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AI is transforming how software is built, but testing AI systems requires an entirely new mindset.

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In this episode, Joe Colantonio sits down with Imran Ali to break down what AI testing really looks like when you're dealing with LLMs, RAG pipelines, and autonomous QA workflows.

You'll learn:

Why traditional pass/fail testing breaks down with LLMs

How to test non-deterministic AI outputs for consistency and accuracy

Practical techniques for detecting hallucinations, grounding issues, and prompt injection risks

How RAG systems change the way testers validate AI-powered applications

Where AI delivers quick wins today—and where human validation still matters

This conversation goes beyond hype and gets into real-world AI testing strategies QA teams are using right now to keep up with AI-generated code, faster release cycles, and DevOps velocity.

If you're a tester, automation engineer, or QA leader wondering how AI changes your role,not replaces it,this episode is your roadmap.

AI Testing LLMs & RAG: What Testers Must Validate with Imran Ali