AI test case generation Jira Zephyr is demonstrated in this walkthrough, showing how teams can configure VibeTester to generate AI-powered test cases directly from Jira issues and import them seamlessly into Zephyr Test Management. In this video, we cover how to set up VibeTester with your own LLM, including OpenAI, Claude, and Azure, or […]
AI test case generation Jira is demonstrated in this walkthrough, showing how to generate test cases using your own LLM and import them directly into Xray using VibeTester. In this video, we cover how to configure OpenAI (or other supported LLM providers) within VibeTester, set up the Xray test management integration, and enable the app
AI test case generation for Jira can significantly reduce manual effort while improving test quality and consistency across teams. In this quick start video, we introduce VibeTester, an AI-powered test case generator designed to work directly within Jira and align with existing delivery workflows. In the video you’ll learn how to: Install and configure VibeTester
For many teams working in Jira, the early stages of test design remain a significant constraint. Requirements may move quickly through refinement and development—often accelerated further by AI—but translating them into structured, high-quality test cases is still labour-intensive. Testers often repeat similar patterns of work or compensate for inconsistencies across contributors. The result is predictable:
We have outlined our roadmap to provide visibility of the next set of exciting features for the plugin. The features and enhancements are based on feedback and conversations we have had with our customers. If you would like to see a new feature or enhancement to the plugin then please get in contact at [email protected]
