
Why Diverse Teams Build Better Software
Homogeneous teams build products that reflect only one perspective. What this means in practice and how stereotypes within a team can be broken down.

Conversations with testers, developers, and coaches who work in the field.

Homogeneous teams build products that reflect only one perspective. What this means in practice and how stereotypes within a team can be broken down.

People with autism often really find their stride in manual regression testing—while others have long since grown impatient. Here’s how that works in practice.

AI Personas as Documentation Testers: What a Simulated Junior Developer with 1.8 Million Tokens Reveals About Where Documentation Really Falls Short.

Software architecture can go stale while you are still writing it down, not only after years. Which decisions must be fixed and which stay open.

Positive leadership has nothing to do with a “pony farm.” The PERMA model shows how leadership works based on five specific factors.

AI makes team communication more objective, and that is not the same as progress. What trust and empathy lose, and how teams push back.

German companies want AI and robotics, but their processes are blocking any progress. Why no business case makes sense as long as data silos remain.

Generative AI cannot be used ethically as long as training data is used without consent and billionaires control the models.

Agility is ailing in many companies, but it is not dead. Two rescue service schemes show where the pain is and what can help now.

Security requirements stay abstract until a team defines what the system actually protects. CIA goals and threat modeling make it tangible.

If you have bad principles and use AI, you will get worse faster. Why agentic engineering needs more than code generation.

The Blue Angel for software exists and gives measurable values for energy use and hardware life. What the certification costs and returns.

AI systems can be tricked into revealing protected data through clever prompts. Where the points of attack lie and what OWASP recommends.

Why can't LLMs do cause-and-effect? And what does Quality Function Deployment have to do with it? The answer changes how you prioritize testing.

Standards do not make secure software by themselves - but 62443-4-1 shows how security really belongs in the process from the very first design step.

From developer to test automation engineer: Why clean code principles decide which automation lasts for years and which doesn't.

A product test runs long before the magazine appears, with independent purchase and blind tests. Multiple checks mirror software testing.

130 participants, a clear focus on test automation and real practical reports: Why TACON in Leipzig attracts more and more people every year.