---
title: "Agentic SDLC at Uber: Building Blocks for Uber's Software Factory"
category: "talks"
date: "2026-06-29"
time: "11:40am-12:00pm"
track: "AI-Native Enterprises"
room: "Leadership 1"
speakers: ["Uday Kiran Medisetty", "Adam Huda"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "AI-Native Enterprises"
scheduleRoom: "Leadership 1"
scheduleLabels: ["AI-Native Enterprises", "Leadership 1", "session", "confirmed"]
---
# Agentic SDLC at Uber: Building Blocks for Uber's Software Factory

## Conference Context
- Date/time: 2026-06-29 · 11:40am-12:00pm
- Track/room: AI-Native Enterprises · Leadership 1
- Speaker(s): Uday Kiran Medisetty, Adam Huda
- Session type/status: session · confirmed

- Track: AI-Native Enterprises
- Room: Leadership 1
- Session type: session
- Status: confirmed

## Session Description
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.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[uday-kiran-medisetty]]
- [[adam-huda]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Agentic SDLC at Uber: Building Blocks for Uber's Software Factory ## Conference Context - Date/time: 2026-06-29 · 11:40am-12:00pm - Track/room: AI-Native Enterprises · Leadership 1 - Speaker(s): Uday Kiran Medisetty, Adam Huda - Session type/status: session · confirmed - Track: AI-Native Enterprises - Room: Leadership 1 - Session type: session - Status: confirmed ## Session Description 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.

### Speaker And Company Context
- [[uday-kiran-medisetty|Uday Kiran Medisetty]] — Distinguished Engineer at [[uber|Uber]].
- [[adam-huda|Adam Huda]] — Sr Engineering Leader for AI Dev Tools at [[uber|Uber]].

### Topics Covered
- [[agentic-search]]
- [[coding-agents]]
- [[mcp]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.