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
Refinement is the part of BDD that most teams underestimate. Scenarios are written with good intent, validated, and then quietly left alone while the product continues to change. Over time, behaviour drifts, wording becomes inconsistent, and scenarios no longer reflect how the system actually works. This doesn’t usually happen because teams stop caring. It happens
Validation is where Behaviour-Driven Development either earns trust or quietly loses it. Teams can spend time agreeing behaviour and writing clear scenarios, but without visible validation those scenarios don’t carry much weight. If people can’t see what has actually run — and what the outcome was — BDD starts to feel theoretical rather than reliable.
