Atlassian

F1 isn't just a race of cars. It’s a race of data. 📊 The fastest way forward? Knowing where you’ve been. See how Atlassian @WilliamsRacing applies and converts context into chasing lap time. 👇

That prompt could have been a Loom. Record for Agents is here in the all-new Loom for Mac. Record your screen, talk it through, and send a structured prompt to Rovo, Claude, or ChatGPT in one click. 🪄 Magic Pen highlights 🤖 Agent-ready context 🚀 Ship to any AI tool We’re live on Product Hunt! See the link in the first reply to show the team some love. 👇

Check it out on Product Hunt:

Like any new hire, AI agents need time to learn everything. @mcannonbrookes breaks down the "intern phase" of AI with @etnshow. 👇

"You don't want a fleet of interns who have to relearn everything all the time." Atlassian ($TEAM) Co-Founder and CEO @mcannonbrookes argues that making agents work is not a tech problem: "You don't want to answer 400 questions from your agents." "When you have a new employee, you say, 'Hey, come to me a bit more often just to check with me so I can tell you're on the right path." "As I get comfortable and I understand that, you know, the context of the company, I will let you do more things by yourselves,' right?" "I think that'll be the same with agents." "It's much, much more valuable to tell you, 'Look, we think there's a 70% chance it's this, there's a 40% chance it's this, and there's a 30% chance it's this.' We clearly label those as hypotheses, not answers." "It's very useful for then the human to add their own context on top and say, 'Oh, it's definitely the middle one...'" "These are all experiential, right? They're not technological..."

Rapid-fire with the Atlassian C-suite. 🏃💨 How would you answer?

"Performative AI" is the new technical debt. Developers are being incentivized to use AI, while engineering leaders worry it’s just to look productive. Measuring the tool instead of the outcome creates a friction loop that speed alone can't fix. Get the full findings in our new State of DevEx Report →

Fact or fiction: Product teams trust AI to decide what to build? 👀 We asked 1,000 product leaders. The takeaway: human decision-making matters more than ever. Join our Chief Product & AI Officer @TYehoshua and @clairevo, Founder of @cxodev, on Oct 28 to unpack what’s ahead →

Backstage with Hannah Waddingham at Team ’26 Europe. 🎤 Teamwork, leadership advice, and the real reason she’d beat Rebecca Welton as a boss. Stay for the encore. 🎶

RT @martinrunge: 80% of product teams are releasing products faster thanks to AI, but customers are not seeing value any sooner.🚦 This comes from Atlassian's new State of Product 2027 report, which surveyed 1,000 product professionals in the US, Germany, and France. It also matches what I heard at Team26 Europe this week: the bottleneck has shifted. Here are three numbers that stood out to me: 🔹 69% say decision making has not become faster, even with AI. 🔹 77% say that executive gut instinct sometimes overrides data-driven product decisions. 🔹 82% report that teammates often pass along low-effort AI work that others need to fix, and about half spend time keeping AI agents on track. On the positive side, 99% of teams have fully integrated AI into at least one workflow, and 53% now have more time to focus on strategy and roadmap planning. Here is what I take away for the teams I work with: 1️⃣ Speed is no longer the main challenge. Deciding what to build is now the real issue. 2️⃣ Decisions need clear, accessible evidence. Only 4% can trace every roadmap decision back to customer feedback. When feedback is scattered across tools, it creates a context problem, not an AI problem. 3️⃣ Messy work is a governance issue. Make AI contributions visible by tagging AI-created content and listing agents as contributors, rather than ignoring their involvement. This third point is where the keynote's multiplayer AI story connects with real-world experience. Where is the bottleneck in your team right now: shipping, deciding, or reviewing? Link to the full report in the first comment. 👇 #ProductManagement #Team26Europe #atlassianchampions

Filing these away until we do it all again. ✨

The “it depends” answer is banned today. 🎨 Charlie Sutton rules on design’s most debated takes. Which did he get wrong? 👇

Atlassian CTO, Taroon Mandhana, shows how DX Agent Effectiveness helps you find out, at company scale. Learn more about what’s new:

Great AI teamwork depends on the right models working with the right context. We’ve been working with @nvidia's engineering teams to explore how open models, including the Nemotron family, could expand what Atlassian Rovo and the Teamwork Graph can do for enterprise teams. Early testing shows Nemotron outperforming several comparison models in multimodal reasoning. 🚀 More about the release. ⬇️

Meet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 🧵

Come for the POV, stay for the hot takes. 🔥 @mcannonbrookes, unfiltered at Team '26 Europe.

33% of IT assets are currently invisible. That’s not just a "blind spot"—it’s a massive compliance risk and a drain on your budget. We’re teaming up with @Flexera to bring rich, normalized asset discovery directly into Atlassian Service Management. Read the full announcement below. ⬇️

A coffee, a walk, and a recap of Team ’26 Europe with our Chief of Staff, @AmyGlancey. ☕️

What’s the longest you’ve waited for a dashboard update? 🫠 That’s why we built the new Insights app. It connects your databases and warehouses directly to your daily tools. That means you ask Rovo a question and get a trusted answer back – instantly. See how the Insights app helps teams work smarter:

☑️ AMP ☑️ Rovo Work ☑️ Atlassian MCP ☑️ Loom AI Overlays ☑️ DX Agent Effectiveness All the hits from our Team '26 Europe Founder Keynote in <2 mins. 👇

Everything we announced at Team '26 Europe in our Founder Blog:

Team '26 Europe = wrapped. Amsterdam, you were unreal. 🚲📸 Customers, partners, community — you were the magic. Thank you. See you at Team '27?

Can you expense dry cleaning if you spill coffee on your shirt on day one of Team? ☕️ At Team '26 Europe, we used Rovo Work to turn a dry expense policy into an interactive game in minutes. It is more than just a quiz. Rovo Work handles multi-step tasks by teaching itself new tools and executing in a secure sandbox until the job is done. See Rovo Work in action. 👇