MiMc Testing

Gen-AI is reshaping how we build and ship software — enabling faster demos, real-time iteration, and automation at scale. But in this fast-moving future, QA isn’t just keeping up — it has the chance to lead.   At QonfX, I had the chance to hear Ben Hofferber speak on AI's role in scaling QA, and his session was a standout for me. He shared how QA professionals can drive the adoption of AI in ways that enhance our testing — not replace it. Ben shared how teams are using Gen-AI tools to generate high-fidelity demo apps that look great at first glance. But when testers start to dig in — things break down. That’s the reality: AI has helped us move faster on the development side, but QA hasn’t caught up yet. These demo apps often look finished but are missing resilience, accessibility, or thoughtful edge-case handling. That’s where we come in — and where strong testing fundamentals matter more than ever. Acommon theme among the speakers is that AI testing is powerful - but not plug an...

QA is always evolving — whether it’s new tools or software testing strategies, shifting team structures, changing tech stacks, or evolving business goals. The only constant in this field? Change.   I recently had the pleasure of hearing Robert Sabourin speak at QonfX about leading quality through change. What stuck with me most was how he framed quality — not as a fixed goal, but as something that evolves with context, purpose, and people. Understanding the context of change is essential — especially within your own organization or role. He breaks it down into four pillars:  Business : What business are we really in? Technology : What tech are we using (or being pushed into)? Organization : Who’s in charge? Are we centralized or distributed? Culture : How does where we work (and who we work with) shape how we approach change? To understand the context of your role in the change, you really need active context listening - a practice of listening, learning, and adapting ...

 QonfX was my first in-person conference experience and I wasn't quite sure what to expect going into it. The theme — “The Future of Testing,” with a focus on AI in QA — was right up my alley.  I'm always on the lookout for ways to improve and streamline processes. I figured at the very least, I could gain some insights into what other QA leaders are doing to introduce AI into their workflows, and what I can take back to my own team. And ok maybe I was a little starstruck to see Michael Bolton was going to be present.  My favourite session was Lavanya Mohan’s experiment — building and testing an app entirely with AI tools. She used GitHub Copilot to scaffold a simple app, but most of the heavy lifting of testing came from prompting ChatGPT. The importance of getting the prompt just right was evident in a few comical ways. When she asked ChatGPT to generate 30 unique pizza toppings, it started strong — but by topping #20, it began repeating itself. Classic AI quirk....