Advancing modern teamwork
AI thinking and product news to unleash the potential of teams
Turn knowledge in Google Drive and Microsoft SharePoint into connected context
Bring document knowledge you already have access to from Google Drive, SharePoint, and OneDrive into Rovo Search, Chat, and Agents so teams can move from questions to useful context faster.
“You should be a little uncomfortable”: How Cursor is navigating the new shape of product craft
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Connect Trello to Your Favorite AI Assistants with Trello MCP
Great ideas can start with a random spark at 2 a.m., grow through a planning session with ChatGPT, or take shape in a brainstorm with Claude. AI helps you plan, but getting that plan into Trello has always been a manual, momentum-killing process. Today, that changes. Trello now uses MCP (a shared standard that lets […]
How we’re evolving Jira for AI-native software development
New Jira and Teamwork Graph capabilities help engineering teams plan, assign, govern, and measure work across humans and AI agents.
Why AI alone isn’t enough for enterprises (and what Mercedes-Benz did about it)
How connected data and AI agents are closing the gap between individual productivity and enterprise-wide transformation.
Why individual AI speed isn’t delivering the ROI CIOs expected
89% of executives say AI has increased speed. Only 6% can point to org-wide ROI. IDC’s Wayne Kurtzman and Atlassian’s Liz Fosslien unpack what’s missing – and where CIOs should start. Everyone on your team is faster. So why isn’t your organization moving further? That’s the provocation at the center of a recent fireside chat […]
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Inside Atlassian
Get the latest research and insights on AI, teamwork, and more.
How Atlassian for Startups grew from an experiment into a global program
Early-stage startups face a particular set of growing pains. It’s not just figuring out what to build and for whom – there’s also a need to measure progress, coordinate across projects, and keep knowledge accessible, all while likely making some drastic pivots. These challenges are what we call a “collaboration tax,” and if it isn’t […]
Transforming teamwork: Unlocking AI-driven success in cloud
Moving to cloud is a major step forward. What happens next — how teams plan, share, and use AI together — is what separates leaders
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%
Your Jira Board just got a new kind of teammate
AI agents are now first-class teammates in Jira. Here’s how to assign, mention, and automate them directly in the workflows your team already uses.
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
New research shows honesty about AI use at work is backfiring
New research from Atlassian’s Teamwork Lab finds that workers who disclose using AI are judged as 10x lazier than peers doing identical work, unless their
Teaching AI to speak our design language
Atlassian’s use AI to design and build every day, but AI tools are only as good as the context they have. We translated the Atlassian
Great managers meet uncertainty with curiosity and confidence
Author Mark C. Crowley explains why comfort with the unknown is foundational for employee well-being.
Good people management begins with self-understanding
Author Margaret Andrews shares the unsung importance of knowing yourself, plus a worksheet to kickstart your self-understanding journey.
How to minimize the impact of manager changes
Outcomes hinge on how the transition is handled, not how often it happens.
Advice for first-time managers, from leaders who’ve been there
If you’re new to leading a team, take these 29 tips from a slew of seasoned managers.
How executives can bridge the strategy-execution gap for tech-driven organizations
Learn how C-levels can remove chaos and drive clarity by building a truly connected enterprise and optimizing their approach to AI.
How to handle team conflict as a first-time manager
Three scenarios specific to new managers, plus what to do when all else fails.
5 micro-challenges to make your team stronger this week
Strengthening your team’s performance doesn’t have to mean a complete overhaul of your rituals and tools. A little consistency – in how you collaborate, connect
The Dunning-Kruger effect: why and how we overestimate our own abilities
We all have the tendency to overestimate our own abilities (yes, even you). Here’s how to make sense of this cognitive bias.
Brain drain: Are Zombie Projects eating your team’s productivity alive?
Picture the scene: You’ve returned from a wonderful holiday break, invigorated to tackle ambitious projects, and then it hits you. Maybe it’s pinned to your
Toxic positivity at work: how to spot it and squash it
Though well-intended, extreme optimism can hurt more than it helps. Here’s how you can trade false reassurance for true resilience.
All brains on deck: 10 best practices for knowledge-sharing
One person’s knowledge isn’t enough to execute the work that really matters. Even your team can’t go it alone. To make great things happen, your
How hands-on workshops boost teamwide AI confidence
When teams learn by doing, AI stops feeling abstract and starts driving real behavior change, from higher usage to stronger everyday skills.
Bitbucket Tests now supports tracking tests from multiple branches
Tracking tests on non-default branches was one of the most requested capabilities during the Bitbucket Tests (beta). We heard you, and today, we’re shipping it.
Give AI agents the full picture with Loom video prompts
Record your screen, talk through what you want done, and let Loom generate a structured action plan agents can use to execute tasks.
Share packages across your workspace with internal packages
We launched Bitbucket Packages to give teams one place to manage code, pipelines, and artifacts, and we’ve been expanding it ever since, first with Maven
Custom deployment permissions for your environments (Beta)
You shouldn’t have to grant full repository admin rights just to let an engineer or release manager trigger a deployment. To solve the all-or-nothing access
How Axel Springer is using Rovo Dev to help engineering teams focus on higher-value work
Inside the pilot that saved engineers two and a half hours a week – not by generating more code, but by giving AI the context
How to automate product workflows with AI-powered video: A product manager’s guide
Every product team has the same problem. The work that moves a product forward keeps getting squeezed by the work that surrounds it. Status meetings.
Why AI Agents Drift Mid-Task and How a Multi-Agent System Fixes It
How specialist agent orchestration anchored to Jira keeps complex coding tasks on spec. You have probably felt this. You hand a capable AI agent a
Deeplink to your AI coding tool from Jira
Brief your local coding agent with one click from Jira. No copy-paste, no context lost.
Improving Code Reviewer with Atlassian PR Context
Code Reviewer already knew the rules. We gave it history. Rovo Dev Code Reviewer catches PR issues related to code bug, code design, code readability,
Build AI-powered Forge apps with Atlassian-hosted LLMs
LLMs have become a core tool in every app developer’s stack, powering features that feel almost magical. Users can query data with natural language, summarize
How We Cut up to 80% of Engineering “Chores” Using AI Agents in Jira
Flaky tests and stale feature flags drain engineering time quietly. Here is how Atlassian’s engineering team uses AI agents in Jira to automate both.
From Ambiguous Questions to Action: Research Mode in Rovo Dev CLI
Not every developer question starts as a coding task. Sometimes the hard part is figuring out where to look: Jira for work history, code for
Long Horizon: How Atlassian Built a Reasoning Engine for Complex AI Tasks
Last December, when the Rovo hybrid orchestrator was introduced, a hierarchical multi-agent system was introduced, where specialized subagents last introduced, one for Jira, one for
Atlassian’s DESIGN.md is here: what we learned testing portable design context in practice
We tested Google’s DESIGN.md format against our MCP server and AI skills to see where a single portable markdown file fits in your design system
Architecting Scalable ML Platforms: The Integrated Infrastructure and Acceleration Behind Rovo
A novel, enterprise-scale architecture for modular ML development, high-velocity experimentation, and embedded governance – powering thousands of production workflows that underpin AI systems serving millions
How Content Assistant raised the design quality bar without slowing us down
AI is moving fast, and Atlassian app teams are rolling out new features at a cracking pace! In a quest to make sure that UX
The future of product craft: Why AI-native PMs build better products, not just work faster
AI use is accelerating across the modern enterprise. Teams are moving faster. The barrier to building will continue to drop. But the cost of building
Optimisation Tools for Jira: Reducing Configuration Bloat and Enhancing Performance
As Jira Cloud grows to support larger and more complex customers, so does the configuration that powers their work: custom fields, work types (formerly issue
See our newest AI research
New research reveals how AI is making jobs bigger
New research from Atlassian’s Teamwork Lab finds that the more people use AI, the more their capabilities expand—suggesting AI is broadening what workers can do, not simply replacing them.
AI made your people faster. But it’s your office that’s slowing them down.
AI made individuals faster, but your office is still designed for the old bottleneck. Atlassian research reveals a new framework for the AI-enabled office.
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The new shape of teamwork: Designing the Human+AI workforce
Wharton professor and leading AI researcher Ethan Mollick, Magnus Östberg, Chief Software Officer at Mercedes‑Benz AG, and Emily Chang, award‑winning tech journalist and television host, explore what’s working now, what’s not, and how successful teams will build with AI toward long-term advantage.
How Atlassian Williams F1 Team is building an AI-led System of Work
In 2025, we shared how Atlassian Williams F1 Team started aligning strategy, work, knowledge, and AI to unlock the potential of a connected System of Work. Now see what happens when they design for flow. We’ll unpack how Williams is rebuilding purpose, work, knowledge, and intelligence flows across the organization – using the Atlassian System […]
The State of Nonprofit Teams 2026
Our latest data reveals that how teams implement AI, not just whether they do, determines the value it brings to effective teamwork.
Permission to build: Hardwiring a founder mindset into the enterprise
What does it take to maintain a founder’s mindset when your organization scales from a garage to a global powerhouse? Atlassian CEO and co-founder Mike Cannon-Brookes sits down with Reddit co-founder and Seven Seven Six investor Alexis Ohanian to talk leadership and teamwork amid the rapid technological shifts brought by AI. Drawing on their founder […]
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Atlassian named a 4x Leader in the 2026 Gartner® Magic Quadrant™ for DevSecOps Platforms
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Inside Atlassian
Research and insights on how teams can deliver with AI.