TestGuild Automation Testing Podcast

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 ...

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 test automation platform built on symb...

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's book Prophecy: Prediction, Power...

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 reshaping software testing from the...

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 ...

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. In...

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 ...

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:
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In this episode, we ...

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...

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:

...

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 requi...

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,...

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 cases—the exact scenarios ...

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 Tes...

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 community-driven development beats ch...

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 generating Selenium or Playwrigh...

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 teams move from reactive performance t...

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 directly to requirements.

...

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 of traditional enterprise to...