Our Approach

Progressive. Software. Development;

Coding Schematic Image

We use technologies that make apps effective to develop, efficient to run and excellent to use. Innovative hosting with a lean & flexible architecture on the server. Fast, offline-enabled and privacy respecting user experiences on the client.

Technologies we work with

This is a selection of tools and approaches we use to build software.

Development Tools

We take a polyglot approach to languages and frameworks, selecting the right tools for each job. For apps and services, we commonly use Node.js, .NET (C#) and Python. In our ongoing development of the Lytebase platform we use Go for core infrastructure components. We’re also working to integrate Webassembly as a hosting runtime, where Rust proves to be an excellent fit.

User Interface

Our main target for the user interface is the browser with support for modern web-standards to create Progressive Web Applications . For Native Apps we're experimenting with Capacitor, which is based on web technologies. As UI frameworks we like to use Vue.js and Astro.

Development Lifecycle, CI, Hosting

Our development workflow is centered around Git, following a fully automated GitOps approach. Deployment artifacts are typically containerized, and for our upcoming Lytebase platform, we’re also integrating WebAssembly modules using an OCI-compatible registry. We deploy to lightweight K3s Kubernetes clusters and Cloudflare services, depending on the specific requirements of each service.

Data

On the client side, we leverage browser-native storage technologies, primarily IndexedDB and SQLite, to support local-first application experiences. On the server side, we use SQLite with replication, Blob storage, and dedicated storage solutions like PostgreSQL and Elasticsearch— both of which will be natively integrated into our Lytebase platform to provide robust and capable data and analytics services.

AI

Understanding the potential and implications of artificial intelligence is a key focus for us. We actively explore various models and APIs, evaluating their practical applications across our products and services. Our upcoming Lytebase platform is being designed with GPU support, making it a strong foundation for deploying and running AI-powered applications efficiently.