Uber builds agentic system uSpec to automate design specs in minutes instead of weeks
Uber's design systems team faced an enterprise-scale documentation bottleneck: manually producing component specs for hundreds of components across 7 implementation stacks was slow, inconsistent across authors, and drifted out of date whenever a component changed, turning documentation into a dedicated workstream that still could not keep pace.
The agentic system generates complete component specs in minutes instead of weeks; a full screen reader spec covering 3 platforms now generates in under 2 minutes, and a system of hundreds of components that previously required months of spec-writing can generate complete specs in days.
Frequently asked questions
What did this team achieve with this AI workflow?
The agentic system generates complete component specs in minutes instead of weeks; a full screen reader spec covering 3 platforms now generates in under 2 minutes, and a system of hundreds of components that previousl…
What tools did this team use?
uSpec, Cursor, Figma Console MCP, Figma.
What results were reported?
Spec generation time: minutes instead of weeks; Screen reader spec generation time across 3 platforms: under 2 minutes; Full system spec-writing time: months to days (source-reported, not independently verified).
How is this back office ops AI workflow structured?
Designer shares Figma link and context → Agent connects and extracts Figma data → AI interprets and classifies component → Spec rendered directly in Figma.