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Simon kicks off this Hot Takes edition with a tour through recent MoTaverse updates, including career growth resources, motivation, quality tooling silos, AI’s impact on definitions of ready/done, and new learning tools.
The main debate centres on whether relying on AI chatbots is reducing human knowledge sharing in the community, with Oleksandr and Gary adding reflections on AI, culture, silos, and evaluation. The second big hot take argues that exploratory testing is not being discussed enough, especially in a world where AI is accelerating code production and increasing the need for skilled human judgement. Demi closes with a practical example of teaching non-testers how to explore an application, after discovering that “just go press the buttons” is not enough guidance.
By Ministry of TestingSimon kicks off this Hot Takes edition with a tour through recent MoTaverse updates, including career growth resources, motivation, quality tooling silos, AI’s impact on definitions of ready/done, and new learning tools.
The main debate centres on whether relying on AI chatbots is reducing human knowledge sharing in the community, with Oleksandr and Gary adding reflections on AI, culture, silos, and evaluation. The second big hot take argues that exploratory testing is not being discussed enough, especially in a world where AI is accelerating code production and increasing the need for skilled human judgement. Demi closes with a practical example of teaching non-testers how to explore an application, after discovering that “just go press the buttons” is not enough guidance.