Atlassian

Face it: your team is stuck. Stuck HARD. ⛔ Stuck in status updates ⛔ Stuck waiting on approvals ⛔ Stuck writing novel-length emails When you’re stuck, there’s no time for the deep work that moves projects forward. Get unstuck with Loom.

DYK that Gen Zers are 2.5x more likely than Boomers to be motivated by emoji reactions from their colleagues and bosses? 🕺

Rovo is the Swiss Army knife of modern work. 🔎 Need fast answers? Search. 💬 Want to workshop an idea? Chat. ✋ Looking to automate a workflow? Agents. 🎙️ Building something custom? Studio. Just pick your AI tool and dive in. #AIAppreciationDay

What’s your coolest Jira trick? #JiraAdminDay

Magic? Nope, just Rovo. 🪄 If you’ve ever felt lost in a sea of vague or overly long ticket titles, you’re not alone. Our team at Atlassian felt the pain too – until we decided to do something about it. 👏 Details and description in our Community post (see below)!

Last week, I had the absolute privilege of speaking at WeAreDevelopers, and WOW, what an experience! I shared our key findings from The 2025 State of DevEx, and two things really stood out: 1- Every developer is using AI, it’s making us faster… but we’re still losing more time than ever to inefficient processes and broken workflows. 2- Want to improve DevEx? The path hasn’t changed: speak to developers, understand their friction points, and work on resolving these. After the session, lots of people came up to chat more about AI’s role in developer productivity and to echo the report's findings. The atmosphere at We Are Developers was next-level! Thousands of developers, all in one place sharing ideas. I've been to many developer conferences but there was something unique about this one. Big shoutout to WeAreDevelopers for putting on such an amazing event and to everyone who stopped by the session. Have you had a chance to read the Atlassian 2025 State of Developer Experience report yet? I'm keen to hear your thoughts. Let me know what you think 👇 #DevEx #DeveloperExperience #AI

If every revolution in history is any indication, change is pretty hard. It requires:   🤝 A unified team   👀 A clear, shared project vision  🏗️ A collaboratively built framework  📄 A plan that can flex Ensuring that this framework is in place may not perfect the change management process, but it sure will help smooth out the bumps. For the full drill-down, download our new eBook: https://go.atlss.in/qjsgbj

Sometimes, distributed teams, no matter how great, just get stuck. That's why at Atlassian, we use Loom to move work forward across time zones. The results? Projects as big as Team '25 are managed, executed, and completed with more context and fewer bumps in the road.

Loom 🤝 Sales The Atlassian Sales team uses async video to share updates, rally around goals, and even personalize outreach.   The result? Faster alignment and higher win rates. When a quick video can boost impact by 20%, it's a no-brainer. 🧠✨ Learn more: https://go.atlss.in/v4nk02

I’ve been deep in building AI agents lately—experimenting, running workshops, and learning from real-world use. 🤖 Building agents is still new to most of us, but you can get good results quickly by tweaking prompts and instructions. However, making them great takes a bit more effort. A few things I’ve learned: 🧩 Break down the problem. Don’t overload your agent—focus on one small task at a time, just like you would with an intern. I start by writing down the problem and building an agent for each piece, then combine them in a workflow if needed. 🧪 Test beyond the happy path. I’ve been guilty of releasing agents after only testing the happy path. I now create diverse test cases and sample data upfront, so I’m not caught off guard when the agent meets real-world scenarios. 📋 Structure matters. Clear, bullet-pointed instructions work best. I use a simple framework: Role, Goal, Character, Tasks, Outputs, Examples. Even minor tweaks in how I organize instructions can make a big difference. 💡 Let agents improve themselves. If an agent isn’t working, I ask it how to improve the instructions. Sometimes, the best solutions come from the agent itself. 📚 Give context. The more info and examples you provide, the better the results. I always include many examples and documentation, like when you're onboarding a new human teammate. Agents won’t solve everything for you, but with the right approach, they can help you tackle big and small challenges—one agent at a time. 🚀 👉🏽 I've gone into detail with each of the tips here: https://lnkd.in/eyZfNQuv Would love to hear your tips! #AI #Rovo #Automation #Agents #AgenticAI