The adoption of coding agents is reshaping how software gets built, but productivity gains are starting to level off. As AI makes code generation faster, friction shifts from writing code to other parts of software delivery, including gathering context, planning, orchestration, code review, and governance.

In this session, we’ll show how Atlassian is helping organizations improve AI-powered workflows by grounding agents in organizational context and intent. We’ll follow a workflow that starts with customer discovery, where AI turns customer feedback signals into product and development ideas, and continues through planning and orchestration, delivery, and measurement. Along the way, we’ll show how Jira provides the coordination layer for managing human-agent workflows and how DX helps teams understand where to refine and optimize them.

During this session, you’ll learn how to:

• Reduce prompt engineering, improve accuracy, and lower costs by giving agents the right context

• Scale multi-agent workflows with quality gates and your organization’s standards built in
• Connect customer discovery, planning, code generation, review, delivery, and measurement in one AI-assisted workflow
• Measure AI impact on delivery speed, quality, and ROI with DX