Valletta Software
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 shipped with Cursor, Lovable, Bolt.new, or v0. Fast. Impressive. But your codebase has never seen a senior engineer. Before you scale, hire, or raise, find out what you're actually sitting on.

See What We Found ↓
audit-report.txtscanning
// AUDIT FINDINGS – PROJECT A
✕ 0 silent error-swallowing blocks
✕ 0 critical security vulnerabilities
✕ Zero unit tests across 0 lines
✕ 0/0 endpoints without authentication
✕ No CI/CD – pushes go to production
 
Production Readiness Score: 0/10
Estimated fix time: 6–8 weeks
$▍
Trusted by founders shipping with
Cursor·Lovable·Bolt.new·v0·Replit
Clutch Global 2025Upwork Top Rated Plus
PATTERN

The POC Worked.
That's the easy part.

Three problems show up in almost every vibe-coded codebase we review.

01

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.

02

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.

03

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.

SELF-CHECK

You Probably Need This Audit If…

Tap each statement that applies. The more checked, the more urgent the conversation.

THE STAKES

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:

  • 01

    A security vulnerability surfaces after you have real user data, and the reputational and legal exposure hits hard

  • 02

    You hire your first developer, they look at the code, and the onboarding estimate comes back at three months instead of three weeks

  • 03

    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

  • 04

    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.

EVIDENCE

What a Real Audit Looks Like

These are findings from actual audits we have delivered on AI-assisted codebases.

3
5.5
8.5
Production Readiness · / 103 codebases reviewed
Production Readiness
3/10

Estimated: 6–8 weeks to production quality

Online fashion try-on app for a European retailer

Expo + Supabase · iOS / Android / Web · ~39,000 lines of TypeScript

  • 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 correct CI/CD – pushes go directly to production

The client received a prioritized remediation roadmap, a fixed-price proposal to reach production quality, and a clear answer to the question their team had been avoiding for months. Within 48 hours of the audit, they had revoked the compromised API keys, patched the two critical vulnerabilities, and knew exactly what six weeks of focused work would cost them. They moved forward.

Production Readiness
5.5/10

Estimated: 4–6 weeks to production quality

Creator services marketplace

Next.js + Stripe Connect · ~12,700 lines

  • 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

The founder had been preparing for a soft launch. The audit stopped it. Not because the product was not ready to show, but because payments had never actually worked, and nobody knew. The report gave them a ranked fix list, a realistic timeline, and the specific language to explain the delay to their early users without losing credibility. They launched six weeks later, with payments working and the auth flow secured.

Production Readiness
8.5/10

Architecture score – but with P0 security and financial correctness issues

Estimated: 6–8 weeks to production quality

AI-driven operations OS for a marketing agency

CRM, finance, HR, payroll · Next.js + Claude API · ~23,700 lines · 475 files · 50 database migrations

  • 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

This was the most technically impressive codebase we reviewed. It was also the most dangerous. The architecture scored well. But the financial logic had silent errors that would have paid the wrong commissions, created duplicate payments, and accepted forged invoices, all without anyone noticing until the numbers stopped adding up. The client walked away with a full risk map, a prioritized list of P0 fixes, and a fixed-price proposal to make the financial layer correct before their first paying enterprise customer went live.

SCOPE

What We Look At

01

Code Quality

AI-generated code often mixes patterns, styles, and approaches in ways that look superficially coherent but break down under scrutiny. We assess consistency, readability, and whether the codebase is something a human developer can actually work with.

02

Architecture

Is the application designed in a way that can grow? Are concerns separated properly? Are there single points of failure baked into the design? We assess whether the architecture will hold as your product and team scale.

03

Security

Authentication, authorization, input validation, data exposure, dependency vulnerabilities, API key handling – we check for the security issues that AI tools routinely miss and that become critical the moment you handle real user data.

04

Scalability

Many vibe-coded products perform fine with one user and fall apart under real load. We identify the bottlenecks, the missing caching layers, the database query patterns that will not survive growth.

05

Tech Stack Fit

Did the AI pick a stack that actually matches your product’s requirements? We assess whether your current stack fits your expected load, compliance needs, budget, and the kind of developers you can realistically hire.

06

Deployment & Infra

Is this deployable somewhere other than Vercel? Is there a CI/CD pipeline? What does production monitoring look like? We review your hosting, deployment setup, and operational readiness.

07

Maintainability

Can a developer join this project in two weeks, or in two months? We assess the state of documentation, the clarity of the codebase structure, and the realistic onboarding cost for future engineers.

08

Technical Debt Mapping

We identify and prioritize the debt that matters – the issues that will actively block progress versus the ones that can be addressed later – so you can make informed decisions about what to fix first.

THE OFFER

The Audit: How It Works and What It Costs

Most Popular
Step 1 — Start here
$199from

Audit Report

  • 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.

Step 2 — Optional
Fixed-price quote

Remediation

  • 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.

