Testkube has unveiled Testkube AI with real-time testing visibility for AI agents, while also launching a free Test Execution Viewer for open source users and expanding enterprise access through AWS Marketplace availability.
Testkube has launched Testkube AI, an AI-native testing system integrated directly into its open-source testing platform, alongside a free Test Execution Viewer for open-source users and new availability on AWS Marketplace.
The company said Testkube AI gives AI agents native access to test workflows, logs, artifacts, execution context, and real-time execution visibility. Unlike most AI testing tools that analyse test results externally after execution, Testkube said its AI operates directly within the testing execution layer with the same visibility available to engineers and test runners.
The platform enables AI agents to analyse test executions, classify failures, open pull requests, optimise testing costs, generate workflows, automate troubleshooting, reduce flaky-test investigations, and correlate incidents.
Testkube also introduced AI Authoring, allowing engineers to describe tests in natural language, select frameworks, add contextual information, and generate executable tests for existing infrastructure.
Additionally, the company launched an MCP Server exposing workflows, logs, artifacts, and results to AI tools supporting the Model Context Protocol, enabling integration without custom connectors.
For its open-source community, Testkube released a free Test Execution Viewer featuring an on-demand UI with aggregated logs, results, and artifacts, requiring no login or account creation.
“AI is dramatically accelerating how quickly organizations can ship code, but it’s also raising the stakes on quality,” said Andy Pemberton.
Testkube is also now available through AWS Marketplace for enterprise procurement and deployment within Kubernetes environments.
