VIBE CODING AUDIT
Your AI-Built App Is in Production. Do You Actually Know What's Inside It?
We audit vibe-coded applications so you can move forward with full technical clarity.
You built with Cursor, Lovable, Bolt.new, or v0. The product works — and that's genuinely impressive. But the codebase was generated under speed, iterated without oversight, and never reviewed by a senior engineer. Before you scale, hire developers, raise a round, or onboard enterprise clients — you need to know what you are actually sitting on.
// AUDIT FINDINGS — PROJECT A ✕ 89 silent error-swallowing blocks ✕ 2 critical security vulnerabilities ✕ Zero unit tests across 39,000 lines ✕ 5/6 endpoints without authentication ✕ No CI/CD — pushes go to production Production Readiness Score: 3/10 Estimated fix time: 6–8 weeks
The POC Worked. That’s the Easy Part.
Three problems show up in almost every vibe-coded codebase we review.
It doesn’t deploy properly
Infrastructure chaos: no CI/CD, no observability, everything balanced on a single Replit instance or Vercel free tier that was never meant to handle real traffic.
The code doesn’t extend
Adding one feature breaks three others. The AI built something that works as-is, not something designed to grow — and every new sprint makes the problem worse.
You’re afraid to hand it to a developer
No documentation, no structure, magic variables scattered everywhere. The onboarding estimate from every engineer you show it to comes back terrifying.
You Probably Need This Audit If…
- Your app was built primarily by an AI coding tool with limited senior engineering oversight
- You are not entirely sure what framework choices were made, or why
- Your codebase has grown to thousands of lines and has never been reviewed by an external engineer
- You are about to hire your first developer and want to know what they are walking into
- You are preparing for a funding round and technical due diligence is likely
- You have had unexplained crashes, slow performance under load, or integration failures
- You are planning to add real user data, payment processing, or sensitive information
- You want to move the app off its current hosting to something more robust
- A developer you showed the code to used the words ‘this needs a rewrite’
- Something in the back of your head keeps telling you to get a proper review done
Ignoring This Now Means Paying for It Later — At a Much Higher Price
Here is what happens to vibe-coded products that skip a proper review:
A security vulnerability surfaces after you have real user data — and the reputational and legal exposure hits hard
You hire your first developer, they look at the code, and the onboarding estimate comes back at three months instead of three weeks
You go into technical due diligence for a funding round and the investor’s engineers come back with a list of critical findings — killing the deal or forcing a painful discount
You try to add a new feature and the AI-generated code resists change so aggressively that every new update breaks two existing ones
An audit at the POC stage costs a fraction of what a forced rewrite costs six months later.
What a Real Audit Looks Like
These are findings from actual audits we have delivered on AI-assisted codebases.
- 89 silent error-swallowing blocks
- 2 critical security vulnerabilities (hardcoded API keys + XSS)
- Zero unit tests
- 5/6 backend functions without authentication (including payment endpoints)
- No CI/CD — pushes go directly to production
- Open redirect vulnerabilities in auth flow (phishing vector)
- Stripe webhook handlers were stubs — payments unimplemented
- XSS in email templates
- 4 HIGH-severity dependency vulnerabilities (Next.js DoS, HTTP smuggling)
- CI ran lint+build but never executed the 16 test files
- Financial calculations using float arithmetic (0.1+0.2≠0.30 on invoices)
- Race condition in payment recording
- Webhook signature verification was a placeholder comment
- Rate limiter in server memory — resets on every serverless request
What We Look At
Code Quality
Readability, structure, duplication, dead code, and error handling patterns across the entire codebase.
Architecture
Layer separation, dependency direction, coupling, and whether the system can actually grow.
Security
Auth, input validation, secrets management, injection vectors, and third-party dependency vulnerabilities.
Scalability
Data structures, query patterns, caching, and what breaks first when traffic doubles.
Tech Stack Fit
Whether the chosen frameworks and libraries are appropriate for the use case and what they lock you into.
Deployment & Infra
CI/CD, environment config, secrets handling, and the gap between dev and production.
Maintainability
Test coverage, documentation, onboarding complexity, and how long it takes a new developer to ship safely.
The Audit: How It Works and What It Costs
- Code quality review
- Architecture analysis
- Security vulnerabilities
- Scalability assessment
- CI/CD gaps
- Remediation roadmap
- Debrief call
Fixed price. No ongoing commitment. The report is yours to act on with any team.
- Fix what we found
- 6–8 weeks typical
- Firm quote before work begins
- No open-ended billing
Many clients take Step 1 alone — the report is complete enough for any team to act on.
Who This Is For
Founders building with AI
You shipped a working MVP with Cursor, Lovable, or Bolt.new and want to understand what it takes to turn it into a real product.
First developer hire incoming
You're about to bring on your first engineer and want to know exactly what you're asking them to inherit — before the conversation.
Internal tools going external
Your team built something internally with AI assistance and you’re now considering scaling it or opening it to customers.
Non-technical founders raising capital
You need an honest expert assessment before raising a round or signing an enterprise contract — something beyond a pitch deck.
CTOs inheriting AI codebases
You've taken over ownership of an AI-assisted codebase and need clarity on its actual condition before committing to a roadmap.
What You Walk Away With
Findings Report
A structured document with findings organized by category — code quality, security, architecture, and scalability.
Risk Map
Every issue prioritized by severity and commercial impact, so you know what to fix first and what can wait.
Remediation Roadmap
A sequenced action plan with effort estimates, written so any developer can pick it up and start executing.
Debrief Call
A live walkthrough of findings with a senior engineer — questions answered, priorities discussed, next steps clear.
How It Works
Share your repository
Send us a GitHub link or set up secure read-only access — takes five minutes.
Pay the audit fee
Fixed fee from $199 based on codebase size. No hidden costs.
We conduct the review
A senior engineer performs a hands-on review of your actual code.
You receive your report
Findings Report + Risk Map + Remediation Roadmap delivered within 48 hours.
Debrief & next steps
A walkthrough call with the reviewing engineer — questions answered, priorities set.
Questions We Hear Often
Get a Clear Picture Before It Gets Expensive
You built fast. That was the right call. Now it is time to find out what you actually built.