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DX AI<\/p>\nI\u2019m stoked to be back in Anaheim, California for Team \u201926 with thousands of our customers. Together, we\u2019re facing the most significant reimagining of work in our lifetime\u2014one that has only accelerated since we were last here.<\/p>\n
This is crazy exciting. We\u2019re seeing a new kind of organization emerge: the AI\u2011native organization, where teams are co\u2011creating alongside agents. In just the last six months, we\u2019ve seen a 7x increase in agentic automations across our customers. Organizations from Mercedes\u2011Benz to Docusign to Teach For All are employing Rovo agents in their daily workflows, accelerating work and accelerating teams.<\/p>\n
They\u2019re succeeding because they\u2019ve figured out the formula. In 2026, it\u2019s not just the latest frontier model; anyone can get \u2018smarts\u2019 by the token. What\u2019s giving organizations a real edge is their own institutional knowledge, the critical fuel for AI.<\/p>\n
And when it comes to context, Atlassian customers are sitting on a goldmine.<\/p>\n
Acceleration = Context x Intelligence<\/p>\n
Atlassian\u2019s customers have one of the richest, most connected context graphs in the entire world. Our Teamwork Graph is not just a database; it\u2019s the connective tissue between your people, their work, and their tools. It\u2019s the institutional memory of every project you\u2019ve worked on to date\u2014not only in Atlassian\u2019s apps, across all the connected tools your organization uses. That might include your workflows in Jira, designs in Figma, code in GitHub, people in Workday, and your thinking shared in Confluence or Loom. Whatever apps your organization relies on to get work done, it\u2019s there in your graph\u2014along with every trade-off and bit of hard-won nuance only your team understands.<\/p>\n
With over 150 billion connections, the Teamwork Graph gives humans and agents the context to search, reason, and act securely across tools and teams. And with the continuous creation of your company\u2019s collective intelligence, your system of work gets smarter each day.<\/p>\n
At Team \u201926, context is the key to helping our customers\u2019 teams move faster and smarter. We have a wave of announcements focused on harnessing this context and bringing it to every surface where teams are working.<\/p>\n
As we move towards an AI-native future, we\u2019re evolving how we build at Atlassian, so you won\u2019t have to wait six months for more. Instead of saving up big launches a couple of times a year, we\u2019re building and shipping in public, every day, alongside our customers. We can\u2019t wait to share what we learn as we go.<\/p>\n
Buckle up for what\u2019s new, and LFG!<\/p>\n
Mike<\/p>\n
Rovo makes AI-native teamwork real<\/p>\n
Rovo brings context-rich AI to everyone in your organization. Teams of all stripes see its power: Rovo is used by 75% of the Fortune 500 and more than 90% of our enterprise customers. It\u2019s already in heavy rotation with more than 14 million Rovo\u2011assisted actions just last month.<\/p>\n
This week, we\u2019re dialing up what Rovo can do:<\/p>\n
Rovo Studio is your unified builder hub for putting AI to work. We\u2019ve got a new Studio experience now generally available so that anyone (not just power users or engineers) can turn their ideas into agents, automations, and apps.<\/p>\n
Max (coming soon) is a new reasoning mode in Rovo Chat that you can point at messy, real-world work. It breaks down big, complex asks into multi-step plans, runs them end-to-end, and shares outputs the whole team can build on.<\/p>\n
For all teams: AI everywhere you work<\/p>\n
AI should already be in your workflow, know your context, and surface what you need before you ask:<\/p>\n
With the general availability of Agents in Jira, we\u2019re bringing AI agents right where teams plan and track work. Teams can assign work to Rovo and third-party agents, iterate with agents in comments, and embed them directly into their workflows.<\/p>\n
Texts, tables, and lists in Confluence can now be reshaped by Remix with Rovo (now available in beta) into infographics, charts, databases, and now Confluence slides (coming soon) without leaving the page. And because it all sits on the Teamwork Graph, the final product has the right context pulled in.<\/p>\n
Agents in Jira<\/p>\n
For software teams: AI across the SDLC<\/p>\n
We\u2019ve spent the last twenty+ years building for software teams, and AI is now rewriting the SDLC faster than anything we\u2019ve seen in that time. Our job is to turn the context you already have into an advantage:<\/p>\n
Teams can assign and track work for Rovo and third\u2011party coding agents with Agents in Jira. Every agent interaction is auditable, traceable, and governed in Jira, turning \u201csingle\u2011player\u201d prompts into a multiplayer workflow your whole team can see.<\/p>\n
Now in early access, Code Intelligence in Rovo lets engineers and agents ask intent\u2011level questions across complex, multi\u2011repo environments, not just grep for strings. By combining your source graph with context from Jira, Confluence, and more, Rovo can answer questions like, \u201cwhich services still use an outdated UI pattern and who owns the migration plan?\u201d in one place.<\/p>\n
With all this AI investment, engineering leaders need to understand the ROI. DX, which joined Atlassian last year, now offers an AI experience that tracks AI transformation. With Agent Experience, AI Code Insights, and AI Pulse, teams can see where AI is generating code, how agents are performing, and how they\u2019re impacting productivity and reliability, turning AI from a black box into a measurable, governed part of the SDLC.<\/p>\n
DX AI<\/p>\n
Context for humans and agents: Opening up the Teamwork Graph<\/p>\n
We\u2019ve made a deliberate, architectural decision to open the Teamwork Graph up so every AI tool your teams use\u2014whether it\u2019s ours, a partner\u2019s, or anything else in your stack \u2013 can run on the context you\u2019ve already built. Today, customers can start in two powerful ways, both in open beta:<\/p>\n
Teamwork Graph CLI is Atlassian\u2019s agent-first command-line interface that gives your most technical users and their AI coding agents direct access to your organization\u2019s Teamwork Graph, while admins retain tight control over scopes and permissions.<\/p>\n
Teamwork Graph tools in Rovo MCP Server give any MCP\u2011compliant agent, copilot, or automation a standard, secure way to run on your Teamwork Graph, so they act with live ownership, history, and relationships.<\/p>\n
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Teamwork Graph CLI | Teamwork Graph tools in Rovo MCP Server<\/p>\n
Most of your day already happens in tabs. Dia, which joined the Atlassian family just last year, lets you act on the context across them\u2014plus the magic of your Teamwork Graph. Now, it can proactively create a Morning Brief for you by pulling from all\u00a0your overnight Slack conversations, your calendar, and action items assigned to you (while you sleep!).<\/p>\n
Dia Morning Brief<\/p>\n
We\u2019re also excited to share that Dia is ready for teams of all shapes and sizes, with layered defenses against prompt injection, single sign-on, Chromium MDM support, and SOC 2 Type II attestation. Dia is already used by Atlassians worldwide, and has just started a closed beta for additional advanced enterprise features including a Guard integration that will be available soon.<\/p>\n
There\u2019s a ton more to discover too \u2013 from the new Feedback app for product teams which joins Jira Product Discovery in our newest Collection, the Product Collection, and updates across Service and Strategy Collections.<\/p>\n