How We Build
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 for OpenSearch, built as an OpenSearch plugin. It’s open source (GitHub repo, docs), and this post is the story of how, and why, we built it. Anyone who has worked […]
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 this AI Builders Week, and it helps fuel our AI transformation.
“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 we’ve found to do that is to sit down with other leaders who are in the thick of it. That’s why Atlassian recently started a series called AI Talks at […]
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 space but are struggling to realise the returns. We know the technology is designed to make businesses more efficient, but we’re still seeing the opposite because most businesses are treating […]
HR in the age of abundant intelligence – what we believe
Atlassian’s People Team believes the future will only be discovered through experimentation. These are their bets for the HR craft.
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 Confluence, one for Slack, and so on — each handled their own domain. The hybrid orchestrator would decompose a user’s query, route subtasks to the right agent, and combine the […]
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 tooling. Here’s what we learned.
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 of Rovo users globally. Introduction: Engineering for Speed, Scale, and Governance in Enterprise AI As enterprise adoption of machine learning accelerates, organizations must operate ML systems across large, distributed teams […]
Atlassian’s customer zero strategy: Build products from the inside out
Atlassian spent nearly two years running its own enterprise AI transformation before it began selling the results. The company treated AI adoption as a company-wide effort, building and deploying agents across sales, HR, and finance, and rigorously tracking outcomes. What emerged is a playbook grounded in operational experience.
How Atlassian’s Chief Design Officer Builds for Agents
Every 1% increase in the context your agents receive produces a 0.38% improvement in output quality. LangChain’s State of AI Agents 2026 report makes that measurable — and it makes interface design the highest-leverage investment most product teams aren’t treating it as. At Atlassian Team ’26 in Anaheim, Chief Design Officer Charlie Sutton made the […]
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 content stayed top quality, our content design team created the Content Assistant: a helpful teammate powered by Atlassian’s Rovo. It quickly became one of the business’s favourite AI helpers. Here’s what we learned while building it and where we’re going next!
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 the wrong thing is about to skyrocket, because teams can now ship more of it, faster. Atlassian’s State of Teams 2026 report found that 89% of executives say AI has […]
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 types), screens, schemes, and workflows. Over time, many of these entities become unused or redundant. The result is configuration sprawl—slower experiences, heavier data shapes, and higher admin overhead. To scale […]