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

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

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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

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Видео AI Agents in QA: How to Keep Up with AI-Driven Dev Velocity канала Automation Testing with Joe Colantonio