Vibecoding gets you to v0.1.
What gets you to v1.0?
The gap between a working prototype and production-ready software is where most AI-first projects die.
Crash Under Load
Your MVP collapses under real traffic — and your reputation with it. No load testing, no fallback strategy.
Security is an Afterthought
No auth, no input validation, no data protection. AI generates the happy path, not the secure path.
Technical Debt from Day One
No tests, no observability, no CI/CD. Every feature added makes the next one harder to ship.
Can’t Hand It to a Team
Code that only one person (and their AI) understands is a liability, not an asset.
Fails Due Diligence
Investors ask about engineering practices and you don’t have a good answer. Enterprise clients reject you.
Deploy and Pray
Every deployment is a gamble. No automated tests, no rollback, no way to know if something broke until users tell you.
Vibecode the prototype.
Engineer the product.
From a working prototype to something that holds up in front of paying customers.
MVP Build
We build your MVP fast. Claude Code and a modern toolchain get you from idea to working prototype in days, not sprints.
Production Hardening
Then we close the gaps that break products in production: stability under load, security that passes review, and monitoring that catches problems before your users do.
Six pillars of
production readiness
The six things every AI-built prototype is missing before it’s safe to put in front of real users.
Architecture
Structure that survives growth instead of collapsing under it. Load-tested, built for zero-downtime releases.
Security
OWASP-hardened, encrypted at rest and in transit. Real auth, RBAC, and the answers a security questionnaire actually asks for.
Testing
Automated test suites. Unit, integration, and E2E coverage that catches bugs before users do.
Observability
Alerting, logging, tracing, and dashboards. Know what’s happening before your users tell you.
CI/CD
Automated build, test, and deploy pipelines. Push with confidence, roll back in seconds.
Infrastructure
Cloud-native, infrastructure-as-code, container-ready. No vendor lock-in, fully reproducible.
Your AI built it.
This playbook makes it production-ready.
From Vibecoding to Production-Ready
Security
Testing
Observability
CI/CD
Infrastructure
wolkenmeister
Before
- AI-generated spaghetti code
- Deploy and pray
- Security? What security?
- Fails due diligence
After
- Modular, maintainable architecture
- Deploy with confidence
- OWASP-hardened from day one
- Investor-ready engineering
Get the playbook.
Tell us where to send it.
Tell us what you’re building and we’ll send the playbook — plus a quick read on where your biggest risks probably are.
Thank you!
We’ll send the playbook and get back to you within 24 hours.
Speed is the easy part.
The hard part comes after the demo.
AI-Accelerated
We use Claude Code and modern AI tooling to do in days what used to take weeks. Fast, but not sloppy.
Engineering Depth
Over 10 years building and running production systems before AI could write a line of it. That’s the part that doesn’t come from a prompt.
Framework-Proven
Not vibes — a 6-pillar checklist with 50+ concrete checks. Same process every time, so you can see exactly what changed.
No Vendor Lock-in
We train your team, document everything, and hand off cleanly. You hire us again because we’re good — not because you have to.
Built in Frankfurt
German engineering standards. GDPR compliant by default. EU-hosted infrastructure. Your data stays in Europe.
Same six pillars.
Here’s the order we fix them in.
Every engagement runs the same playbook, so you always know what we’re doing and why.
Architecture Audit
We analyze your codebase structure, identify monolith risks, and design a modular architecture that scales.
Security Hardening
OWASP-aligned review. Auth, input validation, encryption, and data protection — systematically checked.
Test Coverage
Unit, integration, and E2E test strategy. We establish coverage targets and automate the safety net.
Observability Setup
Structured logging, metrics, tracing, alerting. So when something breaks at 2am, you know where to look.
CI/CD Pipeline
Automated build, test, deploy. Push with confidence, roll back in seconds. No more deploy-and-pray.
Infrastructure as Code
Cloud-native, reproducible, no vendor lock-in. Terraform, containers, and automated provisioning.
From vibecoded to
production-grade
The same login endpoint, before and after.
// app.js — "It works on my machine"
app.post('/login', (req, res) =>
const user = db.query(
`SELECT * FROM users WHERE
email='${req.body.email}'`
); // SQL injection
const token = 'hardcoded-secret';
console.log('user logged in');
res.json({ token });
);
// No tests. No types. No monitoring.// auth.controller.ts — production-hardened
async login(req: LoginDto): Promise<Token>
const user = await this.userRepo
.findByEmail(req.email); // parameterized
await verify(user.hash, req.password);
const token = jwt.sign(user.id,
env.JWT_SECRET); // from vault
this.logger.info('auth.login', { userId });
this.metrics.inc('auth.success');
return { accessToken: token };
// 92% coverage. Typed. Observable.Book your free
Production-Readiness Review.
Tell us about your project. We respond within 24 hours.
Thanks — pick a time.
We'll be in touch even if you don't book — but a slot keeps things moving.
Frequently asked questions
What is vibecoding and why is it a problem?
Vibecoding is building software rapidly using AI coding tools like Claude, Cursor, Copilot, or Bolt. While it gets you to a working prototype fast, AI-generated code typically lacks security hardening, automated tests, proper architecture, observability, CI/CD pipelines, and production-grade infrastructure. The gap between a working demo and production-ready software is where most AI-first projects fail.
Is AI-generated code secure enough for production?
Not without review. AI-generated code typically handles the happy path but misses input validation, authentication edge cases, SQL injection prevention, and proper secret management. Our Security Pillar provides a systematic OWASP-aligned checklist to identify and fix these gaps before they become production incidents.
What are the 6 Pillars of production readiness?
The 6 Pillars are: (1) Architecture — modular, scalable system design, (2) Security — auth, validation, encryption baked in, (3) Testing — automated unit, integration, and E2E test suites, (4) Observability — logging, monitoring, and alerting, (5) CI/CD — automated build, test, and deploy pipelines, (6) Infrastructure — cloud-native, reproducible, and scalable. Together they form a systematic framework for transforming any AI-built prototype into enterprise-grade software.
How long does it take to make an AI MVP production-ready?
Typically 2–6 weeks depending on complexity. Our process starts with an architecture audit and prioritization matrix so you fix the highest-risk issues first. Many teams see significant improvement within the first week by addressing security basics and adding CI/CD.
What’s included in the free playbook?
The Enterprise-Grade AI Development Playbook is a free 30-page guide covering all 6 Pillars. It includes architecture patterns for AI-generated codebases, an OWASP-aligned security checklist, a testing strategy template, a CI/CD pipeline blueprint, an observability setup guide, and a 50+ item Production-Readiness Scorecard. No sales pitch — just actionable engineering frameworks.
Do I need to rewrite my entire codebase?
No. The 6 Pillars framework is designed for incremental improvement, not rewrites. Start with the Production-Readiness Scorecard to identify your biggest gaps, then systematically address them pillar by pillar. Most AI-generated codebases can be hardened without starting over — it’s about adding the missing layers around your existing working code.
Ready for production?
Two ways to do this.
Want us to do it?
Send us your project. We’ll find the risks that actually matter and tell you straight what it takes to fix them.
Book a CallWant to learn how?
Get our free 30-page playbook. The 6 Pillars framework with checklists and templates.
Get the Free Playbook