The recording of the @aiDotEngineer World's Fair session from Jun 30, 2026, that @hudaman and I did on Building Blocks for Uber's Software Factory is now live! We’re moving closer to an autonomous, agent-driven Software Factory at @UberEng. Underneath it is an AI infrastructure stack designed to let agents safely understand our systems, take action, write and validate code, and maintain software at Uber scale. Six building blocks power the factory: * Model Gateway: PII redaction, safety guardrails, observability supporting 800+ projects and 100M+ requests/day. * MCP Gateway: Connects agents to thousands of internal APIs and SaaS tools, with token-efficient patterns like Omni MCP, CLI, and code-mode skills. * Devpods: Pre-provisioned Kubernetes environments where agents can securely build, execute, and test code. * Skills Marketplace: Skills Marketplace: 3,6K skills with 30K+ executions/day, packaging reusable engineering workflows for agents. * Context Graph: 100M+ entries across 200+ node and edge types, helping agents discover context with lower token and latency overhead. * Cortana: Our AI assistant bringing everything together across Slack, CLI, and web, handling 25K+ sessions/day. We also demoed the full agentic SDLC, taking an idea from Figma → code generation → visual validation → self-healing CI → AI code review → automated code maintenance. 70%+ of Uber PRs originate from local or cloud agents, lines of code per engineer have doubled YoY, and 250+ automated migrations have touched 9M lines of code. Full video here: