From tool to teammate: How one Atlassian team made AI a real coworker
Jul 8, 2026Nate Smith, Vlad Medenica

Summary
This post details the Atlassian People Insights (PI) team's transition from treating AI as a productivity add-on to fully agentifying their operations. They built a three-layer AI system (Foundation, Team, Individual) using VS Code, Rovo Dev, and Bitbucket, integrating with enterprise tools via MCP integrations and the DS Agent Starter Kit. This system provides persistent, structured access to context, enabling AI agents to act as collaborators. The post highlights the importance of context engineering, the role of peer champions in adoption, and the significant increase in AI usage and understanding within the team. It also mentions the upcoming Rovo CLI to reduce setup complexity and the use of the Teamwork Graph for context engineering.
More from the AI-Native Software Development Capabilities in Jira trail
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- How we made vulnerability fixes review-ready with Agentic Pipelines
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- Opening the door to agent autonomy: The architecture behind Rovo’s agent harness