Quality Sprint: How a Workshop Solves Quality Problems
No report can solve persistent quality issues—but a structured one-day workshop with all stakeholders can. Here’s how it works in practice.
Podcast Software Testing
280+ episodes episodes with testers, developers, and coaches. Sometimes technical, sometimes uncomfortable. One question runs through all of them: what do you actually need to know, now that machines handle the obvious?
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Latest Episodes
Conversations with testers, developers, and coaches who work in the field.
Why Complete Coverage Doesn't Guarantee the Absence of Errors
100% branch coverage achieved—and yet bugs were still found. What this says about code coverage as a metric, and why assertions are crucial.
AI as a Tester: How LLM-as-Judge Works
Automating LLM tests, even though no result is guaranteed? It’s possible—if you redefine determinism and use LLMs as judges.
What Bacteria Do Better Than Your Scrum Team
Avoiding bugs is the wrong strategy. What bacteria and moths teach us about trends, hypotheses, and robustness in software projects.
Vibecoding and the Lack of System Understanding in Practice
The middle tier of developers is disappearing; those who remain need a broad understanding of the system and real depth, rather than just routine “vibe coding.”
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.
Autism in Software Testing: When Talent Hits the Race Track
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.
Automatically Reviewing Documentation with AI Personas
AI Personas as Documentation Testers: What a Simulated Junior Developer with 1.8 Million Tokens Reveals About Where Documentation Really Falls Short.
Architecture Documentation That Really Makes a Difference
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: What It Is—and What It Isn’t
Positive leadership has nothing to do with a “pony farm.” The PERMA model shows how leadership works based on five specific factors.
What AI Really Does to Trust and Team Dynamics
AI makes team communication more objective, and that is not the same as progress. What trust and empathy lose, and how teams push back.
Why German corporations are becoming unable to act
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.
When generative AI violates your own values
Generative AI cannot be used ethically as long as training data is used without consent and billionaires control the models.
Patient agility: Is agile working dying?
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.
Developing security requirements as a team
Security requirements stay abstract until a team defines what the system actually protects. CIA goals and threat modeling make it tangible.
Why agentic engineering changes everything
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
The Blue Angel for software exists and gives measurable values for energy use and hardware life. What the certification costs and returns.
Security tests for AI systems
AI systems can be tricked into revealing protected data through clever prompts. Where the points of attack lie and what OWASP recommends.