We Were Building Slop by Hand for Decades
Software slop predates AI: legacy systems are full of dead weight. With AI, the real payoff now lies in cleaning up and slimming down existing software.
Blog: Latest Articles and Insights
Thoughts and insights on software testing, quality assurance, and the future of technology.
Many Small Loops: Feedback That Hardens Agent Output
Agentic QA holds up through many small feedback loops in the process instead of one big test gate at the end. Three ideas for where a team can start.
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.
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.