Show overview
TestGuild Automation Podcast has been publishing since 2014, and across the 12 years since has built a catalogue of 606 episodes. That works out to roughly 320 hours of audio in total. Releases follow a weekly cadence.
Episodes typically run twenty to thirty-five minutes — most land between 28 min and 36 min — and the run-time is fairly consistent across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Technology show.
The show is actively publishing — the most recent episode landed 5 days ago, with 28 episodes already out so far this year. Published by Joe Colantonio.
From the publisher
TestGuild Automation Podcast (formally Test Talks) is a weekly podcast hosted by Joe Colantonio, which geeks out on all things software test automation. TestGuild Automation covers news found in the testing space, reviews books about automation, and speaks with some of the thought leaders in the test automation field. We'll aim to interview some of today's most successful and inspiring software engineers, and test automation thought leaders.
Latest Episodes
View all 606 episodesWhy IoT Testing Proves Manual Testing Never Died with Oleksii Cherkashyn
Testing AI: Engineering Confidence in Non-Deterministic Systems with Jason Arbon
Playwright With AI: How to Automate Tests Without Shipping AI Slop with Andrew Knight
Test Automation Won't Save Your QA Career, but These Skills Will with Keith Klain
AI Testing Strategy: Stop Being a Cost Center, Start Protecting Revenue with Nandini Srinivasan
How to Move from Prompt Engineering to Harness Engineering in Testing with Matt Wynne
Agentic Engineering for Testers: How to Automate Your Way to the Top with Amit Rawat
How to Test Any API Without Documentation with Liudas Jankauskas
Your AI Code Review Is Lying to You (Here's the Fix) with Evan Marshall
AI QA Agents Explained: How Amikoo Helps Testers with Ivan Barajas Vargas
The AI Illusion: Why Testing Still Needs Humans with Joe Colantonio
AI Agents in QA: How to Keep Up with AI-Driven Dev Velocity with Vilhelm von Ehrenheim
Maestro MCP, AI Mobile Testing That Fixes Its Own Tests with Leland Takamine
AI Testing Costs, How to Prevent Runaway Token Bills with Arthur Hicken
Stop Rewriting Tests: How to Add AI to Selenium and Playwright Without Starting Over with Alex Rodionov
Claude AI Mobile Testing, Run Real Device Tests with AI with Frank Moyer and Chris Faulhaber
AI Testing Is Breaking Your Pipeline. Fix Quality Before It's Too Late with Eric Minick
Scaling Quality Engineering: How to Deliver Faster Across Global Teams with Sunita McCoy
Ep 583Mobile Test Automation is Broken. Here's How QApilot Fixes It with Aditya Challa
Mobile test automation is still one of the biggest bottlenecks in modern software delivery. In this interview, QApilot's Co-founder Aditya Challa explains why most AI testing approaches fail and how to fix them. Learn more about QApilot: https://links.testguild.com/flutterqa If your mobile tests are flaky, slow, or hard to trust, you're not alone. Most teams are trying to apply LLM-based AI to problems that actually require deterministic reliability—and that's where things break down. In this video, you'll learn: Why mobile test automation breaks at scale The real issue with "99% accurate" AI in testing LLMs vs deterministic AI (and why it matters for mobile apps) How flaky tests destroy confidence in your pipeline How QApilot approaches mobile testing differently What reliable, scalable mobile automation should look like What this means for you: Fewer false positives, faster releases, and mobile tests you can actually trust. 00:00 Why Mobile Test Automation Is Still Broken 01:10 QApilot Overview 01:51 Why Mobile Testing Tools Fail 03:13 Why Appium Isn't Enough 05:09 QApilot's Approach to Mobile Testing 07:10 Scaling Mobile Testing Across Devices 08:02 Autonomous Testing + Human in the Loop 10:55 How QApilot Works (Architecture + Agents) 13:45 Real Example: Mobile App Crawling in Action 16:31 Finding Bugs Automatically (Performance + Accessibility) 18:52 Device Farms & Real Device Testing 21:50 Future of Mobile Testing (SRE + AI + Quality Layer) 27:06 Real Customer Results & Case Study 31:02 Why QApilot Focuses Only on Mobile 34:04 Where QApilot Fits in CI/CD 36:00 How to Try QApilot + Final Advice
AI Testing: How Solo Testers Stay Confident in Releases with Christine Pinto
Are you the only tester on your team—and expected to ensure quality across everything? In this episode, we break down the growing challenge of solo QA testing in the age of AI-driven development—where code is generated faster than ever, but confidence hasn't caught up. Christine Pinto shares real-world insights from her experience as a solo tester and now as a founder building tools designed to help testers reduce risk, collaborate better, and make smarter release decisions. You'll learn: Why "all tests passing" doesn't mean your product is safe The hidden risks of AI-generated code and test automation How to shift from test coverage to risk-based testing Practical ways solo testers can avoid burnout and isolation How to bring collaboration back into QA—even if you're the only tester Why better requirements still matter more than better AI