How many unique users did Uber serve this quarter?
For mission-critical metrics, approximate wasn’t enough. We built a chunked aggregation buffer strategy for exact distinct counts at scale, cutting backfill time by 65% on average.
Read more: https://t.co/bZlZZmBkVx
Across our global sites, engineers and scientists led workshops, talks, and poster sessions on how they’re applying agentic AI to solve real-world challenges, improve the software development lifecycle, and build better tools for developers. 👏 Shoutout to our incredible team!
This week, the team held its annual Engineering & Science day! We welcomed @bcherny to discuss AI-assisted engineering. @praveenTweets also hosted Uber alumni-turned-founders @SamarAtTemporal, @martin_c_mao, @byte_array, whose time at Uber shaped their next ventures.
Cloning multi-gigabyte monorepos creates an infrastructure bottleneck. GitFarm serves Git as a Service via a gRPC API, delivering checkouts under 500ms and cutting resource overhead by 80%+: https://t.co/WziECEAbUy
#UberEngandSci#UberEngineering#PlatformEngineering
Congrats to Uber engineers Gaurav Goel and Sanjeev Suresh on being named Agentic AI Foundation ambassadors!
Their appointments reflect Uber’s commitment to building world-class tech and contributing to the broader developer community.
#UberEngineering#AgenticAI
A look back at @aiDotEngineer World's Fair! 👋
From end-to-end agentic SDLC to AI-powered code review and production evals, the Uber Engineering team presented a taste of what we're building. Follow along for what's next.
Join Uber Engineering at @aiDotEngineer World's Fair! Hear insights directly from the engineering teams applying AI across the software development lifecycle.
See full session details: https://t.co/AqPU71Ws8R
Learn how Uber built zone-failure-resilient OpenSearch® using isolation groups and shard allocation awareness to keep search and ingestion running through zone outages.
🔗https://t.co/HcUxGJsrlV
#UberEngineering#UberEngAndScience
🪪 See how Uber used Apple® Verify with Wallet to reduce friction and improve identity verification across its apps.
🔗 https://t.co/dxqI7hbC3N
#UberEngineering#UberEngandSci
Discover how Uber’s agentic AI assistant turns text or photos of shopping lists, recipes, and meal plans into a ready-to-order Uber Eats cart.
🔗 https://t.co/GT2wnTT6ps
#UberEngandSci#UberEngineering#AgenticAI
Accessing data doesn’t have to be so hard! Discover how Uber supports simple yet powerful reporting experiences on top of complex data sets in this blog about building a data abstraction layer.
🔗 https://t.co/X8ydexRLRa
#UberEngineering#UberEngandSci#DataEngineering
Are you at #CVPR2026? 🗻Drop by the @Uber AV Labs booth (#647) to learn more about our work accelerating the AV ecosystem.
Learn more about our AV Labs team here: https://t.co/XjySylQYqE
How do you protect data at scale? Uber’s File Semantic Analyzer uses GenAI to semantically classify and summarize file content, boosting security and cutting false positives.
Check it out in our latest blog: https://t.co/KNuXnPTVWG
#UberEngineering#AI#SecurityEng
Learn how Uber modernized artifact storage using a managed cloud platform and a proxy to reduce operational risk, control egress costs, and scale build infrastructure.
🔗 https://t.co/coaEbkJnnM
#UberEngineering#DistributedSystems#Caching#Modernization
AI agents can take powerful actions, but can you prove who acted and why? Here’s how Uber built agent identity and end-to-end provenance for secure, auditable tool calls.
🔗 https://t.co/u7yRJwKlpV
#UberEngineering#AgenticAI
Learn how Uber deployed a deep transformer model with graph data pipelines to solve real-time traffic forecasting, improving route quality and arrival times for millions of customers worldwide.
Check out our latest blog: https://t.co/BrbRC6IJLm
#UberEngineering#DeepLearning
What do scheduling TV ads, shipping crates, and Uber incentives have in common? They’re all multiple knapsack problems.
See how we engineered a scalable solution with our new system, Tarot, in our latest blog.
🔗 https://t.co/o5PEl5tVjx
#UberEngineering#MachineLearning
Moving millions of compute cores to Kubernetes without dropping a single request was no small feat. Go behind the scenes on the @KubernetesPod with Uber Staff Engineer Lucy Sweet (@int_underflow).
👇 Link below.
#UberEngineering#Kubernetes
This episode we speak to Lucy Sweet. Staff Engineer @Uber and lead for the @kubernetesio Node Lifecycle WG.
Lucy shares Uber 5 Millions cores on #k8s story at scale and why it's always DNS 😃
📃 https://t.co/4ZdOJF9bzb
🔊 https://t.co/WMJExlQBuc
What if every PM had a fast first-pass reviewer before a PRD reached the review room? We built an AI PRD Evaluator at Uber to surface blind spots early, uncover prior artifacts, and give product reviews higher signal.
Read more: https://t.co/sxo2TGGS6K
#Uber#AIForPMs
With over 2 million cores, 1% efficiency is worth millions. See how Uber tuned Go's runtime stack to boost CPU utilization for a service by 10%.
Read More: https://t.co/F5vLcQcPWz
#Uber#UberEngineering#StackAllocation