The shift from scripting steps to designing prompts and AI guardrails has begun
How is friction helping and not helping software engineering and testing teams?
AI guardrails: Non-negotiable safety or overly cautious "slowdowns"?
Depending on the context, we think in different ways
How do we convince product and project people about the importance of testing?
Deciding what really matters can be hard, yet it doesn't have to be that way
AI's impact on quality generalists vs quality specialists
Hiring managers might not understand the true value of community participation
In the age of AI, for how long should the we test?
A look at the structure and responsibilities of a whole-team quality approach
A look at the structure of embedded quality engineering teams
Itβs more than just a name change. An exploration of the thinking and stories of quality people making the shift.
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