Industry research shows AI productivity gains have plateaued at 10–15% - because today's tools only optimize the 20% of a developer's day spent writing code. The real bottlenecks are left and right of code: planning, orchestration, review, and operations.

Join Atlassian’s Jovana Dunisijevic, for a hands-on deep dive into the AI-native SDLC. In this workshop, we’ll move past single-player copilots and show you how Atlassian is turning Jira into an AI-native orchestration layer for the entire software development lifecycle.

You'll work with Jira AI Planner - an always-on AI technical architect that helps you rapidly vet ideas, generate estimates, and create work breakdowns - and the Jira Coding Agent, which tackles coding tasks directly from your board without ever switching to an IDE. Then we'll go further: you'll learn how to build custom automations that chain these capabilities together, transforming your Jira board into an agentic software factory where humans set intent and agents execute. We'll also explore the value of AI-powered code reviews - from establishing code standards that AI can seamlessly enforce, to triggering agentic pipelines that autonomously fix issues.

You'll walk away with a working understanding of how to move from single-player copilots to multiplayer AI workflows - where the coordination layer becomes the leverage point.

What you'll learn:

• How AI Planner turns rough ideas into well-scoped, agent-ready work breakdowns
• How to trigger the Jira Coding Agent - development directly from your backlog
• How to build automations that orchestrate human-agent collaboration
• Why intent and context (not code generation) are the moat in an AI-native SDLC