This is the fifth post in the Intelligent Quality Leadership series, and if I'm being honest with myself, I wanted this one to feel different. The first four posts have been heavy on frameworks and thinking models, and while I stand behind every word, I was conscious that we'd been spending a lot of time … Continue reading IQL Practical #1 – Don’t Just Test the Output… Challenge the Reasoning.
Category: ai
AI hasn't solved the quality culture problem. It's made it more complicated. When everyone can generate tests with a prompt, the question of who actually owns quality becomes harder to answer, not easier. This is the fourth post in the Intelligent Quality Leadership series. It explores the Leadership + QE corner of the triangle, where … Continue reading Quality Culture: Shared Ownership Is Harder Now, Not Easier
The rush to automate everything with AI isn’t transformation. It’s just faster mediocrity. Here’s what the QE + AI corner of the triangle actually demands from quality leaders. This is the third post in the Intelligent Quality Leadership series. It explores the QE + AI corner of the triangle, Cognitive Automation. If you’re new to … Continue reading Cognitive Automation: This Isn’t About How Fast You Can Generate Scripts
The AI governance conversation is already happening in your organisation. The question is whether quality has a seat at the table. This is the second post in the Intelligent Quality Leadership series. It builds on the original model and specifically explores the AI + Leadership corner of the triangle. If you’re new to the series, … Continue reading AI Governance and Guardrails: The Conversation Quality Leaders Should Be Leading
Being on the job hunt again, I was keen to keep my hands dirty and be able to share as an example of AI use in interviews. When I left Goodnotes last week, I decided to do something to focus the mind and give me something to look at in the lull of job applications … Continue reading Focus ND – Pairing with AI to Build an App
I've been looking forward to writing this blog since I started this series. AI is not going to go anywhere, so we need to adapt our thinking in the QE/Testing world. The rise of AI is revolutionising how we build, test, and deliver software. Traditional Quality Assurance (QA) practices, focused on validating outputs, are no … Continue reading QA to QE: Rethinking Quality in the Age of AI
