Advancing modern teamwork
AI thinking and product news to unleash the potential of teams
Atlassian’s Forward Deployed Engineering Playbook
Why enterprise AI stalls Across our Forward Deployed Engineering (FDE) engagements, the same four reasons enterprise AI stalls show up again and again. This Playbook outlines what we’ve learned from solving them in the field. By the numbers How it works Atlassian FDEs are senior engineers, bringing AI engineering and applied AI together in a […]
AI is making developers faster. It’s also exposing what’s broken in software delivery
For the second straight year, Atlassian named a Leader in the 2026 Gartner® Magic Quadrant™ for Collaborative Work Management Platforms
Latest by topic
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
Context engineering: managing context quality for more efficient, effective AI
In 2025, companies spent a collective $581 billion on AI. The results were underwhelming: according to a study by MIT, 95% of Enterprise AI pilots showed zero impact on organization’s bottom lines. In short, the vast majority of AI pilots are unsuccessful. The reflex is to blame the models. The evidence points somewhere easier to […]
Millions of users moved to cloud in just one year thanks to FastShift
Guiding your organization through the next technological wave of intelligent work requires a platform built to scale innovation and accelerate cross-functional collaboration. The Atlassian Cloud Platform delivers that future today, with the context-rich Teamwork Graph and embedded AI experiences on an enterprise-grade foundation engineered for security and scale. Atlassian Cloud breaks silos to unlock faster […]
The Atlassian platform is for multiplayer human-agent work
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.
Subscribe for more
Inside Atlassian
Get the latest research and insights on AI, teamwork, and more.
How The Browser Company moves so fast: 3 habits you can borrow
Atlassian’s Teamwork Lab went inside the startup behind Dia and Arc to learn how it keeps AI speed from getting trapped in slow systems.
Introducing CAFE(S): A framework for defining AI context quality
Five durable properties for evaluating the context we hand to AI agents.
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.
How Content Technology is powering Atlassian’s AI quality
Large language models can write fluent answers, but accuracy requires structure. Here’s how we’re building content infrastructure to keep AI grounded.
Giving AI agents design system context from the terminal: what we learned building a CLI
Why ship a CLI when you already have an MCP server? Here’s how giving AI agents design system context from the terminal cut token costs,
AI made you faster. It didn’t make you better.
One point four million real workplace conversations with AI were analysed last year. About 5% of people were using it in ways that improved the
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
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.
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
Meet the all-new Loom for Mac: faster, sharper, and delightful by default
Rebuilt natively from the ground up, the new Loom for Mac brings instant recording, automatic screen decluttering, and AI-ready video prompts right to your menu
Expanding Asset Discovery: Atlassian Announces Collaboration Agreement with Flexera
Modern enterprise IT environments are evolving at breakneck speed. Between multi-cloud infrastructure, hybrid work endpoints, and rapid SaaS sprawl, traditional IT service management (ITSM) tools
Announcing the Team 2026 Europe Atlassian Impact Maker Award Winners
At Atlassian, we know you’re only as strong as the Team around you. Today at Team ‘26 Europe, we are celebrating this year’s Impact Maker
Bring data context into the Teamwork Graph, so every team can put Insights to work
The Insights app adds governed metrics, definitions, and lineage to the graph, so teams, and their agents can put trusted answers to work
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
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
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
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.
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
See our newest AI research
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 better context, visibility, and tool choice, not tighter limits.
Watch, listen, and learn
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 […]
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, […]
How CTOs and CHROs will drive the next wave of AI value
AI is everywhere, but 96% of business leaders say it has not translated into company-wide ROI. Join this webinar for a research-backed look at how CHROs and CTOs can partner to drive the kind of AI adoption that delivers meaningful business impact.
Explore more
Accenture Global IT mastered 6,400 OKRs, but making them visible to leaders was the next challenge.
The next chapter of public sector investments: New milestones, new deployment options
Subscribe to unleash the potential of your team
Inside Atlassian
Research and insights on how teams can deliver with AI.