery deliverables 4 01 **System map** What was built, how it fits together, and what it depends on 02 **Findings with evidence** Security, reliability, and scalability, tested hands-on 03 **Prioritized plan** What to fix first, what can wait, what doesn’t need a rebuild 04 **Hardening options** Fix it with me, with your team, or with your AI tools ### Common findings, judged - A live database key in the client-side bundle Critical - Any signed-in user can read every customer’s records Critical - Staging and production share one database Needs work - Backups enabled, never restored Needs work - Clean, readable code a new developer can run in a day Pass FAQ ## Questions, answered What is a vibe-coded app? An application built mostly by prompting AI coding tools rather than writing the code by hand. It’s a fast, legitimate way to ship. The risk is that the tools optimize for “it works,” and the things that fail later (access control, secrets, backups, scaling) don’t show up until real customers do. Which AI coding tools do you audit apps from? Any of them: Cursor, Claude Code, Lovable, Bolt, Replit, v0, GitHub Copilot, or a contractor using them. The audit looks at what was built and how it runs, not at which tool wrote it. How is this different from a penetration test? A penetration test probes for ways in. The audit covers security too, but also reliability, maintainability, data handling, and whether the architecture can grow, and it ends with a fix plan rather than a list of vulnerabilities. When you need a formal pentest, my security practice, [geearr.com](https://geearr.com), does those. Do I have to give you my code to start? No. The [Vibe Reality Check](https://viberealitycheck.com/) is eight plain-English questions with no code access, no scan, and no email required to see your results. Code access comes later, in the Architecture Discovery, if you choose to go further. What do I get at the end of the 30-day Architecture Discovery? A map of the system, findings from hands-on testing with the evidence behind each one, and a prioritized plan: what to fix first, what can wait, and what doesn’t need a rebuild. Will you tell me to rebuild it? Rarely. Most AI-built apps have a few critical gaps and a lot that works. The point of the audit is to find out, with evidence, whether you already have a system worth building on. Usually you do. Can my team or our AI tools do the fixes? Yes. I can fix the gaps myself, work alongside your developers, or write the fixes up so your AI tools can implement them, and then verify the result. How do I get started? Take the [free 5-minute check](https://viberealitycheck.com/), or [book a free 30-minute call](https://cal.com/georgerios/30min) to talk through your system and its highest-priority gap. Start here ## Find out what’s underneath, before an outage tells you Five minutes, eight questions, no code access. Then decide whether a closer look is worth it. [Take the free check ](https://viberealitycheck.com/) [Book an audit call ](https://cal.com/georgerios/30min) --- Contact: george@georgerios.com · Book a call: https://cal.com/georgerios/30min · Services summary for agents: https://georgerios.com/llms.txt