Systems | Development | Analytics | API | Testing

Every release brings new capabilities to help QA teams work more efficiently, improve collaboration, and adapt to the evolving demands of software testing. The Xray Summer '26 Product Release Webinar introduced the latest innovations across the platform, from AI-powered capabilities to usability improvements and a preview of what's coming next. Whether you joined the live session or are catching up now, this article highlights the key announcements from the webinar.

You're preparing for a release readiness meeting. The Test Plan contains hundreds of Tests. Development continued until late yesterday, several Defects were resolved overnight, and only a few hours remain before stakeholders need an update. There is enough time to execute part of the Test suite, but not all of it. The question isn't whether testing should continue. It's which Tests should be executed first. Every release forces QA teams to make prioritization decisions.

Creating test reports is an essential part of software testing, but manually compiling information from Jira can quickly become repetitive and time consuming. Whether you're preparing evidence for an audit, sharing release progress with customers, or documenting test coverage, reporting should help your team, not slow it down.

Xray is transitioning into a Forge App, Atlassian's modern cloud development platform, using Forge Remote to strengthen security, align with Atlassian's long-term roadmap, and support future innovation. If you're wondering what the Xray Forge migration means, the short answer is simple: your testing workflows stay exactly the same. The changes happen behind the scenes, improving the platform that powers Xray while maintaining the features, scalability, and performance your team relies on.

AI is becoming part of every stage of the testing lifecycle. Teams are using it to analyze requirements, design test cases, generate automation scripts, and accelerate execution activities that previously required significant manual effort. Within Xray, AI already helps transform Jira requirements into actionable test cases with AI Test Case Generation.

AI is becoming part of every stage of the testing lifecycle. Teams are using it to analyze requirements, design test cases, generate automation scripts, and accelerate execution activities that previously required significant manual effort. Within Xray, AI already helps transform Jira requirements into actionable test cases with AI Test Case Generation.

Test execution is one of the most time-sensitive stages of software delivery. Teams are expected to validate functionality, ensure stability, and support release decisions within increasingly shorter development cycles. Even with strong automation in place, there is rarely enough time to execute every Test before a release. This makes prioritization a critical part of the QA process.

For organizations developing regulated products, risk management and testing are closely connected. Every identified risk must be assessed, mitigated, verified, and documented to support compliance requirements and release decisions. Yet these activities often happen in separate systems. Risk assessments may live in dedicated risk management tools or spreadsheets, and testing is usually managed elsewhere.

With the release of Xray Cloud 15.0.0, Xray expands its latest AI capabilities with the introduction of AI Test Prioritization, joining two recently released features: Xray's Rovo Test Plan Summarizer and AI-generated Manual Scripts for Test Case Designer, introduced in Xray Cloud 14.0.0. Testing is rarely just about executing test cases. Teams need to understand where risk exists, how testing is progressing, and whether a release is ready to move forward.