The Quest to Understand Metric Movements
Suppose you just saw an interesting rise or drop in one of your key metrics. Why did that happen? It’s an easy question to ask, but much harder to answer.
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Suppose you just saw an interesting rise or drop in one of your key metrics. Why did that happen? It’s an easy question to ask, but much harder to answer.
AI tools offer a solution to difficult-to-automate regression testing woes.
ne of our Guiding Principles at Etsy is that we “commit to our craft.” This means that we have a culture of learning, in which we’re constantly looking for opportunities to improve and learn
One of the major challenges developers face in Android app development is optimizing app size without sacrificing functionality.
Introducing a new Android UI framework like Jetpack Compose into an existing app is more complicated than importing some AARS
As Android developers, managing memory is one of the most critical aspects of building…
Describes how Google Maps uses Android’s Performance Class to deliver high-quality, premium user experiences.
Merpay swaps old UI for SwiftUI and Jetpack Compose across screens.
Coinbase fine-tunes network calls to make their app feel snappier for users.
Meta shifted their giant Android codebase from Java to Kotlin over years.
We made our engineers happier by cutting build times down from 50 minutes to 16.
Details how Reddit optimized app startup times using Baseline Profiles and R8 for better performance on Android.
We all strive to build flawless apps, but let's face it - bugs happen. And sometimes, those pesky bugs are elusive, only showing up in the unpredictable chaos of production.
OpenAI's ChatGPT is one of the most popular and fastest-growing apps in the world. And from the start, OpenAI has utilized Emerge Tools Snapshots to help ensure they ship a top-tier, bug-free UI on iOS, Android and macOS.
At Pinterest, our mobile infrastructure is core to delivering a high-quality experience for our users. In this blog, I’ll showcase how the Pinterest Mobile Builds team is leveraging Honeycomb.
There is a lot of obsession with app size reduction. This usually is tracked as a metric, compared with peers and I see teams work hard for months to squeeze it up to the last bit.
Discord used synthetic control to measure voice message impact cleanly.
Grab speeds up their GrabX SDK startup to get users rolling quicker.
A single backend response can do a lot more than you think.
Our GrabX clients noticed that the GrabX SDK tended to require high memory and CPU usage. From this, we saw opportunities for further improvements that could: