Coding agents are transforming how software gets built, but for most organizations early productivity gains are starting to level off. As AI makes code generation faster, friction is shifting 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 their AI-powered workflows across the full software lifecycle, beyond code generation. We’ll follow an AI-assisted workflow, powered by Atlassian and Jira, that starts with customer discovery and continues through planning, orchestration, delivery, and measurement. Along the way, we’ll see how Atlassian grounds agents in organizational context and intent, how Jira provides the coordination layer for managing human-agent workflows, and how DX helps measure AI impact.

During this session, you’ll learn how to:

• Improve agent accuracy and reduce costs by grounding agents in organizational context.
• Scale multi-agent workflows with quality gates and your organization’s standards built in.
• Orchestrate AI-assisted workflows across customer discovery, planning, code generation, review, delivery, and measurement.
• Measure AI impact on developer velocity, code quality, and delivery health using DX.