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.
Mark Winteringham
Author of AI Assisted Testing/Testing Web APIs. Expert Quality Engineer and teacher on all things testing, quality and automation. My interests are on applied AI and the future of testing and quality.
training
My software testing practise site has had an update
RBP has been updated and given a nice new UI plus some bonus improvements
AI
How Can Gen AI Be Used In Shift Left Activities?
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
The AI area of effect model describes the relationship between us and AI. Learn how it has recently been improved.
AI
Announcing Software Testing with Generative AI
Now in Print with a Special 45% Off!
AI
How do I become competitive with Generate AI as a tester?
Mindset and experimentation is the key to success with AI
AI
How can manual testers take advantage of LLM adoption in testing?
Just because you're 'not technical' doesn't mean you can't benefit from LLMs
AI
Analysing the impact of generative AI using the Laws of Media
How can a mental model from the 70s help us to evaluate the impact of generative AI?
AI
Quality Engineering, Digital Employees and Job Security
Is Generative AI going to take our jobs?
AI
5 lessons I learnt during an AI hackathon
What's it like to be a quality engineer on a team developing an AI product?
strategy
How's the book going Mark?
A brief update of the progress on my book Testing Web APIs
strategy
Testing Web APIs “The book"
I'm proud to announce the launch of my debut book, Testing Web APIs