Sydney, Australia
2002
  |  By Chance Dubuque
Customer work rarely lives in one place. Salesforce holds the account, opportunity, contact, and case details. Jira shows the product work behind a customer commitment. Confluence holds the account plan, enablement materials, and meeting notes. Jira Service Management tracks support requests and escalations. Slack, Microsoft Teams, Google Drive, and other tools hold the conversations and assets that explain what’s really happening.
  |  By Kasen Stephensen
Without the right context, every day is day one for a coding agent. Agents may have the intelligence needed to write, refactor, and review code, but they still face the same challenge developers do: understanding how complex systems actually work. They need the right context to navigate cross-team dependencies, ownership boundaries, and downstream impacts that are hard to understand from any single workspace. Code only tells part of that story.
  |  By Esra Guler
The past couple of years have changed how my team operates. We’ve experimented, adjusted quickly, and seen meaningful early results. That momentum got me excited about where marketing is headed in the age of AI, even as we continue learning along the way. Since then, we’ve witnessed what holds companies back from succeeding with AI.
  |  By Avinoam Zelenko
@mention an agent on any page and it creates, edits, and comments alongside your team. Through the Atlassian Rovo MCP, the same agents work from Claude, Cursor, or your IDE. Agents have been working in Confluence since we launched custom agents in May 2024, and teams now run more than 5 million agent invocations a month. In February alone, Agents saved Atlassian customers more than 200,000 hours.
  |  By Anand Shastri
A reflection on building an enterprise product using AI agents, and what the data says about how we worked. The observation For the past few months we have been rapidly building an enterprise-wide, production-grade application that helps with employee compensation planning, management and communication. I compared what we built against a traditionally-built product to draw out insights about our new ways of working.
  |  By Alok Jain
TLDR: Key updates: Rovo Search now provides AI-generated answers with citations, routes intent-aware queries in Jira, searches across 50+ connected tools, delivers richer visual results, and is embedded directly in Atlassian workflows. This blog summarizes improvements that have shipped over the past year to Rovo Search. Rovo Search keeps getting better over time! It is now approximately 60% faster than six months ago!
  |  By Asha Thurthi
Your transformation strategy is only as strong as its alignment with team execution and financial investment. Now you can see portfolio health in real time, intervene before initiatives drift, and tie every request and dollar to the priorities that matter. The latest Strategy Collection innovations bring financial investment, delivery risk, and cross-team demand into one view. The best part? Every capability covered has shipped since our previous Innovation Spotlight.
  |  By Aaron Booth
Our Design Ops team supports more than 600 designers across Atlassian. And like most operations teams, we were seeing the same pattern over and over again: important questions landing in Slack, manual triage happening in the background, and too much useful knowledge trapped in docs that people either couldn’t find or didn’t have time to read. We built DOT, the Design Org Teammate, to change that.
  |  By Chait Donthini
Bring document knowledge you already have access to from Google Drive, SharePoint, and OneDrive into Rovo Search, Chat, and Agents so teams can move from questions to useful context faster. The project plan is in Google Drive. The financial model is in SharePoint. The work is tracked in Jira, and the decisions are documented in Confluence. Your team has the information it needs.
  |  By Natalie Chung
Connect any coding agent to your system of record to automate engineering loops AI coding agents have made individual developers faster. But faster individuals working in their local environments do not automatically create faster engineering organizations. The bottlenecks that slow software delivery are usually systemic: work stalls in human queues, triage waits for idle cycles, and routine handoffs depend on manual intervention.
  |  By Atlassian
Starting a new project with AI agents? The Agentic Engineering template in Jira gets your whole team set up in one go with coding agents (Jira Coding Agent, Claude, Copilot, Cursor), Teamwork Graph CLI, automations, intelligent triage, and more. Follow four guided setup tasks and you'll have agents wired into your workflow before your first standup. Watch to see how to go from a blank project to a fully agentic engineering setup in minutes.
  |  By Atlassian
Already using GitHub Copilot? Now you can drive it directly from Jira. The Copilot integration reads your issue summary, description, and acceptance criteria, and passes that context straight to Copilot to work on your connected GitHub repo. The result: a pull request raised in GitHub, linked back to your Jira issue, ready for review. Watch to see how to connect your planning and your code in one easy flow.
  |  By Atlassian
What if every incoming issue could trigger Cursor Agent automatically? With agent automations in Jira, you set a condition, like a specific summary prefix for security issues or improvement requests, and when a matching ticket lands, your chosen coding agent (Jira Coding Agent, Claude, or Cursor) picks it up and gets to work. No manual triage, no delay. Set it once, and your agents do the rest. Watch to see how to wire up agent automations in Jira step by step.
  |  By Atlassian
“Let’s talk” just cost someone their entire afternoon. Confetti says the answer was a Loom all along.
  |  By Atlassian
What is AI really doing for the enterprise — and what's just hype? At the SAFe Summit 2026 in Amsterdam, Renaud Granier (Accenture), Zach Brown (Atlassian), and Saahil Panikar (Atlas Revolutions) sit down for an unfiltered conversation about the state of AI in business today. From the difference between prediction and reasoning, to the growing problem of AI sprawl, to why change management might matter more than the technology itself — this is a must-watch for anyone trying to make sense of AI in their organization.
  |  By Atlassian
Jira is the new system for AI-native software development. Turn ideas into agent-ready technical specs with Jira Planner. Assign work to any agent, including Claude, Cursor, GitHub Copilot, Jira Coding Agent, and more. Track, review, and iterate on agent output in one place. Scale agentic work with by automatically assigning tasks to coding agents.
  |  By Atlassian
Tired of being your team's "status bot"? In this video, a Product Manager shares how she stopped chasing updates over DMs and started using Jira to keep her team aligned, so she can focus on what actually matters. Here's what you'll learn: How to centralize launch tasks in Jira as work items How to organize your backlog and pull priorities into sprints How to use work item comments so your team self-reports progress.
  |  By Atlassian
Tired of digging through Figma comments, Slack threads, and random meeting notes just to find feedback? In this video, a Designer shares how he stopped sorting through scattered feedback and started using Jira to centralize it all, so he can get back to actually designing. Here's what you'll learn: How to create a work item with all your design details in one place How to share context and @mention reviewers with clear questions How to watch work items so feedback comes straight to you.
  |  By Atlassian
All your AI sessions in one place. The For You page in Jira gives you a real-time view of everything your agents are doing, what's running, what's finished, and what needs your attention. Review completed coding sessions, approve pull requests, and kick off new agent sessions directly from the page. Stay on top of your AI-powered workflow without hunting across tools. Watch to see how it works.
  |  By Atlassian
Managing financial systems at scale is complex. Multiple SaaS applications, ERP integrations, transaction flows, and month-end close activities must work seamlessly to ensure data integrity and reporting accuracy. In this video, Alex Auerbach, on the Finance AI and Enablement team at Atlassian, shares how they built Finance360, a Rovo agent that delivers real-time monitoring, proactive alerts, and intelligent troubleshooting across critical financial systems.

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Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 100,000 global customers (including 85 of the Fortune 100), we’re advancing the power of collaboration with products including Jira, Jira Service Desk, Jira Ops, Confluence, Hipchat, Bitbucket, Trello, OpsGenie, and more. Driven by honest values, an amazing culture, and consistent revenue growth, we’re out to unleash the potential of every team.