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AI thinking and product news to unleash the potential of teams
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.
Shift happens: Finding and fixing the gap between strategic intent and actual work
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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, sped up tasks by 8%, and reached more coding tools.
Accenture Global IT mastered 6,400 OKRs, but making them visible to leaders was the next challenge.
How Accenture Global IT is turning thousands of OKRs into clearer leadership conversations and faster strategic decisions.
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.
The Agentic Pivot: Why the work around code matters more than ever
AI is accelerating implementation. The engineering teams who benefit most will connect context, orchestration, and accountability across the work around code. AI can now help engineers turn ideas into working code in minutes, but software delivery has always been more than just producing code. Engineers need to break down ideas into plans and work items, […]
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Inside Atlassian
Get the latest research and insights on AI, teamwork, and more.
We’re bringing governed agent loops to the AI-Native SDLC
Almost everyone is playing with agents, yet almost no one can let agents run at scale without things breaking. The gap between “cool demo” and “I trust this across hundreds of engineers” is exactly what we’re trying to close with the new features we are shipping today.
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.
Introducing Jira as the System of Record for OpenAI Symphony
Scaling AI coding agents requires moving past interactive, single-session CLI workflows. Even for a single developer, running multiple agent loops in parallel gets messy fast.
The tech we love to hate is the tech we’d hate to lose
New research from Atlassian’s Teamwork Lab finds that even as knowledge workers are uneasy about AI’s broader impact, they increasingly embrace it at work.
Why Rovo is a leading enterprise AI search tool
Rovo Search is now approximately 60% faster! Here are five ways it got more powerful.
Meet the new Rovo Chat: One prompt, multiple steps, zero hand-holding
The new Long Horizon reasoning engine replaces multi-agent routing with a single reasoning loop — and the results speak for themselves. For the first generation
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
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.
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.
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.
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
Atlassian’s usage-based pricing: AI value with predictability and control
As we continue to add new AI capabilities that expand what your teams can do, we’re evolving our usage-based pricing model and providing full visibility
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
More ways to Build on Forge: Container Services is Now in Preview
Today, we’re excited to announce a big milestone for Forge container services: the official Preview release. Apps using containerised services can now be deployed to
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
“You should be a little uncomfortable”: How Cursor is navigating the new shape of product craft
Every week, it seems like the rules change for building products. We’re all figuring this out in real time, and one of the best ways
How Atlassian and Dropbox are driving effective AI transformation
Adopting AI technology without an effective strategy is costing the Fortune 500 an estimated $161 billion a year.* Enterprises are making big investments in this
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.
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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.
AI Team Microlearning
Turn solo AI tinkering into a shared team ritual. These short, low-stakes AI experiments during team meetings help everyone boost confidence, share what works, and turn the best ideas into team‑wide ways of working.
Atlassian’s Chief AI Officer on building products for humans and agents
AI agents are now direct users of the software Tamar Yehoshua’s team builds. In this conversation, she explains how Atlassian’s Teamwork Graph gives an agent the right organizational context and why she never believed agents would kill SaaS.
Why founders pivot, and why you should too
In the Startup Stories with Atlassian series, we interview founders about their entrepreneurial journey, learn about the problems they are trying to solve, and explore how their teams are using Atlassian tools to grow and deliver value to their customers. In this episode of Startup Stories with Atlassian, Adam sits down with Stan Suchkov, Founder […]
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From prompts to orchestration: Scale AI coding agent impact with Jira Automation
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Inside Atlassian
Research and insights on how teams can deliver with AI.