Uber Engineering

Discover how Uber Engineering uses Ansible® to automate configuration management for its global enterprise network. Read More: uber.com/us/en/blog/ans… #Uber #UberEngineering

Last week, Uber Engineering hosted a Seattle Systems meetup. We explored topics like analyzing code merge safety at scale and discussed the physical limits of the internet.🌟 It was great to see Seattle's vibrant systems engineering community in action! 🙌 #UberEngineering

Excited to bring Uber & Uber Eats into Claude! Browse restaurants, check fare ranges, see ETAs, and complete trips or orders seamlessly. A strong example of AI simplifying everyday use. Great team effort to make it fast, reliable, and intuitive. 🚀 @UberEng

Discover how Uber AI built an ML validation system to automatically catch critical ID swaps and position jumps in video bounding box annotations, streamlining data quality for object tracking. Read More: uber.com/us/en/blog/val… #Uber #UberEngineering #MachineLearning

It was a big week for Uber Engineering at hashtag #ICSE2026. Read the award-winning research and learn how we’re scaling our testing infrastructure below. AutoCover: Scaling Test Coverage: conf.researchr.org/details/icse-2… AI-Driven Mobile Chaos Engineering: arxiv.org/pdf/2602.06223

Meet Odin’s hybrid core allocation: CPU when you need it, elastic sharing when you don’t—built for efficient scaling. Read More: uber.com/blog/hybrid-co… #Uber #UberEngineering #Odin

Uber Eats scaled its homefeed discovery engine by transitioning to transformer-based generative recommenders and a modernized ML infrastructure to deliver real-time, personalized recommendations to millions. Read More: uber.com/us/en/blog/nex… #UberEngineering #MachineLearning

Discover how Uber uses OpenSearch™’ gRPC™/Protobuf APIs for modern search and ingestion, and learn about our contributions to the gRPC/Protobuf transport in the OpenSearch project. Read More: uber.com/us/en/blog/hig… #Uber #UberEngineering #OpenSearch

Explore how we optimized Petastorm to cut deep learning training time by 6× and eliminated hidden randomness at Uber. Read More: uber.com/us/en/blog/acc… #Uber #UberEngineering #MachineLearning

Large-scale test migrations aren't impossible—they're automatable. Discover how Uber pulled off one of the largest JUnit migrations ever, transforming over 1.25 million lines of test code in just a few months. Read more: uber.com/us/en/blog/jun… #UberEngineering #JUnit

Wonder how Uber scales responsible AI? Dive into Uber’s centralized Model Catalog, automated explainability, and governance built directly into the engineering workflow. Read more: uber.com/us/en/blog/sca… #UberEngineering #ResponsibleAI

☁️🔈 KubeCon + CloudNativeCon EU 2026 is just a few days away! We can’t wait to meet you at Booth 221 to share how Uber is pushing the boundaries of cloud-native infrastructure and demonstrate the power of our Michelangelo ML platform. Register Today: events.linuxfoundation.org/kubecon-cloudn…

Uber’s migration to Kubernetes continues to serve as a catalyst for growth and innovation, with 450 trips per second across 70 countries and 15,000+ cities. Check out this blog from our archive to see where it all began. #UberEng #Kubernetes

Supporting 30 million+ predictions per second, Michelangelo has become Uber's central spine for AI/ML workloads. Getting here has taken work—check out this article published by @thenewstack to learn more.

Staying on top of code reviews and CI/CD updates shouldn't feel like a full-time job in itself. Check out this recording from @tsmith and Anshu Chadha from Uber's Developer Platform team on how we're tackling toil with Uber's Agentic Shift: youtube.com/watch?v=i1tZN4…

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. More to come from the @UberEng team in the coming days.

Uber is setting a new standard for design systems by using the Figma Console MCP to shatter the manual documentation bottleneck. Weeks of spec writing turns into minutes of automated precision. Read more: uber.com/en-EG/blog/aut… #UberEng

Learn how we rebuilt our Ads personalization model with Transformer-based sequential encoders and HeteroMoE to better capture user intent, boost targeting accuracy, and scale intelligent ads delivery across the platform. Read More: uber.com/en-EG/blog/tra… #UberEng

🚲 Join Uber Engineering at @KubeCon_ + CloudNativeCon EU 2026! 🚗 We're excited to be a part of the cloud-native conversation at KubeCon EU 2026! We're presenting our latest work on how Uber's compute platform powers over 1M+ diverse workloads and the key role that Michelangelo plays in enabling our teams to seamlessly build, deploy, and operate machine learning solutions. We can't wait to connect with the community! ❓ Want to know more about how Uber is leveraging Kubernetes at scale, what's next for our open source projects, or interested in where a career at Uber might take you? Visit us at Booth 221 to chat! 🎫 Register for your ticket today: events.linuxfoundation.org/kubecon-cloudn… #UberEngineering #KubeCon #CloudNativeCon #OSS #OpenSource