Dean does QA
Business og økonomiVitenskapTeknologiJoin Dean, a seasoned Software Tester and dedicated AI enthusiast, as he shares his journey and insights into the world of AI in software testing. This weekly podcast, "Dean Does QA," features engaging discussions with AI hosts Dwane and Rachel, who bring to life Dean's written content published on LinkedIn (@deanbodart).Dive into the latest trends in AI-driven Software Testing, Automation, and Quality Assurance. Each episode explores cutting-edge QA strategies, in-depth industry analysis, real-life use cases and groundbreaking AI-powered testing innovations.Get actionable insights to stay ahead in the rapidly evolving software landscape.Whether you're a QA engineer, test manager, developer, or an AI enthusiast, "Dean Does QA" delivers practical knowledge, expert opinions, and engaging conversations rooted in thorough research. Tune in to empower your testing approach with the future of AI.
Siste episoder av Dean does QA podcast
- Coinbase's CEO Fired People Over AI. Was He Right? The Surprising Truth About MIT's 95% Failure Rate (00:55:14)
A viral headline claims 95% of enterprise AI pilots are failing. But is this a sign of an overhyped bubble, or a just misunderstanding of a necessary transition? In this deep-dive episode, we deconstruct the "95% failure" myth, revealing how AI isn't failing, but rather exposing the weak points in our organizations. We explore the "J-Curve" of AI adoption, a phenomenon where short-term productivity dips are a painful but essential prerequisite for long-term gains. This is a story of organizat...
- Booking.com for AI Agents: Why Your Next User Is a Robot and The Challenges of Testing Probabilistic AI Systems (00:49:23)
Is your next website visitor a human or a robot? It's a question that sounds like science fiction but is a live challenge for every software professional today. In this episode, we dive into a groundbreaking concept: the "dual imperative" of designing for both human users and a new, invisible army of AI agents. Inspired by the visionary thinking around companies like Booking.com, we explore a revolutionary "two-layer approach" to application architecture. You'll learn about: The Agent-Readabl...
- OpenAI Just Declared War on the Big 4: Is Your Consulting Firm Next? (01:06:14)
You might think you've heard it all about OpenAI's move into enterprise consulting. "Just another tech company offering services," right? Think again! In this explosive episode, we peel back the layers of what many consider "old news" to reveal a strategic earthquake that's fundamentally reshaping the entire consulting industry. Join us as we dive deep into OpenAI's audacious $10M+ direct-to-client AI consulting business, where their own elite engineers are embedding within client organizatio...
- Klarna's $40B AI Gamble: Why Even Tech Giants Are Bringing Humans Back + What It Means for YOUR Business! (00:22:37)
The promise of AI: unprecedented efficiency and massive cost savings. But what happens when the AI dream meets the messy reality of human interaction? Klarna, the fintech powerhouse, offers a compelling, cautionary tale. After a bold move to replace hundreds of human customer service agents with AI, they're now making a strategic U-turn, openly admitting that prioritizing cost over quality led to a decline in customer experience. This isn't just Klarna's story; it's a critical lesson for ever...
- Game over for NVIDIA? Reddit Says This AI Memory Hack Saves You Millions on AI Infrastructure (00:45:39)
Are you tired of skyrocketing AI infrastructure costs? What if a viral Reddit idea could change everything? In this episode, we dive into Memvid, a groundbreaking open-source project that's turning AI memory on its head by using video compression. Imagine storing millions of text documents as a single, tiny MP4 file, then searching it in milliseconds – all without expensive GPUs or complex databases. We reveal the real-world experiment where 10,000 PDFs were compressed to just 1.4GB, slashing...
- What Amazon Knows About MCP That You Don’t: 3 Game-Changing AI Techniques for DevOps (00:40:22)
Have you ever encountered the acronym "MCP" in the context of AI for DevOps and felt a little lost? You're not alone! While seemingly ambiguous, MCP actually refers to three distinct, yet equally critical, techniques that are revolutionizing how we develop, test, and deploy software with AI. In this episode, we'll demystify MCP, breaking down its three powerful interpretations: Model Compression and Pruning (MCP): The Efficiency Imperative. Discover how optimizing AI models, particularly larg...
- Your SDLC is Dead, How Outbrain & UiPath are Building Flawless Software, Faster with Agentic AI (00:21:21)
We dive deep into the world of Agentic AI and its radical impact on software development. We uncover how leading companies like Outbrain and UiPath are already leveraging autonomous AI systems to build flawless software, faster, fundamentally transforming their QA and CI/CD pipelines. Forget old-school automation. This episode explores the shift to proactive, goal-driven AI that can generate tests, self-heal scripts, and even detect complex defects before they become costly problems. Discover...
