Teams | Collaboration | Customer Service | Project Management

Atlassian Design System: Building the context engine for the AI era

Maria Christley is the Head of Design for the Atlassian Design System, leading over 35 designers globally across Design Language, Accessibility, Systems Architecture, and AI. She is a 2025 Women Leading Tech finalist and has spoken at Figma Config and UX Australia. Rachel Radford is a Design Manager on the Atlassian Design System team, where she leads designers working on the systems, components, and practices that power Atlassian’s products at scale.

Human + AI collaboration at scale: Highlights from the Team '26 founder keynote

As organizations work to bring humans, agents, and automation together, teamwork is getting even more complex. If your AI strategy feels like a collection of one-off experiments layered onto disconnected tools and siloed knowledge, join Atlassian leaders to see how Teamwork Collection brings together Jira, Confluence, Loom, and Rovo into a connected foundation for human-AI collaboration at scale. Key takeaways: Watch the full Founder Keynote here.

Is AI flattening your team's creativity? Here's how to tell.

Think about your to-do list for a given work week. From responding to a colleague’s quick message to building a team strategy, how do you prioritize how much time and energy to allocate to each task? Behavioral science tells us most of us don’t optimize; we satisfice — we find the first “good enough” option, and we move on. The term, a mash‑up of “satisfy” and “suffice,” was coined by Herbert A.

Introducing Cursor in Jira

Starting today, Jira teams can assign work directly to Cursor, where a cloud agent will pick it up and begin working. You can steer agents directly from Jira, your IDE, or Cursor on the web. When Cursor needs input or is ready for review, it will notify you in Jira. When it opens a pull request, it will be automatically linked back to Jira.

The AI efficiency paradox: What to do when AI boosts productivity but not results

There’s a paradox happening with AI: Usage and productivity are up, but bottom-line results aren’t always as obvious. It’s a familiar pattern you might be seeing in your organization: Leadership invests in AI, and employees say they’re getting more done: more code, more campaigns, more analysis.

Highlights: Founder keynote: Human-AI collaboration at scale | Team '26 | Atlassian

"It’s time to reimagine teamwork for the AI era. Join Atlassian leaders to hear how human-AI teams collaborating in one system of work will propel your entire organization forward. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.

Inside Reddit's IT playbook: Building for scale and AI-readiness

The learnings are based on our recent webinar, “Inside Reddit’s IT playbook for AI and scale”. Check out this session and other conversations with customers on-demand. When Reddit grew from fewer than 400 people before 2020 to roughly 4,000 globally distributed employees today, it wasn’t just their headcount that changed. The mandate for IT changed with it.

3 ways AI alert grouping is transforming on-call engineering at Atlassian

At Atlassian, on-call engineers live at the intersection of urgency and uncertainty. Floods of noisy alerts sap focus, energy, and productivity — especially when responders must decide what matters, what can wait, and what’s just noise. A single underlying issue can trigger dozens of near‑identical alerts in hours.

How customers are using Confluence Agents to turn knowledge into action

Since we first launched custom agents in May of 2024, we’ve seen teams use Rovo to build agents in Confluence that help them accomplish everything from turning customer feedback into PRDs to maintaining consistency across large sets of data and processes. And agents are getting even more popular, with over 5M invocations of agents every month. They take the foundation of knowledge that lives in Confluence, and act on it, saving customers over 200K hours in February alone.