Testing has to keep up with AI-driven engineering

AI is changing how fast software gets built. Engineering teams can now create, change, and ship code faster than ever, but that creates a new problem: testing has to keep up.

For too long, testing has been treated as a step inside CI/CD. Something that runs late, breaks often, scatters results across tools, and leaves teams digging through logs when something fails.

That model was already under pressure. AI makes the pressure impossible to ignore.

Today, we announced Testkube AI, built to make testing an active, intelligent part of the software development lifecycle. Instead of sitting outside the testing process and trying to interpret partial data after the fact, Testkube AI works inside the platform, with access to test workflows, logs, artifacts, results, and execution context.

That matters because AI is only as useful as the context it can see.

With Testkube AI, teams can start moving toward a world where AI helps investigate failures, classify issues, generate workflows, and create tests in the frameworks they already use. And because Testkube runs tests inside your own infrastructure, teams keep control over their tools, data, and environments.

To us, this launch is about more than new features. It is about giving engineering teams a better path forward.

Test faster. Ship with confidence. Stay in control.
Join us on May 21st to learn more: https://testkube.wistia.com/live/events/gigwl708fn