Say goodbye to writing test cases from scratch. With TestRay’s AI-powered test case generation, QA teams can instantly create editable test cases from requirements, notes, or specs — directly inside Jira. See how this new feature cuts time, improves accuracy, and keeps your test planning on track.

Break down complex, high-level requirements into structured, actionable tasks using TestRay’s AI-powered Requirement Breakdown feature. See how AI enhances clarity, speeds up planning, and helps QA and dev teams focus on what matters most.

TestRay’s new Requirement Generation feature uses AI to create structured, actionable Jira requirements from simple inputs like Confluence pages, specs, and text instructions. No more starting from scratch — just clear, traceable requirements from the start.

AI shouldn’t replace testers; it should help them work faster, with more clarity. In this post, we explore how Storm AI, the new intelligence layer inside TestRay, supports real QA workflows inside Jira without adding friction.

Manual test design has long been part of QA — but it's also one of its biggest time drains. As systems grow more complex, TestRay’s new AI features, powered by Storm AI, offer a better way forward. With test case generation, requirements breakdown, and context-aware guidance inside Jira Data Center, QA teams can focus less on stitching and more on strategy.

Storm AI has officially launched for TestRay in Jira Data Center. With features like AI-assisted test case generation, requirements breakdown, and intelligent authoring, QA teams can now reduce manual effort and move faster with confidence. Explore what’s included in version 1.0.0 and see how TestRay just got a whole lot smarter.