Advancing modern teamwork
AI thinking and product news to unleash the potential of teams
The Atlassian AI PDLC Playbook
AI has accelerated individual work, but that doesn’t automatically make teams better at building products. See how Atlassian is redesigning its product development lifecycle (PDLC) to connect people, agents, and context.
3 lessons from rebuilding Atlassian’s product development lifecycle for people and agents
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Atlassian brings the AI-native SDLC from playbook to production
AI coding assistants were only the start. AI is now showing up across every part of the software delivery lifecycle: planning work, writing code, reviewing pull requests, and helping with incidents. In Atlassian’s 2026 AI SDLC study, 94% of engineering leaders said their teams are already using AI, yet only 6% said they have the […]
Atlassian MCP brings more of your work within reach of any AI agent
Expanded product coverage, sharper task execution, and lower AI overhead across your entire workflow
AI is making developers faster. It’s also exposing what’s broken in software delivery
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 […]
For the third year running, Atlassian named a Leader in the Gartner® Magic Quadrant™ for Marketing Work Management
There’s a lot to be excited about in marketing right now. AI is opening up incredible possibilities to bring ideas to life faster, create more personalized experiences, and reach customers in new ways. As what’s possible grows, so do our ambitions. But anyone who works in marketing knows how much goes into making great marketing […]
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Inside Atlassian
Get the latest research and insights on AI, teamwork, and more.
$7 billion and counting: Why now is the time to build on Atlassian
Partners helped build a $7 billion Marketplace. What will you build next? 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 […]
Showing what you mean in the age of AI
With the new Loom for Mac, Record for agent, and MCP tools, teams can now hand off work to AI agents the same way they
Say yes to AI context without losing control
It’s 9:12 on a Monday, and Maya has a decision to make Maya runs IT for Beaconstone Financial, a fintech company with 2,000 employees. Her
How to use AI to plan a team offsite that works
In-person gatherings are high-effort and high-stakes. Planning one is an ideal use case for an AI agent.
The smartest way to cut AI costs isn’t to use less AI
A survey of 1,000+ knowledge workers shows AI’s true costs are coming into focus. The takeaway for leaders: the path to lower spend runs through
Turn Slack conversations into connected context with Teamwork Graph
Great teams move quickly, and critical decisions happen where conversations flow naturally. Decisions live in Slack: the thread where engineering explains a trade-off, the conversation
Building better, together
AI lets you build faster, but speed can pull the work apart. Here are five practical moves to keep your team, decisions, and quality connected
Introducing the AI context engine for your entire codebase
Atlassian Code Context brings large-scale, multi-repo codebase understanding into the Teamwork Graph so Rovo and coding agents produce better output with fewer tokens Without the
Turn knowledge in Google Drive and Microsoft SharePoint into connected context
Teamwork Graph connectors for Google Drive and Microsoft SharePoint help turn scattered document knowledge into useful context.
Bring GitHub context into Rovo with the Teamwork Graph connector for GitHub
GitHub in Rovo for software teams AI is making it faster to write code. The new bottleneck is understanding the work around the code: what
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.
From tool to teammate: How one Atlassian team made AI a real coworker
In Q4 FY26, Atlassian’s People Insights (PI) team stopped treating AI as a productivity add-on and committed to something harder: fully agentifying its operations.
Everyone agrees on the priorities. Almost no one can see the money and the work behind them.
Your transformation strategy is only as strong as its alignment with team execution and financial investment. Now you can see portfolio health in real time,
From fragmented work to faster public health delivery
Learn how California’s DHCS used Atlassian’s Strategy Collection to connect strategy, delivery, and governance.
How Anaplan is rebuilding the broken chain between strategy and delivery
Strategy usually does not fail because leaders are unclear or teams are slow. It fails in the handoffs between intent, funding, people, systems, and work.
What CIOs told Forrester about building an AI‑ready digital workplace
Forrester surveyed CIOs and IT leaders on what it really takes to build a modern, AI‑ready digital workplace, uncovering gaps, opportunities, and practical next steps
Adam Grant on how AI reshapes work: why agility beats ability
Practical lessons for leaders redesigning teamwork in an AI-first era
Strategy Collection: March 2026 Innovation Spotlight
Read the wrap-up of all of the new innovation we’ve delivered to our Strategy Collection customers since Team ’25 Europe.
