About the event
Software once ate the world. Now, AI is devouring software itself and testers are right in the middle of the feast.
AI isn’t just suggesting code anymore – it’s writing, fixing, and refactoring it before you can even say pull request. Development has changed overnight, and testing is next on the menu. The question is: are we leveraging AI as a powerful ally, or are we letting the apex predator roam unchecked in our pipelines?
In this session, we’ll explore how AI is reshaping both software development and testing. From generating test cases and accelerating automation to sneaking in helpful changes we may not fully understand, AI brings both opportunity and risk. We’ll look at where it genuinely makes us more productive and where blind trust could be dangerous.
Expect insights, examples, and a healthy dose of humour as we examine:
- How AI shifts the balance between development and testing
- When testers can safely rely on AI-generated assets
- The traps, biases, and “black box” risks every tester should watch for
Join us to learn how to work with the apex tech predator, without getting eaten alive.
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