JoeBot and Ole, CTO of TestCube, show how to use AI effectively in testing. Three-quarters of QA teams see AI as strategic, but only 16% have adopted it. Ole demos TestCube AI's autonomous agents, failure triage, and test generation from plain language.
Next up is this week's webinar of the week. This week's webinar is all about using AI to close the gap between AI-written code and human-tested code, which is happening this Wednesday. Even if you can't make it, make sure to register 'cause we send out the recording and you can also watch the replay. And they told me here's the problem they're gonna dig into. Most testers know what AI testing should deliver, but only 16% of QA teams have actually adopted it, even though 3 out of 4 call it strategic. Dogma is that bolting a general-purpose AI assistant onto your workflow gives you brittle throwaway results you end up rebuilding every quarter. But Ole, CTO of TestCube and the creator of SoapUI that you probably have all used back in the day, walks you through TestCube AI, the native AI layer of the platform, with live demos. So you'll see autonomous agents that pick what to run before execution, then triage failures, and then separates flaky tests from real bugs after it. He also covers generating runnable tests from plain language intent in the framework your team already uses and how to expose test context to any AI tool through the TestCube MCP server. Thank you, JoeBot.
