Web applications built for performance and growth

For large interfaces with many forms and states, also as a progressive web app. Too heavy for a small website.

For real-time features like chat and back ends that connect many services. For classic form and subscription logic, Laravel is often leaner.

For lean REST APIs that feed the web app, mobile app and admin panel from one source. A pure content website does not need its own API back end.

For data whose structure changes with the product, such as profiles, events and content. For heavily linked accounting or billing data, a relational database fits better.

The language of the browser: every interaction on a website runs on it, in larger projects as TypeScript with strict types. A pure information page needs very little of it.

For interactive interfaces that start lean and grow step by step. For very large applications with many teams, Angular is often more structured.

The skeleton of every page: cleanly structured so Google, AI search and screen readers understand the content. No substitute for a framework when the page needs logic.

For layout, typography and animations that fit every screen, from phone to monitor. Motion only where it explains something.

For interfaces built quickly and consistently from a design system. For an existing site with its own CSS, switching rarely pays off.

For backends and websites that run on almost any server, often with Laravel. For real-time features like chat, Node.js is the better choice.

For web apps and SaaS with a lot of business logic, roles and subscriptions. Too much for a pure content website.

For websites your team maintains itself. Not for complex business logic, which belongs in its own web app.

For online shops that go live fast and grow with apps and integrations. Not when the shop needs very specific pricing and payment logic.

For shops with their own pricing and payment logic, such as corporate, school and financing offers. For a fast, lean start, Shopify is enough.

Our AI editor in day-to-day development: routine code, tests and refactoring go faster, and a developer reviews every change. It does not make architecture decisions.

AI suggestions right in the code, above all for recurring patterns. The developer decides in review what is kept.

For research, concepts and copy in the project and as a language model in AI features. Customer data only goes into environments that allow it.

As a second language model, for example for long documents and images, and to cross-check results. We choose the model per task.

For AI-assisted code reviews and tests that show gaps early. It does not replace a review by a second developer.

For automations between tools, such as form, CRM and email, without custom code for every connection. For core logic under heavy load we build a dedicated interface.