If you’ve been following me on Linkedin, or indeed have been reading my blog for a while, you’ll know that I’m interested in AI applications. So it’s probably not coming as a total surprise to you that my main learning goals this year evolve around AI evals, “which are systematic tests and measurements to that […]
What I don’t understand about AI evals (yet) Read More »
You know the feature inside out. You have tested it, broken it, rebuilt the test suite around it twice. So you ask the AI to generate a few test cases. Save yourself twenty minutes. What comes back looks reasonable. The structure is right. The naming conventions are close enough. Then you start reading. The first
You were promised speed. You got a new job instead. Read More »
Every time the topic of using AI for code reviews comes up, someone will eventually say that it is like letting the AI mark its own homework. It sounds clever. It also sounds responsible. Underneath it sits a familiar discomfort about oversight, trust, and professional judgement. As an analogy, it points attention away from the
Review as analysis, not authority, when working with AI Read More »
Sometimes I despair about the QA profession. Not because the work is hard, or because quality is complex. Both of those are true, but they always have been. What gets to me is where so much of our collective energy still goes. We have much bigger fish to fry. We have the tools to do
AI did not break testing Read More »
That day I rage quit my project It finally fell apart over a UI reskin. I had an application that mostly worked. It was not polished, but it was coherent, testable, and good enough to keep moving. When I asked the AI to reskin it using my brand colours, what I expected to be a
Stop vibe coding before you delete your repo Read More »
When I look at the current excitement around AI in testing, I cannot help feeling a sense of déjà vu. I felt the same thing when the first wave of no code and low code testing tools arrived. At the time, vendors promised that these tools would democratise testing, eliminate the need for technical skills,
A More Balanced AI Story Read More »
If you work in testing or quality engineering, you know the feeling.You see risks early. You spot patterns before anyone else. You raise concerns because you care about what happens next.And yet the conversation stalls. People nod politely, then move on. It is frustrating. Not because you want attention, but because you want to make
Become the tester people listen to: introducing Stakeholder Ready Read More »
AI has been the background noise of every software conversation lately. Some people treat it as a superpower that will solve everything. Others point to low-quality AI slop online and see it as the end of original thought. I am somewhere in the middle. I use AI a lot, and I trust it for some
AI, curiosity, and a little procrastination Read More »
Every tester has had that moment. You look for guidance on a current problem and end up with advice that feels twenty years old. You find articles on writing test cases in Excel, or long arguments about whether automated testing can ever replace manual testing. It is a little surreal. It is easy to assume
The reason so much testing content feels stuck in the past Read More »
The experimenter’s mindset beats the automation mindset A few months ago, someone at a conference asked me whether I thought testers would still have jobs in five years. It wasn’t a joke. You could hear the anxiety in the room, because the arrival of generative AI has reignited a very old fear in our industry:
Why the Experimenter’s Mindset Outlasts Automation in Software Testing Read More »
