When not to use AI
Generative AI is a powerful tool—but only if you know when not to use it. In this post, we explore a simple model that helps you decide whether AI will boost your testing or lead you off track.
Quality, AI, Software Testing and Development Insights
Generative AI is a powerful tool—but only if you know when not to use it. In this post, we explore a simple model that helps you decide whether AI will boost your testing or lead you off track.
Learn how AI can help improve our understanding of features and our ability to slice work into manageable chunks.
The AI area of effect model describes the relationship between us and AI. Learn how it has recently been improved.
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Mindset and experimentation is the key to success with AI
Just because you're 'not technical' doesn't mean you can't benefit from LLMs
How can a mental model from the 70s help us to evaluate the impact of generative AI?
Is Generative AI going to take our jobs?
What's it like to be a quality engineer on a team developing an AI product?
I'm proud to announce the launch of my debut book, Testing Web APIs
The Automation pyramid does have value, but not in the way teams typically use it.
Learn how to use web proxy tools to diagnose issues with your automated API checks.
Code coverage doesn't mean risk coverage...
You get an API testing demo, you get an API testing demo, everybody gets an API testing demo!
Build a simple monitor tool for your testing needs in minutes