Every team has a wishlist for how Jira and Confluence could work better for them. A workflow that fits the way your team actually operates so AI can build exactly what you want in fewer cycles. Until now, building those customizations meant waiting on a developer, and hoping the result matched what you described.

In this hands-on session, bring your laptop and follow along step-by-step as you use Rovo Studio to describe what you need in plain language and generate a working Jira or Confluence extension, secured by Forge and running entirely within your Atlassian environment. You will learn how to move from idea to iteration efficiently, including how to use image uploads and annotations to give Rovo precise context, when to redirect early rather than undo later, and how to recognize when an extension is ready for your team. No coding or development experience is required at any point.

This session is designed for Jira and Confluence users of any technical background who want to solve real team problems without waiting on a development resource. You will leave with a clear, repeatable path for getting started in Studio, a finished extension you built yourself, and the confidence to tackle your team's next request on your own.

Key Takeaways

• Learn the step-by-step Studio workflow for describing what your team needs, generating a custom Jira or Confluence app, and iterating until the result feels exactly right.
• Discover how to combine image uploads, annotations, and well-scoped descriptions to give Rovo the context it needs so each iteration moves you forward rather than sideways.
• Walk away with a completed, Forge-secured extension built during the session and a practical framework for applying the same process to your team's next feature request.