The headline of this release: a fully AI-native testing experience that takes teams from a single prompt all the way to a verified, defect-free release.

•     AI-Powered User Story Generation: Turn a PRD or a simple prompt into fully structured user stories, created directly in Jira or Azure DevOps.
•     AI-Powered Test Case Creation: Generate comprehensive test cases automatically from a PRD, existing Jira/ADO user stories, or real recorded user activity, no manual scripting required.
•     AI-Driven Test Data Management: Let AI generate and manage the test data your scripts need, removing one of the biggest bottlenecks in test creation.
•     Functional Testing, elevated: A modernized functional testing experience built for speed, reliability, and everyday ease of use.
•     One Workspace for Functional and Performance: Functional and performance testing are now fully unified, so teams plan, run, and analyze both from a single workspace.
•     Auto-Healing Scripts: Tests automatically adapt when the application UI changes, virtually eliminating flaky tests and manual script maintenance.
•     Auto Assertions: AI intelligently generates validation checkpoints for you, ensuring thorough coverage without writing assertions by hand.
•     Built-In Quality Gates: Enforce release-readiness automatically with gates for Code Coverage, Mutation Testing, Code Vulnerability, and Code Smells.
•     Automatic Defect Filing: Test failures automatically create bug tickets in Jira or Azure DevOps, closing the loop between testing and triage instantly.

A single Configure panel makes building the exact dashboard you need faster and far less fiddly.

•     One Panel, Every Setting: Configure widget charts, metrics, and visualizations in one place, no more jumping between screens.
•     Six Data Sources, One View: Pull Metrics, Logs, Database, Load Test, RUM, and Cloud Cost data into a single unified dashboard.
•     Switch Chart Types Instantly: Change how data is visualized on the fly, without rebuilding the widget from scratch.

A brand-new SLO framework gives teams a clear, single source of truth for service reliability.

• Define SLOs Your Way: Build count-based, uptime-based, or threshold-based SLOs with a live preview before you save.
• See Reliability at a Glance: A centralized overview shows healthy, warning, and breached SLOs and overall compliance instantly.
• Get Ahead of Breaches: Proactive alerts on error budget and burn rate flag risk before it becomes an outage.
• SLOs, Right on Your Dashboard: New SLO widgets bring compliance and error-budget tracking directly into everyday dashboards.

A new centralized reporting system makes creating and sharing polished reports effortless.

• One Workflow, Start to Finish: Configure test runs, dashboards, and sections, then generate reports instantly or on a schedule.
• Professional, Ready-to-Share Output: Cleaner PDF and Word reports with standardized tables and no more stray blank pages.
• Delivered Where Your Team Works: Automated delivery by email or straight into Microsoft Teams, Slack, and other collaboration tools.

New chaos engineering capabilities let teams stress-test applications before customers ever feel an issue.

• Kubernetes-Native Chaos Testing: Simulate real-world failures, from network faults to pod outages, to validate resilience with confidence.
• Simpler, Cleaner Experience: A redesigned interface makes configuring chaos experiments quicker and more intuitive.

New integrations bring Cavisson insights into the platforms your teams work in every day.

• Broader Toolchain Support: Native integration with Jira, Azure DevOps, Git, and BigPanda connects monitoring to your existing workflows.
• AI-Powered Analysis: New LLM integration brings AI-assisted troubleshooting and intelligent recommendations into the platform.