Companies are cutting new grad hiring to save money. Atlassian research suggests they're actually cutting their fastest path to AI adoption. The post HR in the age of abundant intelligence – what we believe appeared first on Inside Atlassian.
#how we build
10 posts
24 Jun
18 Jun
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 […] The post Long Horizon:…
10 Jun
Architecting Scalable ML Platforms: The Integrated Infrastructure and Acceleration Behind Rovo
Inside AtlassianA 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 […] The post Architecting Scalable…
1 Jun
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…
29 May
The future of product craft: Why AI-native PMs build better products, not just work faster
Inside AtlassianAI 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 […] The post The future…
14 May
Optimisation Tools for Jira: Reducing Configuration Bloat and Enhancing Performance
Inside AtlassianAs 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 […] The post Optimisation Tools…
6 May
Over the past few decades in the technology industry, some of the biggest constraints to building products have been about having enough engineers, time, or compute. For the first time, that era is ending. Tech teams are experiencing a revolution unlike anything they’ve seen before. The barriers to entry for building have all but disappeared. […] The post The bottleneck…
29 Apr
A year ago, my workflow looked very different. When a design problem opened up, I explored it by hand. Multiple screens. Multiple flows. Sometimes two or three versions of the same interaction just to compare one subtle difference. Divergent ideas spread across endless pages and files. The work helped us think, but it also created […] The post Designing In…
Everyone is shipping AI products now, and most look impressive in demos but fail in the messy reality of daily work. The problem often isn’t the model; it’s the product built around it. In this article, I’ll share what I’ve learned building AI products in environments where trust isn’t optional, and what it actually takes […] The post Designing AI…
At Atlassian, we use Merge Queues to ship frequent changes with confidence and streamline pull request merges. Across some of our busiest codebases, Merge Queues have sharply reduced incident frequency and turned merging from a stressful bottleneck into a background task. Today, most of our largest repositories rely on Merge Queues—over 70 large repos across […] The post Inside Atlassian’s…