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Home / AI Solutions / Vibe Coding
Prompt to production

From a prompt to a working app.

AI-assisted, conversational app building with Maia in Mendix Studio Pro — from natural-language intent to a governed, production-grade application.

What we do

Vibe Coding on Mendix.

Production-grade vibe coding delivered by a Mendix Platinum Partner, backed by Siemens Xcelerator.

Maia Make

Conversational build

Generate domain models, pages, microflows and OQL by chat.

Natural language

Describe it

Describe the app; Maia scaffolds a solid foundation.

Prototyping

Rapid iteration

From idea to clickable PoC in days, not months.

Assisted modeling

Best-practice

Recommenders keep the model clean and maintainable.

Speed

Idea to PoC

A 21-day path from concept to production proof.

Governed

Production-grade

Output runs on a governed, scalable platform.

How we deliver

Discover. Build. Govern.

The same 21-day rhythm across every engagement — discovery in five days, a production proof in twenty-one.

Step 01

Discover

Pin the use case and the ROI hypothesis in a 5-day discovery.

Step 02

Build

A production PoC on Mendix in 21 days — real data, real users.

Step 03

Govern

Security, audit and model risk handled from day one.

Step 04

Scale

Grow on the same platform to 100K users — no rebuild.

Ready to put vibe coding to work?

Tell us the outcome you're after. We'll bring the platform, the AI and the engineers who've done it before.

FAQ

Questions, answered.

What is vibe coding?

Conversational, AI-assisted development — you describe what you need and AI generates production app artifacts you refine.

Is the output production-ready?

Yes — it runs on the governed Mendix platform, not a throwaway prototype.

Who can do it?

Both professional and citizen developers, guided by Maia recommenders.

How fast is it?

A working PoC in days; production in a 21-day engagement.

What is agentic AI?

AI systems where autonomous agents plan and take multi-step actions across tools and workflows — beyond a single chatbot reply.

What is retrieval-augmented generation (RAG)?

A technique that grounds an LLM in your own data at query time, improving accuracy and reducing hallucinations.

How is generative AI different from traditional AI?

Traditional AI predicts or classifies; generative AI creates content and powers copilots and agents.

How much does an AI proof of concept cost?

We deliver a fixed-fee, fixed-scope 21-day production PoC; the exact figure is set after a 5-day discovery.

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