Advancing modern teamwork
AI thinking and product news to unleash the potential of teams
The End of Single-Player AI
We’ve spent years making teamwork more connected and interoperable through open APIs, our developer ecosystem, the Teamwork Graph, Atlassian MCP, the Atlassian CLI and emerging Agent-to-Agent standards. Today we’re taking the next step with AMP, the Agentic Multiplayer Protocol.
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Meet the Forward Deployed Engineer
What are FDEs, and why is Atlassian investing in them?
Why context is the biggest unlock for your AI strategy
What context really means for agents, why models aren’t enough, and how to engineer context your teams can trust.
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 […]
Transforming Service Management for the AI Era
For too long, teams have been trapped in the service status quo: a reactive loop of break-and-fix, siloed tools, lost context, and ticket limbo. The cost is real. Forrester Consulting found that 97% of enterprise leaders struggle to meet service expectations, with lost productivity as the top business cost. Meanwhile, adoption is moving fast. While […]
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Inside Atlassian
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Put Your Context to Work: What’s New in the Teamwork Collection
An agent is only as good as the context you give it. Feed it the right pages, recordings, relationships, decisions, and chat history, keep that context accurate and current, and it ships real work. Cut it off or feed it stale data, and it hands you confident nonsense. The Teamwork Collection, Jira, Confluence, Loom, and […]
Want more confidence in AI? Give it more context.
New Atlassian research finds the bigger predictor of whether AI helps at work isn’t how much people use it — it’s how much of their
How one leader rebuilt his feedback loop with an AI agent
Most leaders think they’re good communicators. Fernando Garcia Valenzuela decided to find out.
AI polish makes it harder to spot problems. But there’s a quick fix.
Reviewers were 22% less likely to catch flaws in AI-polished drafts. Atlassian’s Teamwork Lab found a fix that takes five seconds.
When is AI useful, or just a habit? A Play/Pause break helps teams decide.
Knowing when to reach for AI tools at work – and when not to – is an important skill. Teamwork Lab shows you how to
Building your AI work factory
Most of us do more repetitive work than we realise. Not repetitive in the mechanical sense – not copy-and-paste – but repetitive in structure. This
You don’t need a team of AI experts. You just need one.
New research from Atlassian’s Teamwork Lab found that adding a single AI superuser made teams more likely to achieve a top score during ShipIt.
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.
Bring any data into Atlassian system of work
Architecture, module design, and connection lifecycle for bringing external data into Atlassian’s system of work. This is Part 1 of a two-part series on building
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
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.
The leadership effect: How a single demo nearly doubled AI usage
Inside the 90% spike in AI usage that followed one live demo – and what other leaders can learn from it.
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
Reshaping education for the AI era will take teamwork
The Atlassian Foundation is deploying US$8 million over the next two years to help learners from under-resourced communities thrive in the AI era. If you’re
The next chapter of public sector investments: New milestones, new deployment options
Atlassian is expanding PubSec investments with DoD IL5, FedRAMP High, and air-gapped solutions to provide a secure cloud path for public sector missions.
New in Rovo Chat: Where context shapes your work
Most AI is built for a single person in a single moment. But work is shared, continuous, and cumulative across teams. What starts as an
Autonomous testing with Jira and BearQ
Close the loop between the code your team builds and the quality you ship by bringing an intelligent, assignable agent directly into your Jira workflow.
From plan to presentation in minutes: How Gamma brings your Atlassian work to life
Atlassian and Gamma are now deeply connected, so your work, and the context behind it, moves with you from plan to presentation. AI is supposed
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
How to Speed Up Connect to Forge Migration With AI
This is a guest post by Move Work Forward, an Atlassian Marketplace Partner. We recently moved five of our Atlassian Marketplace apps from Connect to
Jira’s Summer 2026 Release: Smarter Agents, Rebuilt Views, and a Faster Foundation
Over the last six months, we’ve been evolving Jira for AI-native work – building the infrastructure for agents to act on work, shipping new MCP
Coding at the speed of thought: how I talk to Rovo Dev from Slack
I built a ~300-line Python bridge so I can chat with Rovo Dev directly from Slack – no terminal, no context switching, just AI-assisted coding
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.
Online index migration and shard-scaling in OpenSearch with AOSC
Learn how Atlassian built AOSC, an OpenSearch plugin to reshape indices and scale their shards online. AOSC is a zero-downtime* index migration & scaling engine
Inside AI Builders Week: How teams work in the AI era
Each quarter, we ask some of our R&D teams to take a week away from the day-to-day to experiment and innovate on AI. We call
See our newest AI research
Don’t outsource the spark: how to balance human thinking and AI
AI jump-starts speed, but human friction sparks the ownership, peer collaboration, and genuine originality teams need to thrive.
Leading with Context: Lessons from Atlassian’s AI Journey
This report reveals the five questions driving our transformation, the frameworks we tested, and what actually accelerated and improved delivery. Learn what our research shows separates teams that simply adopt AI from those that transform with it.
Watch, listen, and learn
Atlassian’s Chief Product Officer on how roles are expanding, not converging
What does the “AI builder” era look like for product managers inside a large company? At the Lenny and Friends Summit, Atlassian’s Tamar Yehoshua shares examples from Confluence, a new product, and Jira to show how PMs can help teams move faster. She explains when it makes sense for PMs to write code and prototypes, […]
Webinar: Lessons from Atlassian’s AI journey for enterprise leaders
Learn what it actually takes to close the gap between AI adoption and enterprise-wide ROI. Join Atlassian’s Chief People & AI Enablement Officer Avani Prabhakar and Head of Engineering, Developer Infrastructure Hari Lingamagunta for a candid conversation drawn from Atlassian’s Leading with Context report.
Atlassian CEO on the SaaSpocalypse that wasn’t
Mike Cannon-Brookes speaks with The Verge on AI in the enterprise, Atlassian’s new org chart, and why chatbots aren’t the future of work.
How Atlassian built a $45 billion software company far from Silicon Valley’s ‘froth and bubbles’
Atlassian co-founder and CEO Mike Cannon-Brookes sits down with Semafor Editor Andrew Edgecliffe-Johnson to explain why he’s advising other CEOs to make big bets on AI, even if they won’t all pay out.
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Accenture Global IT mastered 6,400 OKRs, but making them visible to leaders was the next challenge.
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Research and insights on how teams can deliver with AI.