Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the entire development lifecycle

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?

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback

AI guardrails: Non-negotiable safety or overly cautious "slowdowns"?

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

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

Learn how focusing on user value and trust gives you a clearer, more effective way to test data quality