Uber Poet, an open source mock application generator, helped us determine if refactoring the application part of our code into a few large modules would make our overall Swift build times faster.
Architecting the Uber driver app for Android, which needs to run for extended periods of time in the background, involved a unique idea where Activities and Services were not included in the structural foundations.
Implementing QUIC protocol against TCP over cellular networks on our apps led to a reduction of 10-30 percent in tail-end latencies for HTTP traffic.
To determine if it made sense to adopt Kotlin for our Android monorepo, Uber's Mobile Engineering team measured Kotlin build performance at scale across a variety of project structures.
Uber's IT Engineering team scaled mobile device management on macOS by leveraging open source tools and custom API-driven Chef cookbooks.
What began as a means of showing Uber's driver-partners their real-time earnings quickly became an extensible means of communicating not just earnings, but also incentives and other useful information within our new driver app.
Our driver app's new server-driven preferences section enables driver-partners to customize their experiences to make the app better fit into their lives.
In our ongoing series about rewriting the Uber driver app, engineer Kevin Babcock explains how we built the connection between the app and the Uber Beacon device, which displays a color remotely selected through a rider's app.
Many people around the world use Android phones based on hardware developed in 2015 and earlier. Uber engineers explain how they developed a lightweight rider app to serve this global audience.
In our ongoing series about rewriting the Uber driver app, engineer Chris Haugli explains how we designed the map display to be resilient, and always show the most useful information.
Rather than shipping out our new driver app as a simple update to Android phones, Uber engineers delivered a dual binary package, enabling a safe and structured rollout of the new app while maintaining support for the previous version.
Uber's new driver app leverages its offline mode along with a cash-drop system organized around restaurants so that Uber Eats customers can pay for deliveries with cash.
In our continuing series about building our new driver app, Uber engineers discuss building its Optimistic Mode feature, which lets the app continue functioning while traversing network lag areas.
In our continuing series about building our new driver app, Uber engineers discuss designing the architecture of the mobile app using RIBs, our open source mobile development framework.
Uber engineers outline how we came to the resource-intensive decision to rewrite, rather than migrate or update, our driver app.
Making JUMP Bikes' semi-dockless electric bicycles available on Uber's platform not only added a popular new transportation type for Uber riders, but also marked an important step in how we can use our technology to broaden transportation options.
Uber's Mobile Engineering team open sources Nanoscope, a new method tracing tool for Android that enables developers to more accurately debug difficult performance issues.
Not Exactly a Linter (NEAL) takes code reviews one step closer to full automation by allowing engineers to write custom syntax-based rules in any language.
To mark the two-year anniversary of Uber Eats, Android engineer Hilary Karls discusses how her team's commitment to "playing the perfect game" resulted in one of Uber’s most successful products.
Uber's mobile engineers leverage code generation to make our applications more reliable and boost developer productivity.