
AI
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.
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Learn how AI can help improve our understanding of features and our ability to slice work into manageable chunks.
AI
The AI area of effect model describes the relationship between us and AI. Learn how it has recently been improved.
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Now in Print with a Special 45% Off!
AI
Mindset and experimentation is the key to success with AI
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Just because you're 'not technical' doesn't mean you can't benefit from LLMs
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How can a mental model from the 70s help us to evaluate the impact of generative AI?
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Is Generative AI going to take our jobs?
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What's it like to be a quality engineer on a team developing an AI product?
strategy
I'm proud to announce the launch of my debut book, Testing Web APIs
Quality, AI, Software Testing and Development Insights
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
Want to get started with a new API checking framework? Look no further...
Learn how to copy a request from your browser and get it into Postman, fast.
Don't drive your data testing via the UI when you can do it via your API
The conclusion to the is BDD testing series. Where we finally get some answers!
In this post we explore the use of test automation tools within BDD
We continue our exploration into the core of BDD which is conversations and collaboration
Is BDD testing? No. Well, some of the activities involve Testers, but it's not REAL testing, right? Look! It's complicated!