AI in Testing: The Focus Shifts from Writing to Testing
AI in testing writes tests, explores apps and generates test data. It also becomes a test object itself, from chatbots to RAG search.
Blog: Latest Articles and Insights
Thoughts and insights on software testing, quality assurance, and the future of technology.
Sometimes You Win Later: Failure Is a Decision
Failure is not a state, it is a decision. What an improv lesson teaches about quitting, sticking with it, and three small questions that help.
Faster Horses: Why AI Rewards Teams That Talk to Each Other
Using AI for our old tasks just gives us faster horses. As the next abstraction layer, AI rewards precise intent and teams that talk to each other.
Agile Ways of Working: Why It's Time for Real Agile
Agile ways of working spark more eye rolls than motivation today. Agile isn't dead, though: now is the time for real agile that is individual and human.
Between Pride and Throwaway Software: Ownership Takes Work
Simply accepting AI output creates no bond with the result. Ownership of code, architecture and tests grows from working through them yourself.
The Great Compression: When AI Leaves No Time to Think
Kamchatka 2008 with books instead of a ChatGPT itinerary: what the double compression of time and work does to us, and why deliberate brakes help.
AI: Are We Solving the Problems That Matter?
AI generates movies and apps while teams drown in legacy code. Why we should use AI for the problems that actually hurt, not for demos.
We Need More Boredom: Why Idle Time Sparks Ideas
A waiting room without a smartphone, and suddenly a thought appears. Why our brains need idle time and why boredom is an incubator for ideas.
Risks of Open Source Software: Licenses, Support and Testing
The risks of open source software go beyond cost: licenses, maintenance, support and quality. So test it yourself and give back to the community.
AI Hype Cycle: How to Stay Relaxed but Mindful
Caught in the AI hype cycle? Total refusal rarely works. Small steps and Gartner's model help you stay calm and alert amid the constant AI noise.
AI and Learning: What We Lose When We Only Take the Output
AI delivers results fast, and the learning process passes us by. Testers grow through questions, debugging and system knowledge, not generated tests.
Testability: Why Software Architecture Must Keep Evolving
Software architecture is a cornerstone of testability and has to keep evolving. That works best when testers and architects talk, ideally over coffee.
Why I Don't Despair: Focus, Distance and a Bit of Stoicism
AI text floods and vibe coding can feel overwhelming. Three things keep me calm: shifting my focus, taking a step back and the ideas of the Stoics.
Testers in the AI Era: Interpreters Between Code and People
The future of testing lies not in better tools but in humanity. Why testers are the interpreters between AI, code, and the people behind it.
Mindset in Agile Teams: Neither Right nor Wrong
Every mindset grows from experience in the reality loop. A coach who calls a team's attitude wrong is dodging the actual job and their own agile values.
AI Programming Languages: Must Code Stay Human-Readable?
Should AI programming languages stay readable for humans? If AI writes the code, compilers and syntax may change. What that leaves for developers.
Requirements Engineering: Every Test Case Design Is a Review
Requirements engineering decides how good testing can be. Test case design exposes gaps, and traceability shows which tests a change affects.
Software Developer Responsibility: Designers of Our World
Software developer responsibility grows as code shapes safety, fairness and daily life. Whoever designs the modern world has to weigh what they build.