Miss Communication, Ep. 2 | Unstuck Modern Work with Loom
Spiraling again, are we? That’s textbook Miss Communication.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
Designing for the beautiful mess of modern work
The best ideas often come from false starts, conflicting opinions, and rapid iteration. Teamwork is messy, and AI might make it even messier. But the Chief Design Officers of Atlassian and Figma are designing for that reality to turn friction into a creative edge.
Atlassian's guidelines for writing with AI
AI is a helpful tool but, without guardrails, its writing can fall flat. We joke about AI tells like em-dash overuse and “it’s not X, it’s Y,” but issues with over-reliance on AI writing go deeper. On Atlassian’s Brand team, these areas are top of mind. We want to move fast with AI but still put out content that is useful, fun to read, and trustworthy.
HR in the age of abundant intelligence - what we believe
We believe this is a once-in-a-career moment for the HR craft. If we get this right, HR practitioners will spend less time on administrative coordination and more time on the work that drew most of us to this field: landing the right person in the right role, helping a manager lead a team through a crisis, coaching someone who is struggling into confidence and performance, resolving a conflict before trust breaks, designing an org structure that unlocks something a leader thought was impossible.
Cursor is now connected to Jira | Atlassian
Cursor is now connected to Jira. Open a work item, choose Cursor from the Agents dropdown, and it automatically infers the right repository - no manual setup needed. Cursor reads the ticket context, makes the code changes, and raises a pull request in your connected repo, fully linked back to Jira. No terminal, no context switching. Watch to see how your Jira tickets can drive your code automatically.
Kraken: From knowledge to action with Rovo Skills | Team '26 | Atlassian
Rovo Skills, agents, and automation can turn hours of manual work into seconds and Kraken's 30,000 monthly executions prove it's already working. In this Team '26 session, Atlassian and Kraken show how any team can encode their custom workflows into reusable Rovo Skills, compose them into agents, and automate them end-to-end — all powered by the Atlassian Teamwork Graph. From security question resolution dropping from 4 hours to 12 minutes, to faster performance review cycles, see what's possible when AI learns how your team actually works.
Three ways Atlassian's Learning Team uses AI, and one way they won't
The best way to get value out of AI is to scale at the team level, but while 85% of workers use AI, only 29% have embedded it into team workflows. The Atlassian Learning Team is in that 29%, and the lessons they’ve learned are a model for teams of all types. They shared three ways teams can start becoming AI native today. The Atlassian Learning Team helps Atlassian app users build skills and confidence with free on-demand courses, dynamic live team training, and app adoption guides for teams.
Introducing Claude Agent for Jira
Built on Anthropic’s Claude Managed Agents infrastructure, Claude Agent for Jira lets you assign work items directly to Claude. Your agent’s work now sits in Jira alongside everything else: tracked in your project, visible in workflows, and connected to the goals it’s helping ship. The agent automatically processes the work item context, implements the required changes in a secure sandbox, and opens a draft pull request for your review.
Your Jira Board just got a new kind of teammate
Most teams have already adopted AI in some form. The bottleneck now is orchestration: knowing who’s accountable, what agents are actually doing, and how they fit into your existing process. AI coding tools boost productivity by 10-15%, but the orchestration gap limits teams from realizing AI’s full value (Source: DX). Agents living outside of where the work happens means more context switching, manual bridging, and accountability blind spots.
Meet the Knowledge Architect: The Role Every AI-First Organization Will Need Soon
While most enterprises are talking about how they approach AI transformation, increasingly knowledge management and arranging the required context are important factors in whether or not AI can work effectively. This shift is creating demand for a new role called the Knowledge Architect. We have Systems Architects to design the overall structure of software and hardware systems. Knowledge workers execute on work across different functions like Sales, Marketing and Engineering to achieve business goals.