BOSTON, MA / ACCESS Newswire / September 22, 2026 / Testkube, the testing platform that gives teams one place to create, orchestrate, execute and analyze tests at scale in their existing infrastructure, today launches AI Test Creation - a native capability that lets teams describe a test in plain language and receive a working test in the framework they already use, and run it in their own infrastructure before they accept it.

Developers now write and ship more code than ever, much of it drafted with AI, but they still create tests the way they always have: someone writes the test, wires it into a repository, adds it to a pipeline and finds a real environment to run it against. That work rarely reaches the top of a sprint, so coverage falls further behind the code with every release. Customers put it to Testkube in nearly the same words every time: help us create more tests.

Using AI tools like Claude or CodeX only solves half the problem, Testkube goes the full mile. Instead of being limited to isolated and local test execution, Testkube creates and runs tests inside your infrastructure, using specialized skills, existing tests and results for context. Once the team accepts the outcome, Testkube opens a pull request in their GitHub repository so they can review, edit and version the test like any other code. Teams that need execution data to stay inside their own cluster can run all of it on-premises.

"I've spent twenty years watching teams struggle to keep their testing in line with committed code, and AI is widening that gap even further," said Ole Lensmar, Co-founder and Chief Technology Officer of Testkube. "It's not just about creating tests, it's everything that happens after to make those tests work: the wiring, the environment, the results.. This is what we're building: AI that uses your existing tools and creates tests that are immediately integrated into your pipelines and proven in your real infrastructure. "

AI Test Creation includes:

• Any framework, any test type. Tests are generated in the frameworks a team already uses, across end-to-end, API, load,infrastructure testing and more, with skills built for the most widely used tools and scenarios.
• Immediate execution. Every generated test runs in the team's real environment within seconds, so a wrong assumption surfaces while it's still a draft.
• Tests the team owns. Accepted tests arrive as pull requests in the team's GitHub repository, reviewed and versioned like any other code.
• On-premises deployment with your models. Tests and execution data stay inside the customer's own cluster, using the LLMs you provide.

Test generation tools generate tests and testing platforms run them; Testkube now does both inside the customer's own infrastructure, so coverage grows at the rate code grows without adding QA headcount or migrating to a new framework.

AI Test Creation is generally available today and included in the Testkube trial. And through Q4, the generation engine will get even smarter: it will draw on a team's own guidelines and best practices, environments and execution history, so the tests it produces improve the longer Testkube runs a team's testing.

Testkube will demonstrate AI Test Creation live at StarWest 2026. To see AI Test Creation in more depth, join the launch webinar, "AI Is Writing Your Tests, Yet Nothing Is Getting Tested," with Ole Lensmar and Lucio Daza, on October 8, 2026.

Get started here.

About Testkube

Testkube is the open testing platform for AI-driven engineering teams. Built for cloud-native teams, Testkube decouples test execution from CI/CD pipelines and runs tests as jobs inside your own infrastructure - with full visibility, any type of testing tool, and now AI built in. Learn more at testkube.io

Media Contact
Melanie Brancaleone
VP of Marketing, Testkube
melanie@testkube.io

SOURCE: Testkube