TestGuild Automation Podcast

Amit Rawat is an agentic engineer who spent two decades in QA before shifting fully into building AI agents. He's the creator of PromptWright, a desktop tool that turns natural language prompts into automated Playwright browser tests, complete with screen recording, Gherkin scenario generation, and self-healing locators. In this episode, Amit and Joe get into what it actually takes to work with AI...

Most API testing stops at the happy path. The problem is that the bugs that actually hurt you in production are sitting in everything many testers skip, like the boundary values, the oversized payloads, the missing tokens, the security headers, the inputs that make no sense at all. In this episode, Joe sits down with Liudas Jankauskas, who has spent almost twenty years breaking software and testin...

Your AI code review tools read the diff. They stare at your code. But they never actually run it. So the bugs that only show up at runtime, the broken user flows, the bad query plan, the duplicate submission, sail right past review and land in front of your customers. In this episode, Joe Colantonio sits down with Evan Marshall, founder of Ito and a fifteen year engineer who spent five years in ap...

What happens to QA when AI is writing ten times more code than your team can test? That is the exact problem Ivan Barajas Vargas set out to solve with Amikoo, a purpose-built AI QA agent designed to help testers, SDETs, and even developers move faster without sacrificing coverage or quality. Ivan is no stranger to AI in testing. Before generative AI became mainstream, he co-founded MuukTest, a tes...

Everyone is talking about AI replacing testers, writing tests, and transforming software quality. But what if we're asking the wrong question? In this solo episode, Joe Colantonio shares a growing concern he's seen while traveling across the country for TestGuild IRL events: a decline in testing fundamentals at the exact moment AI hype is reaching a fever pitch. Drawing insights from Carissa Véliz...

AI coding tools promised to make development faster — and they delivered. But here's the problem nobody talks about enough: when you speed up coding, you don't eliminate the bottleneck in the SDLC. You just move it. And for most teams, it lands squarely in QA. In this episode, Joe sits down with Vilhelm von Ehrenheim, Co-founder and Chief AI Officer of QA.tech, to dig into how agentic AI is reshap...

What happens when AI agents can not only write mobile app code, but also validate their own work automatically? In this episode, I sit down with  Maestro  Co-founder and CEO  Leland Takamine  to explore one of the biggest shifts happening in software testing right now: agentic mobile testing. Leland shares how his team went from solving mobile performance testing challenges to building one of the...

AI-powered testing tools are exploding across software engineering teams… but so are the hidden costs. In this episode, Joe sits down with Arthur Hicken to unpack the growing problem of runaway AI token usage, unexpected LLM billing, and the operational risks of deploying AI agents into testing and DevOps pipelines. Inspired by Arthur's article on the emerging "Token Tax," this conversation explor...

AI-powered testing tools promise faster automation and less maintenance, but most require teams to abandon their existing frameworks. In this episode, we explore  Alumnium , an opensource AI-native end-to-end testing solution created by  Alex Rodionov,  an engineer at  Airbnb  and a tech lead on the  Selenium  project. Instead of replacing tools like  Playwright  or Selenium, Alumnium adds an AI l...

AI is changing how we build and test software, but most teams are still struggling to turn AI-generated tests into real production value. Use code TESTGUILD3 try for yourself free now for 3 months: https://links.testguild.com/Kobiton In this episode, we break down what actually works when it comes to AI-powered mobile test automation, especially when running tests on real devices not simulators fr...

AI coding tools are helping teams move faster than ever, but there's a hidden cost. In this episode, we break down new insights from a DevOps industry report revealing a growing "velocity paradox" : teams are shipping more code, but experiencing more failures, rollbacks, and burnout. You'll discover why AI adoption is heavily skewed toward coding, but not testing, pipelines, or observability, and...

AI is changing how we build and test software, but most teams are struggling to turn that promise into real results. In this episode, we break down what it actually takes to scale quality engineering across global teams without creating bottlenecks, burnout, or broken processes. You'll learn: why most test automation and transformation initiatives fail how to separate AI hype from reality what hig...

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 pr...

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 he...

What if your production logs could automatically generate new test cases? In this episode, Joe Colantonio sits down with Tanvi Mittal to break down how AI-powered log mining is changing the way teams approach software testing, quality engineering, and DevOps. Most teams ignore production logs or use them only for debugging. But those logs contain real user behavior, real failures, and real edge ca...

How do you ensure software quality when the system you're testing doesn't give the same output twice? Go to https://links.testguild.com/inflectra and start your free 30-day trial, no credit card, no contract required. That's the core challenge facing every QA team building or testing AI-powered applications today and it's breaking all the rules we've relied on for decades. In this episode of the T...

What does it really take to build a test automation tool that millions of testers rely on, without venture capital, paid ads, or a massive team? In this episode, we explore how SelectorsHub grew into one of the most widely used productivity tools in software testing, reaching over 1.6 million testers worldwide. You'll discover: How to build test automation tools that solve real QA pain Why communi...

AI test automation is evolving fast — but most tools still generate brittle code that breaks with every UI change. See it for yourself now:  https://links.testguild.com/Thunders In this episode of the TestGuild Podcast, Joe Colantonio sits down with Karim Jouini, founder of Thunders, to explore a radically different approach to AI testing: executing test automation in plain English without generat...

Is traditional performance testing becoming obsolete? In this episode, performance engineering expert Akash Thakur shares why AI is fundamentally transforming load testing, scripting, observability, and shift-left strategies. With 17 years of real-world enterprise experience, Akash explains how AI-augmented tools are already reducing scripting time by 30%, improving analysis speed, and helping tea...

Most teams find defects after the damage is done — during regression, late-stage testing, or production incidents. That's expensive, stressful, and completely avoidable. Try Spec2Test AI now:  https://testguild.me/spec2testdemo In this episode, Joe Colantonio sits down with Missy Trumpler, CEO of AgileAILabs, to explore how Spec2TestAI helps teams prevent defects before code ships by applying AI d...

Performance testing often fails for one simple reason: teams can't see where the slowdown actually happens. In this episode, we explore Locust load testing and why Python-based performance testing is becoming the go-to choice for modern DevOps, QA, and SRE teams. You'll learn how Locust enables highly realistic user behavior, massive concurrency, and distributed load testing — without the overhead...

AI testing is everywhere — but clarity isn't. In this episode, Joe Colantonio breaks down the real test automation trends for 2026, based on data from 40,000+ testers, 510 live Q&A questions, and 50+ interviews with industry leaders. This isn't vendor hype or futuristic speculation. It's what working testers are actually worried about — and what they're doing next. You'll learn: Why 72.8% of teste...

This is a special end-of-year episode of the Automation Testing Podcast. With family in town and a busy holiday season, Joe didn't want to skip a week without checking in and saying thank you to the TestGuild community. In this short episode, Joe shares: A huge milestone as the podcast approaches its 13-year anniversary Why the Automation Testing Podcast is moving from Sundays to Tuesdays starting...

AI is transforming how software is built, but testing AI systems requires an entirely new mindset. Don't miss AutomationGuild 2026 - Register Now:   https://testguild.me/podag26 Use code TestGuildPod20 to get 20% off your ticket. 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 w...

What if understanding your codebase was no longer a blocker for great testing? Most testers were trained to work around the code — clicking through UIs, guessing selectors, and relying on outdated docs or developer explanations. In this episode, Playwright expert Ben Fellows flip that model on its head. Using AI tools like Cursor, testers can now explore the codebase directly — asking questions, u...