Learn how Atlassian engineered Rovo’s AI canvas to enable seamless, collaborative creation of pages, whiteboards, and databases—all within a unified platform.

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Atlassian engineering team details how they built the collaborative AI canvas for Rovo, their platform-wide AI agent. The post covers the design philosophy of treating content creation as a human-AI collaboration rather than a one-shot generation, and dives into technical decisions for three content types: Confluence pages (using ADF JSON with a repair library and editor-style commands), whiteboards (using SVG as an intermediate format with a streaming SAX parser), and databases (using three structured CSVs wrapped in XML). It also explains the Rovo Bridge API, a bidirectional communication layer built on a Transport abstraction supporting postMessage and Electron IPC, which enables real-time streaming of generated content across different surfaces and JavaScript contexts.

Creating with Rovo: How We Built a Collaborative AI Canvas