From MVP toa mobile appin production.

Type
Illustrative scenario
Area
Product engineering
Services
MVP, mobile app, backend, UX/UI
Stack
React Native or Flutter
Delivery
Fixed-price or dedicated team
Abstract illustration of an app dashboard

The challenge

A team has a product idea and needs a working mobile app, without a long build or a codebase nobody trusts.

This is an illustrative scenario, not a client project. It shows how we usually work: a clear scope, senior-led architecture, and AI-assisted engineering that stays under human review.

The same approach applies to web apps, SaaS products and internal tools. We can deliver it as a fixed-price project or with a dedicated team.

Before & after

Drag the handle, or use the arrow keys

Before: a crowded legacy interface with many similar blocks
After: a modern dashboard with a clear chart and one main action
BeforeAfter

Our approach

  1. Step 01

    Scope the MVP

    We agree on the users, the core journey and what to leave out, so the first release is small enough to ship and learn from.

  2. Step 02

    Design the architecture

    Senior engineers design the data model, APIs and app structure, and UX/UI design runs alongside so engineers build from tested flows.

  3. Step 03

    Build with AI assistance

    Tools such as Claude Code, OpenAI Codex and Cursor speed up implementation, while every change goes through human code review.

  4. Step 04

    Test, secure and release

    Automated tests, security checks and staged releases come before store submission, followed by monitoring and maintenance.

Abstract illustration of a design system: colors and text styles
A shared design system keeps design and engineering aligned.
Abstract illustration of three mobile app screens
The core journey, designed and tested first.

What you can expect

1
Shared codebase for iOS and Android when a cross-platform stack fits
Reviewed
Every change checked by an engineer before it merges
MVP
First release scoped to the core user journey
Ongoing
Support and maintenance after launch if you want it

Next scenario

AI support assistant

A support assistant that answers from your own documents.

Abstract illustration of a chat interface