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How Content Technology is powering Atlassian's AI quality

Sep 18, 2026 By Libby Varcoe - In Atlassian
AI can sound confident about almost anything. The challenge is making sure it’s right. At Atlassian, Content Technologists are building the systems, standards, and structures that help AI deliver better outputs, removing the burden from our customers of knowing what information to trust.
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Giving AI agents design system context from the terminal: what we learned building a CLI

Sep 16, 2026 By Sudharsanam Narasimhan In Atlassian
Earlier this year, we wrote about turning Atlassian Design System guidance into structured content that AI agents can actually use. Since then, agents have reached that content through our MCP server tools and an agent skill. We recently added a third distribution method: a command-line tool. The first question from our own engineers was a fair one: Why ship a CLI when you already have an MCP server?
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From plan to presentation in minutes: How Gamma brings your Atlassian work to life

Sep 14, 2026 By Whitney Nicholes In Atlassian
Atlassian and Gamma are now deeply connected, so your work, and the context behind it, moves with you from plan to presentation. AI is supposed to understand your work. But it can only see what it can reach, and right now, your work is scattered. Updates live in slide decks, details hide in Jira tickets, decisions are buried in Confluence. We expect AI to “just know” how it all connects, then wonder why the output feels generic.
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Individual Capacity Planning in Jira: How to Manage Team Bandwidth

Sep 10, 2026 By Atlassian In Atlassian
Individual capacity planning in Jira is a native view that connects team member bandwidth directly to live work items, epics, and initiatives—eliminating the need for disconnected planning spreadsheets. In this video, we cover how to set up individual capacity planning, import existing spreadsheets with Atlassian Rovo, track non-project time like PTO and KTLO, prevent overallocation across spaces, and rebalance resources using AI natural language commands.
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Formula Fields in Jira: How to Run Real-Time Calculations

Sep 10, 2026 By Atlassian In Atlassian
Formula fields are a Jira custom field type that runs real-time calculations directly on work items using values from other fields. In this video, learn how to create formula fields in Jira, calculate dynamic metrics like budget variance and ROI, use Atlassian Rovo to generate formulas with natural language, and set up conditional formatting to highlight at-risk work. IN THIS VIDEO: CHAPTERS: RELATED RESOURCES.
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We're bringing governed agent loops to the AI-Native SDLC

Sep 10, 2026 By Taroon Mandhana In Atlassian
Here’s a stat that’s been rattling around in my head. In our 2026 AI SDLC study, 94% of engineering leaders told us they’re using AI, but only 6% have the systems to actually scale it across their whole software lifecycle. Almost everyone is playing with agents, yet almost no one can let agents run at scale without things breaking.
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How Teamwork Graph Helps AI Agents | Teamwork Graph | Atlassian

Sep 4, 2026 By Atlassian In Atlassian
This is video is part of the Teamwork Graph benchmarking series being launched by TWG PM/PMM. It is in support of the soon to be released Teamwork Graph benchmark report blog. 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.
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The Agentic Pivot: Why the work around code matters more than ever

Sep 3, 2026 By Derek Cheng In Atlassian
AI is accelerating implementation. The engineering teams who benefit most will connect context, orchestration, and accountability across the work around code. AI can now help engineers turn ideas into working code in minutes, but software delivery has always been more than just producing code.
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Atlassian's usage-based pricing: AI value with predictability and control

Sep 1, 2026 By Tamar Yehoshua In Atlassian
AI is changing what entire organizations can accomplish. As it moves beyond individual productivity to orchestrating entire workflows, the value of software outgrows what seat count alone can capture. Atlassian customers are already realizing tangible business value from AI and automations, from reporting processes that run up to 40x faster with agents to saving 400 hours per month with automations.
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