AI Agents in QA: How to Keep Up with AI-Driven Dev Velocity with Vilhelm von Ehrenheim

About This Episode:

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 ground up. Vilhelm brings serious ML credibility, he helped build Motherbrain, one of the earliest production LLM systems in venture capital, and he’s now applying that experience to one of the hardest problems in software delivery: testing at AI development velocity.

You’ll learn how QA.tech’s behavioral knowledge graph gives AI agents the context they need to actually understand your application, why validating user intent beats checking element identifiers every time, how autonomous agents can review PRs, reproduce bugs from Slack messages, and generate targeted tests without a single line of test code ,and what the tester’s role actually looks like when agents do the heavy lifting.

If you’re wondering whether your QA practice can survive the pace of AI-driven development, this one’s required listening.

🔗 Book a demo now: https://testgld.link/qatechdemo

0:00 / 0:00

Join the Guild for (FREE)!

Email New Tab

Exclusive Sponsor

This episode is brought to you by QA.tech.

Look ,if your team is using AI to write code faster, your testing pipeline needs to keep up. QA.tech’s agentic testing platform uses a behavioral knowledge graph to understand your application the way a seasoned manual tester would and then deploys autonomous AI agents to test it at the speed your dev team actually ships.

No brittle scripts. No Playwright hacks. No waiting for someone to write test cases after the PR is already merged.

QA.tech integrates directly into your GitHub workflow, analyzes incoming PRs, runs targeted tests against your preview environment, and writes the review automatically. It can even reproduce bugs reported in Slack. That’s not a demo feature  that’s their product.

If you want to see what agentic testing actually looks like in a real CI/CD pipeline, head to qa.tech and book a demo now: https://testgld.link/qatechdemo

About Vilhelm von Ehrenheim

Vilhelm von Ehrenheim is Co-founder and Chief AI Officer at QA.tech, an AI-native end-to-end testing and verification platform based in Stockholm. QA.tech crawls web and mobile applications to build a behavioral knowledge graph, then uses autonomous agents to verify changes on every PR without scripted tests.

Before QA.tech, Vilhelm spent five years building the Motherbrain AI platform at EQT, one of the earliest production deployments of machine learning in venture capital. Prior to EQT, he led the Predictive Modeling team at Klarna, building real-time credit and fraud risk models in a decision pipeline processing around 300,000 transactions per day. His applied research has been published at EMNLP, KDD, and CIKM, and he holds an MSc in Engineering Physics from Lund University.

Connect with Vilhelm von Ehrenheim

• • Company: www.qa.tech
  • LinkedIn: www.vilhelm-von-ehrenheim
  • Twitter: www.getqatech

Rate and Review TestGuild

Thanks again for listening to the show. If it has helped you in any way, shape, or form, please share it using the social media buttons you see on the page. Additionally, reviews for the podcast on iTunes are extremely helpful and greatly appreciated! They do matter in the rankings of the show and I read each and every one of them.