Improving quality with Agentic AI with Rovo Dev and Xray

In this session we’ll see how Agentic AI and Rovo Dev can be used in a streamlined flow to implement features safely, by testing them properly, and making sure quality is not forgotten. We’ll see how Xray test management unique capabilities can be used to improve the Agentic development lifecycle. We’ll work on top of a sample Spring Boot Java application where work will be managed using Jira; CI/CD will be achieved using GitHub.

Contents: - very quick overview of Xray Test Management tool - embracing Agentic AI during the whole development lifecycle - using the new Rovo Dev CLI tool from Atlassian for daily tasks - integrate with Jira and Xray using MCP servers - leveraging existing APIs to enable integration with - manage Jira work items from the CLI - assess release readinness from the CLI - implement a user story wtih AI - implement automated tests and link them to user stories with AI - fix bugs with AI - report test results to Jira from the CLI