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.