How do you decide which technology fits best?

We do not only look at what works quickly in sprint one, but also at maintenance, team fit, and long-term extensibility. That is why we always connect stack choices to quality, scope and estimation, and the type of software you want to build through software development.

Languages and frameworks that can grow with you

A selection of the languages and frameworks we use to build software. Because we work with multiple languages, we can always choose the technology that best fits the problem.

TypeScript

TypeScript makes larger codebases more predictable by exposing errors early and helping teams develop them more safely.

Python

Python accelerates backends, automation, and data work when rapid iteration and access to a broad ecosystem matter.

Ruby on Rails

Ruby on Rails helps teams deliver a solid web application quickly through proven conventions and less unnecessary custom work.

Elixir / Phoenix

Elixir and Phoenix keep systems responsive when high concurrency, message processing, and resilience need to work together.

PHP

PHP makes it possible to modernize existing web software without immediately replacing a valuable system in full.

Rust

Rust provides speed and memory safety for services where reliability and tight control over resources are decisive.

React

React keeps complex interfaces manageable through reusable components and a predictable connection between data and screens.

Vue.js

Vue.js helps teams build modern interfaces that remain approachable and can be introduced gradually into existing applications.

Node.js

Node.js accelerates realtime applications and lets teams use JavaScript or TypeScript consistently from browser to server.

NestJS

NestJS gives Node backends a clear structure, keeping domains, tests, and extensions manageable as the application grows.

GraphQL

GraphQL gives different clients precisely the data they need and makes the contract with the backend more explicit.

PostgreSQL

PostgreSQL provides a reliable foundation for transactions and relational data, with room for business-critical applications to grow.

Prisma

Prisma keeps data models, migrations, and TypeScript code aligned, helping teams develop faster with fewer integration errors.

Elasticsearch

Elasticsearch enables fast search, filtering, and analysis when a relational database can no longer handle those needs comfortably.

Frequently asked questions

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