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.

In 2025, requirements remain the top cause of delivery delays and quality issues. Agile workflows didn’t eliminate the need for clarity — they made it more essential. Here's how teams can rethink requirements for speed, traceability, and impact.

Testing isn’t slow — bottlenecks are. This post explores how TestRay is evolving to reduce the friction QA teams face in fast-moving environments. From vague requirements to shifting scope, the new intelligence layer is designed to help teams move faster without cutting corners. All inside Jira, and all without changing how you work.

Managing requirements and test cases isn’t just about tracking — it’s about processing change. In this post, we explore how TestRay’s new intelligence layer will reduce the cognitive load testers carry every day, by helping teams identify gaps, generate structure, and move from complexity to clarity — all inside Jira.