Uday Kiran Medisetty

Uber

Uday Kiran Medisetty is a Distinguished Engineer at Uber, where he leads engineering efforts spanning Agentic AI experiences across first-party and third-party surfaces, and GenAI initiatives for engineering productivity (agentic coding, AI debugging, code reviews, and large-scale refactoring). He also co-leads the company-wide engineering community shaping Uber's architecture, culture, and standards. Over 11+ years at Uber, Uday has led some of the company's largest technical undertakings, including the ground-up rebuild of the Fulfillment Platform that powers billions of daily transactions across Mobility and Delivery, and the Earner multi-gig platform supporting diverse earning opportunities globally. Earlier, he was a Staff Engineer at VMware, building next-generation API infrastructure used across the company's product lines. He holds an MS in Computer Science from Georgia Tech and a BS from BITS Pilani, India.

Sessions (1)

Agentic SDLC at Uber

11:40 AM·Leadership 1 · Room 3016

Can give a deeper look into Agentic AI at Uber. Reference material: https://x.com/praveenTweets/status/2033627282418655711 Agentic software engineering adoption is on fire at @Uber . 1,800 code changes per week are now written entirely by Uber's internal background coding agent, and 95% of our engineers now use AI every month across all the tools we track. This is a real reset moment for engineering; it's one of the most exciting times to lead. This shift requires builders to be curious and hands-on. I’m incredibly lucky to be surrounded by a team that’s doing exactly that. The best part is that the strongest adoption isn’t being pushed top down from leadership announcements; it’s coming from engineers who are quietly experimenting, quietly shipping, and quietly pushing things forward. I love spending time with those engineers because there’s no substitute for being close to the work. Over the last few months, we leaned in hard, and the results have been phenomenal. The bigger shift: going agentic. 84% of AI users are now working with agent-style workflows, not just tab completion. Claude Code usage nearly doubled in 2 months (32% → 63%), while IDE-based tools have largely plateaued. Engineers are moving from accepting suggestions to delegating tasks. Even within traditional IDEs, ~70% of committed code is now AI-generated. Background agents are writing code autonomously. Our internal background coding agent went from <1% of all code changes to 8% in just a few months. There is zero human authoring. Engineers review and approve, but the code is written entirely by AI agents. The role of the engineer is shifting - from writing every line to architecting systems and reviewing AI-generated code. Speakers: Uday Kiran Medisetty — Uber; Adam Huda — Uber.

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