Michelle Duke - Ensuring quality in an AI-driven world

Michelle Duke walks through how developers can work effectively with AI while maintaining strong testing practices. She covers the testing pyramid, the evolution of testing, the dangers of uncritical AI use, and how to collaborate with tools like GitHub Copilot without losing human judgment. 📚 ## Chapters 00:52 Why quality testing matters in an AI driven world 03:09 Foundations of modern testing: the testing pyramid and what each layer provides 04:10 Deep dive into testing types: unit, integration, functional, end to end, performance, smoke 05:49 Why we test: ensuring intended behaviour, longevity and confidence in software systems 06:38 A brief history of debugging and how testing has evolved over decades 07:33 The AI hype cycle: inflated claims, misunderstandings, and what AI actually can and cannot do 09:41 The danger of uncritical AI usage: the “business idiot” era and the need for critical thinking 11:13 Human strengths vs AI strengths: empathy, reasoning, and the role developers still play 13:53 The evolution toward AI driven quality assurance and shifting developer roles 14:56 Practical example: collaborating with AI tools like GitHub Copilot to modify and test code 17:52 Using AI to debug, run tests, and understand failures while retaining human oversight 18:41 Productivity studies: measuring the real impact of AI on speed, code quality and developer output https://x.com/mishmanners https://bsky.app/profile/mishmanners.tech https://laracon.au