ChatGPT Use Cut Student Cognitive Capacity, Study Finds
Students who used ChatGPT lost 47% of their cognitive capacity. What that means for how we work, hire, and build software teams in the AI age.
Podcast: Software Testing, AI and Quality Insights
Listen to expert conversations about software testing, test automation, AI in quality assurance, and modern development practices.
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.
Post-Agile: What Organizations Actually Need Now
Agile meant something once. Now it means almost nothing, and that loss created a real opening for organizational development that actually fits.
What AI Really Does to Trust and Team Dynamics
AI makes team communication more objective, but that isn’t progress. What is lost in terms of trust, empathy, and collaborative thinking—and how teams are countering this trend.
Critical Thinking: The Skill AI Cannot Replace in Testing
Cutting QA teams doesn't eliminate bugs, it just makes users find them first. Here's why communication and critical thinking still matter most.
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.
Strategy First: How AI Enters Regulated Medical Labs
AI in a regulated medical lab sounds like a compliance nightmare. Here is how a strategy-first approach made it work without breaking the rules.
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.
Why COBOL Developers Prefer Writing Tests in Java
COBOL developers said writing unit tests in Java was easier than in their own language. Here's the interface architecture that made that possible on a 60-year-old mainframe.
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.
Why Traditional Testing Fails for AI Systems
Testing a chatbot breaks every rule traditional testing relies on: same input, wildly different outputs, and bugs that live outside the code.
Developing security requirements as a team
Security requirements remain abstract as long as it is clear what the system is supposed to protect. CIA goals, asset analysis and threat modeling as a card game make it tangible.
Why Testers Are Safe Despite AI Hype
AI won't replace testers, but it will shift what they do. Where it saves real effort, where it still needs human control, and why starting now matters.
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.
How to Build QA Culture in Your Company
Building a QA culture takes more than good tools. It starts with listening, then translating what every stakeholder actually means by "quality" into a shared roadmap.
The Blue Angel for software
The Blue Angel for software really exists - and provides measurable values for energy consumption, hardware service life and user autonomy. The costs and benefits of the process.
Why Quality Engineers Fail at Business Thinking
Testers who can't explain what their work costs, or saves, are easy to cut. Here's how business thinking changes that.
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.