TestGuild Automation Podcast

As AI tools like Copilot, Claude, and Cursor start writing more of our code, the biggest challenge isn't generating software — it's trusting it. In this episode, JP (Jayaprabhakar) Kadarkarai, founder of FizzBee, joins Joe Colantonio to explore how autonomous, model-based testing can validate AI-generated software automatically and help teams ship with confidence. FizzBee uses a unique approach that connects design, code, and behavior into one continuous feedback loop — automatically testing for concurrency issues and validating that your implementation matches your intent. You'll discover: Why AI-generated code can't be trusted without validation How model-based testing works and why it's crucial for AI-driven development The difference between example-based and property-based testing How FizzBee detects concurrency bugs without intrusive tracing Why autonomous testing is becoming mandatory for the AI era Whether you're a software tester, DevOps engineer, or automation architect, this conversation will change how you think about testing in the age of AI-generated code.

In this Halloween special, Joe Colantonio and Paul Grossman discuss the evolution of automation testing, focusing on the integration of AI tools, project management strategies, and the importance of custom logging. Paul shares insights from his recent job experience, detailing how he inherited a project and the challenges he faced. Paul also goes over his Optimus Prime framework and uses it to explore various automation tools, the significance of dynamic waiting, and how to handle test case collisions. The discussion also highlights the role of AI in enhancing automation frameworks and the importance of version control in software development.

Vasusen Patil, Co-founder and CEO of Donobu, brings a wealth of experience from his engineering roots and automation leadership at Coursera. He introduces "Vibe Testing," an AI-driven method that allows Playwright tests to adapt and self-heal from UI changes intelligently. Discover how this approach minimizes flakiness, enhances tester control, and combines visual assertions with contextual understanding. Vasusen also shares insights on balancing automation with human oversight and the philosophy behind Donobu's local-first model.

In this engaging discussion, Naeem Malik, a seasoned test automation engineer with 15 years of experience, dives into the powerful capabilities of Playwright. He reveals how it unifies UI and API testing, drastically improving test reliability and speed. Discover techniques to simplify test maintenance, leverage API requests for efficient setups, and create hybrid tests that validate both front-end and back-end seamlessly. Naeem's practical insights will change how teams approach testing, making high-quality applications more achievable.

Are your tests falling behind your requirements? Check out our new AI Requirement course here: https://testguild.me/aireqcourse In this special highlight episode, Joe Colantonio shares lessons from a new course created with Keysight: Turning Requirements into Reliable Tests with AI-Augmented Design. You'll hear from AI strategist Noelle Russell, Keysight's Chief AI Officer Jonathon Wright, and product expert Ian Sharp as they explore: Why responsible AI is like raising a baby tiger — exciting but dangerous if ignored. The hidden costs of manual test design and why happy-path testing isn't enough. How AI-powered tools like Keysight Generator transform natural language requirements into reliable, traceable test cases in minutes. If you're a tester, automation engineer, or QA leader looking to cut weeks of manual scripting, improve coverage, and finally align tests with real requirements — this episode is for you. Check out the full Keysight course here: https://testguild.me/aireqcourse Become one of our Automation Guild 2026 speakers: https://testguild.me/agspeak

Scaling CI/CD for mobile apps is hard. Faster test runs often lead to more tests, more infrastructure, and more complexity. So how do you keep your pipelines healthy and reliable while still shipping at speed? In this episode, we sit down with Anton Malinski of Marathon Labs to explore the real-world lessons he's learned building and optimizing mobile CI/CD pipelines. You'll discover: How to scale mobile test automation without introducing friction What "healthy CI growth" looks like in practice Why real devices still matter, even with a massive emulator fleet How backend mocking and dedicated mobile API gateways transform shift-left testing Practical advice for teams evolving from weekly releases to on-every-commit confidence Whether you're a QA leader, automation engineer, or DevOps practitioner, this conversation gives you the insights and metrics you need to take your mobile testing pipelines to the next level.

In this episode of the TestGuild Automation Podcast, Joe Colantonio sits down with Jason Huggins—the original creator of early versions Selenium, Appium, and Sauce Labs—to discuss his latest project: Vibium. Not sure what tool to use? Try my free Test Tool Matcher now: https://testguild.me/toolmatch Jason describes Vibium as "Selenium for AI," designed to fix flaky WebDriver tests and leverage AI for smarter, model-based testing. We explore why AI-driven automation is the next wave, how WebDriver BiDi changes the game, and what QA leaders need to know about the rise of "vibe coding." If you've been wondering what comes after Selenium and Playwright, this is a must-listen. Get insider insights from the creator who helped shape modern testing—and is now building its AI-powered future.

Ben Fellows, founder of LoopQA and a QA thought leader, joins the discussion on how AI is transforming test automation. He reveals how AI can reduce hours of coding to minutes, boosting code output significantly. Ben contrasts augmented coding with traditional methods, emphasizing Playwright's advantages in automation. He also discusses the future of QA, predicting a move towards natural-language and image-based testing by 2026. Listeners will gain practical insights on leveraging AI tools to improve productivity and adapt to evolving roles in QA.

Jim Trentadue, a veteran QA leader with nearly three decades of experience, shares insights on navigating the evolving landscape of software testing. He emphasizes the need for testers to embrace AI and automation, stating that skills like prompt engineering are now essential. Jim debates the shift of testers towards development and the importance of preserving testing expertise. He also discusses the risks and rewards of AI in testing, the need for operationalizing AI in sprints, and the value of practical mentorship and in-person community events.

In the age of AI, the role of software testers is evolving fast. Don't miss the QA Summit: https://testguild.me/qasummit As more repetitive tasks are automated or handled by AI, the testers who will stand out are those who lead, influence, and bring deep subject matter expertise to their teams. In this exclusive replay from a private Automation Guild 2025 monthly gathering, testing leader Mike Lyles shares exactly how to build those skills — and position yourself for long-term success in the AI era. You'll learn how to expand your leadership influence, strengthen your domain expertise, and future-proof your career as testing continues to evolve. Normally reserved for year-round Automation Guild members, this session is a rare peek into the kind of ongoing training and community support that keeps testers sharp all year long. If you want to be part of conversations like this — plus dozens of expert sessions, networking opportunities, and live Q&A,, keep your eyes open for Automation Guild 2026 early bird registration.