Blog
Here we share what works — in platforms, processes, and products. For anyone who not only wants to use technology, but also wants to understand it.
Software deployment is the process that moves finished code out of the development environment and into live production. GitOps, Progressive Delivery and DevSecOps make releases faster and safer. At the same time, the revDSG and even EU regulations reach into Swiss pipelines.
White label software refers to fully developed software that you license, brand and sell to end customers under your own brand name, without programming it yourself. For SMEs and agencies, this model can be a fast route to market.
Many teams experience Sprint Planning in one of two extreme ways: either as an endless meeting that drags on for three hours and still provides no clarity, or merely as a ticket-shuffling exercise in Jira that could just as easily have been handled via email. Neither of these approaches aligns with the true purpose of Sprint Planning.
By the end of 2025, almost half of all code on GitHub was generated using AI tools, according to EY Switzerland. Each month, 43 million pull requests were merged, a 23% year-over-year increase (Source: EY Switzerland). Gartner predicts that by 2030, AI-native development platforms will lead to 80% of organizations transforming large developer teams into smaller, AI-augmented units (Source: Gartner). Software development is changing faster than ever before. We highlight the trends that truly matter in 2026, what's driving them, and what this specifically means for businesses.
Just two years ago, building a first functional software prototype took several weeks: setting up the development environment, cobbling together a backend, building a frontend, wiring it all together. Today it takes a few hours and a clear prompt. AI Prototyping has fundamentally changed the process.
According to the swissICT Digital Excellence Report, only 35 percent of Swiss companies are on track with their digital alignment. For 26 percent, there is significant need for action (Source: swissICT). Companies invest in tools, cloud services, and AI pilot projects without a plan that holds it all together. The result: fragmented system landscapes, duplicated work, and budgets that don't flow where they have the most impact. The right IT strategy is the answer to this.
Anyone introducing new software, rebuilding server infrastructure, or automating existing processes encounters the same resistance: systems, teams, and habits don't change on their own. IT Change Management is the structured approach that guides changes in IT systems and organizations to ensure that ongoing operations are not disrupted and the new implementation is successfully adopted. What sounds simple often fails in practice for two reasons: the process and the people.
