Here, we share insights, tips, and news from the world of software development and our work. We explore the latest trends, offer solutions for common challenges, and provide a glimpse into our projects. Whether you're an industry insider or simply curious about the technology behind our products, there should be something for everyone here.
AI writes your user stories now? Maybe. But it doesn't solve your biggest problem: knowledge trapped in the heads of individual employees. Especially in SMEs.
Requirements change. Always. We show you why you need to understand Requirements Engineering as a continuous cycle – not a one-off checklist.
Frameworks work, the cloud scales. Yet projects fail – mostly because we build the wrong thing. We show you how to stay focused with use cases and early vertical slices.
A deep dive into the token economics of Model Context Protocol versus traditional CLI tools for AI agents. Spoiler: CLI often wins by 60-90% on cost.
How WebMCP transforms any webpage into an intelligent, agent-ready interface using the Model Context Protocol - without brittle screen scraping or slow automation tools.
Exploring local alternatives to GitHub Copilot and Claude Code for enhanced data privacy. A technical comparison of OpenCode.ai and Claude Code CLI with custom backends, including setup instructions, quality analysis, and GDPR compliance considerations.
AI won't make you a senior developer—but used correctly, it can accelerate your path to becoming one. Here's how to use AI as a learning tool, not a crutch.
Conway's Law shows that software architectures reflect the communication structures of an organization. We explain why this is often costly and how to do it better – from startups to enterprises.
Git Worktrees enable parallel development across multiple branches simultaneously. Combined with AI coding agents, they unlock entirely new possibilities for efficient, scalable workflows - like having a virtual development team on a single machine.
For companies using coding agents, questions arise: How do we handle generated code? Do we still need to review it? And who bears the responsibility?
Many companies know their resource-intensive processes but underestimate their true costs. We show why inefficient workflows are often more expensive than expected and how targeted process optimization helps reduce costs - without major IT projects.
How we supported DATAflor in the gradual migration of a productive Xamarin.Forms multi-project codebase to a modern .NET MAUI application – with minimal risk, close team collaboration, and a focus on time-to-market
We believe that good software doesn't arise from industry specialization, but from a structured approach and asking the right questions. With our unbiased view of core processes and consistent focus on quality, we develop individual solutions – with or without AI.
Combine both with named HTTP clients to create modular reliable interfaces to other services
BUGS! Playwright is one of many popular testing tools for UI-driven end-to-end tests. In this post, we highlight several approaches and decisions that can help optimize test strategies, reduce effort, and improve quality.
.NET 9 brings numerous optimizations regarding performance and resource management. DATAS and Server Garbage Collection help run .NET services on Kubernetes more cost-effectively.
Code reviews are an indispensable part of modern software development. But how to do a truly impactful code review?
