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By Dr. Molly Sands
AI makes it possible to produce work quickly, but it can also result in a lot of workslop—that is, work that looks polished, but does little to move the project forward. Sorting through workslop is time-consuming and undercuts the ROI on AI. It may look like productivity, but it just moves the actual work farther downstream. The Teamwork Lab realized that workslop isn’t an AI problem, or even a people problem.
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By Kaitlin Owczarski
The Atlassian Marketplace has surpassed $7B in lifetime sales, and while that alone is a milestone worth celebrating, the pace behind it may be even more exciting. The most recent $1 billion was transacted in just nine months, the fastest billion in Marketplace history. Nearly half of all lifetime Marketplace sales happened in the last three years. Those numbers reflect something bigger than just a storefront.
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By Chris Marsh
AI is making teams faster, but not organizations. The gap is a missing layer: governed work context that turns a change in strategy into a change in what happens next. AI is making teams faster but that doesn’t necessarily mean it is making organizations faster. That distinction matters. In a recent 451 Research survey, 88% of organizations using AI in workplace tools report productivity gains.
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By Abhay Jain
Maya runs IT for Beaconstone Financial, a fintech company with 2,000 employees. Her engineering teams work in Jira and GitHub. Sales lives in Salesforce. Most decisions happen in Slack threads, Google Docs, and SharePoint folders that nobody can find six months later. Leadership wants Rovo to answer questions across all of it. Her head of sales has asked for account briefs that pull in the latest Salesforce opportunity data and last week’s customer call.
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By Andrew Boyagi
Atlassian’s 2026 State of Developer Experience report reveals a disconnect between AI adoption, developer productivity and organisational performance. An engineering leader recently asked me how AI could help their team work more effectively, to keep up with a rapidly growing workload. It turned out the problem was upstream teams creating significantly more output with the help of AI.
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By Hersh Iyer
In 2025, companies spent a collective $581 billion on AI. The results were underwhelming: according to a study by MIT, 95% of Enterprise AI pilots showed zero impact on organization’s bottom lines. In short, the vast majority of AI pilots are unsuccessful. The reflex is to blame the models. The evidence points somewhere easier to control: context. Every answer AI produces is assembled from a context packet—the material used to respond to the presented prompt.
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By Rhishiraj Neog
This is a practical guide for anyone using AI to move an idea towards something real. It gives you five ways to keep the people, context, decisions, and quality connected as the work moves.
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By Dr. Molly Sands
The Browser Company of New York, the startup behind the Dia browser and its earlier iteration, Arc, moves at a pace that seems impossible from the outside. It’s easy to assume its team of 65 is fast because it’s small and AI-native, but that’s only a part of it. The bigger factor is their unique way of collaborating that they deliberately designed to keep work from getting stuck.
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By Jamil Valliani
Over the last two decades, millions of teams have run their work on Atlassian, writing code, shipping products, and supporting customers across billions of workflows. Our platform is also where they make the hard calls, prioritizing which features to build, deciding which customer problems to chase, and choosing where to invest their resources.
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By Alan Braun
When we delivered Atlassian MCP a little under a year ago, the idea was simple: let the AI tools your teams already use – Claude, ChatGPT, Cursor – reach the work that lives in Atlassian. The response was immediate. Now, we’re seeing more than 15M calls a day as it’s become the first thing teams reach for when they want to connect AI to their work. But teams have made it clear they want more. More products, more context, and more of the whole job done.
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By Atlassian
Rovo connects GitHub to Jira and Confluence through the Teamwork Graph, so you can ask it which pull requests to review first, what's blocking a release, what shipped this week, and which pull requests are ready to merge. In this video, you'll see five ways engineering teams use Rovo with GitHub to cut context-switching and find answers that would normally mean checking every repository, Jira board, and release doc.
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By 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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By 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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By 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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By Atlassian
Yes, Jira works inside Microsoft Teams. The Jira Cloud for Microsoft Teams app brings project management into your conversations, and it just got smarter. Over a million users already rely on the Jira for Microsoft Teams integration for notifications, work item previews, and quick actions. Now Jira understands natural language, so you can create, update, and assign work without ever leaving your Teams chat.
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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.
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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.
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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.
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By Atlassian
“Let’s talk” just cost someone their entire afternoon. Confetti says the answer was a Loom all along.
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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.
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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.