Agentic SDLC at Uber: Building Blocks for Uber's Software Factory

Official Schedule Context

99% of Uber engineers are using AI every month, 70% of PRs are attributed to AI, and 15% of PRs are

now done entirely by autonomous agents. In this session, we go behind the scenes to show you exactly

what it takes to get there — starting with the foundational building blocks: the model gateway, MCP

infrastructure, agent skills, knowledge systems, and cloud developer environments that make agentic

engineering possible at scale. Then, once those foundations are in place, we show you how to

assemble them into a fully agentic SDLC. We'll walk through every stage — from research and spec

writing, to autonomous code generation, to verifying and validating that code before it ships, to

monitoring what happens after it lands, and continuously improving it over time. With tooling

example demos throughout. Whether you're just starting your agentic journey or already running

agents in production, you'll leave with a concrete blueprint for what this looks like end to end.

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