Work needs a “why”: 7 team practices for sharing purpose
All work has a purpose. Companies don’t build things for fun (even if we have fun doing it, sometimes). But that purpose doesn’t have to
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
Factory brings autonomous coding work into Jira
Factory and Atlassian have unlocked something big for our shared customers: Factory’s Droid coding agent can now be invoked directly from a Jira work item.
Lessons learned taking AI-built software to enterprise scale
A weekend prototype to a production system in 5 months, at 5x the output.
Atlassian Rovo + Microsoft 365: Turn conversations into completed work, tracked in Jira
Search your full context, trigger @Jira actions, and delegate work to AI agents in Copilot and Teams. Decisions get debated in Teams, documented in Confluence,
Jira goes where spreadsheets can’t
New features – capacity planning, project budgeting, custom reporting, and more – all in one place, connected to the work and ready for AI to
From internal tool to Marketplace: How ScriptFabric built on Forge
TL;DR ScriptFabric started with a problem its own team needed to solve: making Jira scripting more accessible with Javascript instead of relying on specialized Groovy
What high-throughput engineers do differently and why AI widens the gap
We interviewed 15 high-throughput Atlassian engineers. The most interesting finding: AI didn’t make their fundamentals obsolete – it accelerated them significantly.
Why better tickets help agents write better code
A small team built a production-grade compensation app with AI agents. Per engineer, we shipped 5x more code and wrote 5x more Jira tickets, and
3 AI bets powering Atlassian’s integrated marketing impact
Discover how Atlassian marketing leaders use AI to drive real change and exceed modern needs.
Building a real-time PWA on Atlassian’s own stack
We didn’t want just another schedule app. We wanted the app itself to be the product story.
Keeping translation at the pace of AI-era development
Building with AI assistants let developers ship faster, but every feature added text to translate faster than our localization process could absorb.
Budget Allocation at Scale: Building an ML Optimization System for Paid Marketing
Every quarter, Atlassian’s performance marketing team faces a deceptively hard question: given a fixed marketing budget, where should the next dollar go? Across hundreds of
The Events Rail: Inside Atlassian’s Webhook Delivery Platform
Architecture, multi-tenant fairness, and the design principles behind reliable Forge event delivery at scale.
Scaling StreamHub: Transitioning from Kinesis to Kafka for 145 Billion Daily Events
How Atlassian scaled StreamHub from 22B to 150B daily events by migrating from Kinesis to Kafka, and the hard lessons learned along the way.
See our newest AI research
AI was supposed to take on the drudgery. Workers say it’s taking on the good stuff, too.
New Teamwork Lab research finds AI users are handing off as much of the work they enjoy as the work they don’t
AI workslop is a standards problem
It’s easy to blame AI for workslop proliferation. But a quick conversation about standards can easily and systemically fix the problem.
Watch, listen, and learn
Atlassian’s Chief People and AI Enablement Officer calls AI mandates a “very bad start”
Avani Prabhakar told the TNW Podcast why Atlassian treats AI as a people change. Its staff get AI wallets, and token use is monitored, not rewarded.
The State of Product 2027
New research from 1,000 product professionals reveals how AI is accelerating execution, blurring roles, and raising the stakes for deciding what to build. See what’s changing, what’s getting harder, and where product teams need to focus next to stay competitive.
The AI SDLC transformation playbook
Teams across the industry are sprinting to reinvent their software development processes with agentic AI. Yet, navigating the fast-changing landscape of tools and opinions can be daunting for even the most AI-forward organizations. This guide shares Atlassian’s approach and best practices, informed by our own internal AI SDLC transformation and collaborative learnings from top engineering […]
Turning AI into infrastructure with Atlassian’s Head of AI
Sherif Mansour has spent over 16 years at Atlassian helping shape products like Jira and Confluence. Now Head of AI at Atlassian, he’s focused on a bigger shift: how AI changes not just what we build, but how teams work together.
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Accenture Global IT mastered 6,400 OKRs, but making them visible to leaders was the next challenge.
Expanding Asset Discovery: Atlassian Announces Collaboration Agreement with Flexera
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Inside Atlassian
Research and insights on how teams can deliver with AI.