Why do so many ambitious AI-driven testing initiatives fail to deliver real ROI? In this episode, we explore the seven most common pitfalls—from over-reliance on a single AI model to ignoring the importance of data quality and manual oversight. Learn how to integrate AI seamlessly into your CI/CD pipeline, reduce false positives, and focus your QA team where it counts. If you’re looking to streamline your testing process and adopt AI the right way, this episode is for you. 

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Join us on Dean Does QA as I explore Elon Musk’s newly released Grok 3 and its potential to rival established LLM heavyweights like GPT-4o and Gemini. We’ll talk about Multi-LLM RAG (and what it means for QA), Grok 3’s real-time capabilities, and whether 10x compute power truly translates to better testing performance. Tune in for a candid look at the strengths, pitfalls, and untapped potential of this next-gen AI model. 

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Thanks for tuning into this episode of Dean Does QA!

• Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart
• Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners!
• Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]

Curious whether you should prioritize airtight compliance or cutting-edge AI in your testing strategy? In this episode, we dissect the pros and cons of both approaches—exploring how enterprise-grade security stacks up against rapid, AI-driven innovation. Whether you’re a seasoned QA leader or just diving into AI-powered testing, this conversation will help you chart the right path forward. 

Support the show

Thanks for tuning into this episode of Dean Does QA!

• Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart
• Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners!
• Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]

In this episode of Dean Does QA, our AI hosts Dwane and Rachel tackle the question that’s on everyone’s mind: Who’s actually winning the race in AI-powered software testing? Building on our previous discussion about why AI is the future of QA, we examine the growing “AI maturity gap” among testing platforms. Discover the standout leaders dominating the market, the innovative newcomers aiming for the top, and the reasons some legacy players are falling behind. We’ll discuss game-changing features like self-healing test automation, AI-driven test generation, and predictive analytics—plus the hurdles preventing widespread AI adoption. If you’re interested in staying competitive in the rapidly evolving QA landscape, tune in to find out which platforms are shaping the future and how you can stay ahead of the curve! 

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Thanks for tuning into this episode of Dean Does QA!

• Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart
• Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners!
• Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]

In this special episode of Dean Does QA, we unpack the European Union’s groundbreaking €200 billion investment in AI and what it means for the future of software testing. Join our AI hosts Dwane and Rachel as they examine how new funding, emerging European AI models, and high-performance computing resources could help EU-based QA platforms compete with global heavyweights like Functionize and Testim. You’ll also hear insights on how Europe’s ethics-focused regulations could shape the evolution of AI-driven testing—creating both opportunities and hurdles for startups and enterprises alike. If you’re curious about how this massive investment might spark a new era of responsible AI innovation in QA, you won’t want to miss this episode! 

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Thanks for tuning into this episode of Dean Does QA!

• Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart
• Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners!
• Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]

In this very first episode of Dean Does QA, our AI-hosts Dwane and Rachel represent Dean to explore why AI is quickly becoming the new standard in software testing. As release cycles speed up and applications grow more complex, traditional methods can no longer keep pace. Discover how AI-driven testing addresses common QA challenges—like time-consuming manual checks, fragile automation scripts, and limited coverage—by introducing intelligence, self-healing capabilities, and predictive insights.

We’ll discuss the real-world benefits of embracing AI in your QA processes, from self-healing test automation to proactive defect prevention. Whether you’re a seasoned QA engineer, a test automation pro, or simply curious about the future of software quality, this episode offers a practical look at how AI is poised to transform the entire testing landscape. Tune in and learn how to stay ahead in the ever-evolving world of software development!

Support the show

Thanks for tuning into this episode of Dean Does QA!

• Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart
• Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners!
• Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]