AI is changing how we build and test software, but most teams are still struggling to turn AI-generated tests into real production value.

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In this episode, we break down what actually works when it comes to AI-powered mobile test automation, especially when running tests on real devices not simulators from Claude.

You'll learn:

How teams are generating and running Appium tests using natural language in minutes
Why AI-generated tests often fail—and how to avoid costly false positives
The real impact of AI on test automation roles and responsibilities
How real device testing exposes issues AI alone can't catch
Practical ways to reduce test maintenance while increasing coverage

We also explore a major shift happening right now: AI is making it easier to create tests—but dramatically increasing the volume of code and risk that needs to be validated.

That means one thing: Testing isn't going away—it's becoming more critical than ever.

If you're a QA engineer, automation engineer, or DevOps leader trying to keep up with AI-driven development, this episode will give you a clear, practical perspective on what to focus on next.