DEFINITION

What Is a Vibe Coding Audit?

Our audit is a structured, senior-level review of your AI-assisted application. We look at everything that an AI tool will not tell you about itself: the structural risks, the hidden technical debt, the security gaps, the scalability ceiling, and the real cost of what it would take to bring this product to a production standard.

This is not an automated scan. It is not a generic checklist from a language model. A senior engineer reviews your repository, tests your architecture against real-world scenarios, and produces a report that tells you exactly where you stand and what needs to happen next.

You leave with a clear picture of what you have built, what the risks are, what fixing them will cost, and what the priority order should be. No vague recommendations. No consultant-speak. Just a technically honest, commercially useful assessment.

WHO IT'S FOR

Who This Is For

01

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.

02

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.

03

Internal tools going external

Your team built something internally with AI assistance and you’re now considering scaling it or opening it to customers.

04

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.

05

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.

CLARITY

What You Walk Away With

  • 01

    A clear, honest understanding of the technical condition of your application: no sugar-coating, no vague reassurance

  • 02

    A ranked list of risks, from critical and urgent to moderate and low-priority, so you can make decisions without having to understand every line of code yourself

  • 03

    Specific, actionable recommendations: not generic best practices, but concrete steps tied to your actual codebase

  • 04

    A realistic cost estimate for remediation, so you can plan and budget with confidence

  • 05

    The ability to walk into a developer interview, a funding conversation, or an enterprise sales meeting with a technically informed position

  • 06

    Control over your own product, because right now, that control is sitting inside a system you did not fully design and have not fully reviewed

DELIVERABLES

What You Receive

01 / 05

Findings Report

A structured written document covering every area of the audit, with specific findings and their implications explained in plain language alongside technical detail for any developer you bring in later.

02 / 05

Risk Map

A prioritized view of every significant issue we identified, categorized by severity, urgency, and estimated impact if left unaddressed – including a concrete assessment of what each risk means commercially, not just technically.

03 / 05

Remediation Roadmap

A sequenced plan for addressing the issues we found, with clear dependencies and realistic effort estimates. Not a wish list – a practical, prioritized action plan.

04 / 05

Fixed-Price Refactoring Proposal

If you want us to fix what we find, we provide a transparent, fixed-price proposal scoped to the specific issues in your codebase. No open-ended engagements, no billable hours that balloon.

05 / 05

Debrief Call

A walkthrough session where a senior engineer takes you through the findings, answers your questions, and helps you understand the priority decisions – without requiring you to read every line of the report on your own.

PROCESS

How It Works

1

Share your repository

Provide a link to your GitHub repository. We handle secure access and keep everything confidential. No source code leaves the review environment.

2

Pay the audit fee

A single, fixed fee starting at $199. No surprises. You know what you are paying before we start.

3

We conduct the review

A senior engineer goes through your codebase. This is a hands-on review, not an automated scan.

4

You receive your report

The full findings report, risk map, and remediation roadmap arrive in your inbox, ready to be acted on immediately.

5

Debrief & next steps

We walk you through the report together. If you want us to fix what we found, we give you a fixed-price proposal. If you take the report elsewhere, it is complete enough for any competent development team to act on.

FAQ

Questions We Hear Often

Click to expand.

We already shipped. Why do we need this now?

Because shipping is when problems become expensive. Issues that were free to fix in the POC stage now have user data, customer trust, and integrations attached to them. The audit gives you a clear map of what is actually under the hood — before the next pull request, the next hire, or the next user signup compounds the cost.

The app is working fine. What’s the actual risk?

“Working fine” usually means “working for the happy path with low traffic.” The audit checks the boring failure modes that AI tools rarely surface: silent error swallowing, missing authentication, race conditions, dependency vulnerabilities, and infrastructure that cannot scale. By the time these show up in production, they cost real money.

Can’t our future developers just clean it up when we hire them?

They can — but they will need months to map a codebase they did not build, and you will be paying senior engineering rates while they do it. The audit gives them (and you) the map upfront, so onboarding is measured in weeks, not quarters.

We are still early-stage. Isn’t this premature?

It is the opposite. The earlier the audit happens, the cheaper every fix is. A $199 report at the POC stage replaces a six-figure rewrite that often surfaces only after a failed due diligence or a security incident.

Couldn’t we just run this through a code analysis tool ourselves?

You could — and you should run those tools too. But automated scanners flag syntax-level issues. They do not assess whether your architecture can scale, whether your stack matches your business model, whether your financial logic is correct, or whether a senior engineer can realistically maintain what was built. That is what this audit is for.
Ready when you are

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, and what it will take to turn it into something that scales, that a developer can maintain, and that you can stand behind in a funding conversation or an enterprise sales call.

The audit is a fixed-fee engagement starting at $199. You get a complete report within a defined turnaround. No ongoing commitment required. If you want us to fix what we find, we'll give you a fixed price for that too.

sales@vallettasoftware.com

Let’s talk