Atlassian Expands Jira with AI-Native Development Tools — Atlassian Corporation Plc

Event summary

Atlassian introduced new AI-native software development capabilities in Jira, addressing a 65% increase in AI usage by engineers with only a 10% gain in developer velocity.
The update includes Jira for Slack, Jira Planner, and Loom video prompts to enhance planning and spec-definition through enterprise context.
Jira now supports direct assignment of work items to coding agents like Claude Code, Cursor, and GitHub Copilot, with Codex coming soon.
The new DX AI cost management report unifies spend and token data across third-party tools, mapping total AI investment to engineering outputs.

The big picture

Atlassian's update reflects a broader industry shift towards AI-native software development, where the focus is moving from code generation to orchestrating AI agents across the entire software development lifecycle. The integration of enterprise context through Teamwork Graph aims to address the growing bottleneck of coordination at scale, positioning Atlassian as a key player in the evolving landscape of AI-powered collaboration tools.

What we're watching

Adoption Pace: How quickly engineering teams will integrate these AI-native tools into their existing workflows and the impact on productivity gains.
Competitive Response: Whether competitors like Microsoft or GitHub will accelerate their own AI integration efforts in response to Atlassian's advancements.
Enterprise Scalability: The effectiveness of Teamwork Graph in providing enterprise context and whether it can sustain the claimed improvements in agent accuracy and token efficiency.