- According to Yahoo, AI Forces Software Testers to Shift Left into Extinction (00:18:09)
The world of software development is rapidly changing, driven by "Shift Left" methodologies and the powerful influence of Artificial Intelligence. Are traditional software testers becoming obsolete? In this episode, we explore the provocative idea that the core job of a software tester is indeed on a path to extinction, as developers and analysts, empowered by AI, increasingly take on testing responsibilities. Join us as we unpack: The "Shift Left" imperative: how moving testing earlier in th...
- Meta Proves the Testing Pyramid Is Dead with Sapienz AI (00:21:18)
In this episode, we examine how Meta's autonomous testing agent, Sapienz, is redefining software testing strategy and rendering the classic Testing Pyramid increasingly irrelevant. Once a foundational model in agile and DevOps environments, the pyramid prioritized a heavy reliance on unit tests with fewer integration and end-to-end tests. That hierarchy no longer reflects the capabilities or constraints of modern AI-powered testing. We explore the academic rationale behind the original model ...
- Goldman Sachs Boosts Test Coverage by 40% Using RAG AI. Is Your QA Next? (00:19:44)
In this episode, we dive deep into how cutting-edge AI techniques — Self-RAG (Self-Reflective Retrieval-Augmented Generation) and Agentic RAG — are fundamentally transforming the software testing landscape. From increasing test coverage by 40% at Goldman Sachs to enabling autonomous exploratory agents that simulate users in real-time, AI is no longer a futuristic idea in QA — it’s here and it's powerful. Join us as we explore: What RAG, Self-RAG, and Agentic RAG really areHow they reduce test...
- AI-powered Software Testing: Lessons from Siemens & Shopify (00:26:57)
In this episode, we explore how artificial intelligence is fundamentally reshaping the software testing landscape. We start with Shopify’s 2025 directive requiring teams to prove that AI cannot handle a task before hiring a new employee. We then examine how Siemens Digital Industries Software is embedding AI into its Tessent testing tools, using analytical, predictive, and generative AI to optimize chip and software testing. Topics covered include the current pace of AI adoption in testing, p...
- Will AI Kill or Create Jobs in Software Testing? (00:18:03)
AI is changing everything, including the world of software testing. In this episode, we break down the real impact of AI on testing careers: Will it eliminate jobs or create better ones? We explore global trends, short- and long-term forecasts, emerging QA roles, essential new skills, and expert insights from WEF, Gartner, McKinsey, and more. Whether you're a manual tester, SDET, or team lead, this one's for you. 🔍 Learn how to future-proof your testing career and thrive in the age of AI. Sup...
- Digital Twins in Software Testing and the Elusive Replica of Human Expertise (00:24:36)
In this episode, we dive deep into one of the most provocative questions in the world of digital transformation: can AI-powered digital twins ever replicate the mind of a human software tester? Digital twins have transformed industries like aerospace, manufacturing, and healthcare. Now, the software world is asking whether we can virtualize not only the systems under test but the testers themselves. But behind the hype lies a set of cognitive, ethical, and technical challenges that most conve...
- The Silent Collapse of SaaS: How AI Agents Are Rewriting the Software Playbook (00:32:41)
In this episode of Dean Does QA, I walk through the research and analysis behind my latest article on the dismantling of the SaaS model. From AI copilots to fully autonomous operators, I break down the three phases of this transformation, how traditional SaaS metrics are becoming misleading, and why the next generation of software may not look like software at all. We explore: How AI agents are bypassing user interfacesWhy workflows and expertise are being unbundled from softwareThe implicati...
- Generative AI’s Growing Pains in Historical Perspective (00:19:31)
Are generative AI’s skeptics right to question its cost, energy use, and unclear business model? In this episode, we dig into the historical parallels between today’s AI challenges and the rocky beginnings of railroads, electricity, and the internet. We examine how previous breakthrough technologies also faced hype, bubbles, and early doubts before reshaping entire industries. If you are curious whether generative AI’s current setbacks are a sign of failure or a natural phase in a large...
- AI Advancements Revolutionizing Software Testing: GPT-4.5 and Multi-LLM (00:26:24)
Is GPT-4.5 poised to revolutionize your testing pipeline? Join us in this episode as we delve into the latest multi-LLM advancements boosting QA automation, code analysis, and defect detection. We break down the real-world performance gains, highlight how tools like GPT-4.5 integrate with open-source models, and explore the competitive landscape reshaping software quality. If you’re curious about AI-driven testing—and the cutting-edge multi-LLM platforms propelling it—this is a conversation y...
- AI-Driven Software Testing, What Companies Get Wrong! (00:24:20)
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. Support the s...
- Could Grok 3 Be the Future of AI-Driven Software Testing? (00:24:22)
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. Support the show Thanks for tuning into this episode of Dean Does ...
- Enterprise-Ready or AI-First? The Two Paths of QA Evolution (00:22:00)
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 D...
- The AI Maturity Gap in Software Testing: Who’s Leading? (00:18:02)
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 featu...
- The Impact of the EU’s €200B AI Investment on Software Testing (00:18:01)
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 evolutio...
- Why AI in Software Testing is the Future (00:17:17)
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 insight...