Is Your AI Prototype Ready for Production?

The demo was convincing. A few people are already using the application. Now you're preparing for a funding round or a broader rollout across your team. Vibe coding gets many teams to this stage surprisingly quickly. The real question is: What is your prototype actually built on? Before investing more time and budget into new features, it’s worth taking a closer look at both the code and the user experience. By the end of our audit, you'll know what is already solid, what should be stabilized before the next step, and what to watch out for as you continue building. And in some cases, you'll discover that starting over is the more honest and economical option.
Symptoms We Commonly See in AI-Generated Prototypes
None of these issues is a disaster on its own. But if several of them sound familiar, an audit is probably worth considering.
What Was This Button For Again? The app has a button for every request. What it lacks is a clear navigation structure. Users struggle to find what they need.
Three Styles, One Application No design system. Three UI libraries. Every prompt introduces a different visual language. With each new feature, the inconsistency grows.
This Usually Works The onboarding experience works if you already know the application. First-time users often get lost after only a few clicks.
Where Does the Data Go? The code was generated and it works—but nobody has reviewed which APIs are being called or what data is stored in the database.
Who Is Allowed to See This? Roles and permissions were never properly defined. There is a login screen, but nobody is entirely sure who should have access to which data.
Users Report Bugs Before Monitoring Does No logging. No tests. No automated alerts. You're operating largely on intuition.
It Works for Five Users What happens with fifty users? Nobody knows. There has been no load testing and no clear understanding of potential bottlenecks.
How Many External Services Are Involved? Costs are unclear. GDPR compliance is uncertain. There is no resilience strategy. Teams often don't know which services were added through prompts or what operational consequences they bring.

Technical Perspective | What Is Your Prototype Really Standing On?
Why does the application work during a demo but struggle under real-world usage? Which permission models were never properly designed? Which external dependencies become risks as adoption grows? Paul and the team review your architecture, dependencies, test coverage, build pipeline, and secrets management. By the end, you'll understand which parts of your application are ready to scale and where technical risks could slow down the next stage of growth.

UX Perspective | How Do Users Actually Experience the Product?
Where do new users abandon onboarding? Which important features go unnoticed? Which workflows only make sense to people who already know the system?
Judith and her team evaluate your product from the perspective of user journeys, information architecture, and usability. The result is a clear understanding of which UX issues are reducing adoption and which improvements will have the greatest impact on productivity and user satisfaction.
What You Can Expect From the Audit
We do not deliver generic checklists or automatically generated reports. Every finding is reviewed, prioritized, and discussed with you.
Engineering and Design at the Same Table
Traditional code audits produce code reports. UX audits produce findings decks. We combine both perspectives. The person identifying a state-management issue collaborates directly with the person untangling your onboarding experience. The result is a shared set of prioritized findings instead of isolated recommendations.
Full-Stack Web Development Is Our Home Turf
We have been building web applications for more than fifteen years. TypeScript and React are our strongest areas. We also work extensively with Next.js, Vue, Svelte, Astro, and Node.js. If your stack is more specialized, we'll tell you upfront whether we're the right fit.
Audit as a Working Session, Not a Lecture
The written report is only half of the deliverable. The other half is spending two to three hours together in the codebase. Whether you want to discuss architecture, individual modules, or specific lines of code is entirely up to you. We’ll meet you at the level of detail you need and help identify the next meaningful step.
We Use AI in the Audit. With Human Oversight.
This is not a demo setup. We use the same AI tools in audits that we use every day in our own projects. We know where models are reliable, where they tend to hallucinate, and where human judgment still matters. Anything the tools surface gets reviewed before it makes its way into the final report.
Evidence, Not Opinions
Every finding in the report is backed by concrete evidence. For technical issues, we reference the relevant files and code locations. For UX findings, we point to the workflows and interactions where the problem occurs. You should be able to verify every recommendation yourself and decide what deserves attention first.
Sometimes Starting Over Is the Better Option
If the architecture has reached a point where repairing it would cost more than rebuilding it, we'll tell you. We'd rather help you make a good decision than keep you investing time in the wrong foundation. Whether you continue working with us afterwards has no influence on that recommendation.
This is not a sales call. Tell us what you've built, which technologies you're using, and where things currently feel uncertain. In most cases, both sides know after thirty minutes whether an audit makes sense.

Michael Jaser is your first point of contact for the Vibe Coding Audit.

3-5
Days
Vibe Coding Audit
We analyze your prototype and help you understand what is already production-ready, what needs attention, and where risks may emerge as the application grows. You'll work directly with senior engineers and product designers who build AI-assisted applications themselves every day. Short lead times. No lock-in. No hidden follow-up commitments.
Typical Projects
AI-generated MVPs, Internal business tools, Early-stage SaaS products, and Applications built with Cursor, Claude Code, Lovable, Bolt or similar tools
Goal
Gain clarity on what is already solid, what should be stabilized, and which risks matter before the next stage of growth.
Der Vibe Coding Audit auf einen Blick
What You'll Receive
A detailed audit report with prioritized findings • Technical and UX insights combined into a single assessment • Evidence and references for every finding • A collaborative review session • Clear recommendations for next steps • Optional implementation of the top three quick wins
Pricing
Introductory call: free of charge • Audit starting at €1,900 fixed price • Additional work only after mutual agreement • No hidden follow-up costs
What Happens Afterwards?
The outcome is yours. You might:* • Continue building internally • modernize the application • bring in additional engineering support • hand over further development to us The recommendation is based on the findings, not on our sales targets.

Frequently Asked Questions
Was uns Käufer:innen vor der Buchung typischerweise fragen, ehrlich beantwortet.

Let's Take a Look Together
Tell us a bit about what you've built: the prototype, your tech stack, and where things stand today. We'll get back to you within one business day to schedule a 30-minute intro call. And if we don't think an audit is the right next step, we'll tell you that too.