Project Butter: A Journey for App Performance Improvement
A comprehensive guide to improving App Performance for Mobile Apps
Showing 20 of 552 articles (Page 1 of 28)
A comprehensive guide to improving App Performance for Mobile Apps
Platform Views + performance considerations (hybrid composition, frame lag) + testing guidance.
Advanced optimization techniques and best practices for using HashMap and Set in Kotlin for improved app performance.
Flutter ↔ native integration via channels; includes performance-related motivation (heavy computations, etc.).
How Grab's AutoTrack SDK is used to revolutionize session tracking and troubleshooting by providing complete user journey data.
Comprehensive playbook for resilient offline UX: local caching, sync, conflict handling
Flutter API caching patterns (headers + Dio caching) to improve latency/UX and reduce network usage.
Improving Android build performance through modularization using the Core/Core-Impl pattern.
Step-by-step plan to level up app perf using Play Console vitals
Media3 + Compose UI patterns to modernize video playback surfaces while keeping rendering smooth
Slack's journey in improving Android accessibility and compliance with the Voluntary Product Accessibility Template (VPAT ).
All week long, we're providing you with low-effort, high-impact tools and guidance to get your app on the fast track to better performance. We help you lay the foundation and then dive deeper into helping your app become a better version of itself.
Techniques for using Compose stability to significantly improve Android app performance and reduce recompositions.
Runtime-aware sharding + EC2 bare-metal emulators reduced slowest shard 55% and E2E build time
After a year of effort, I finally achieved 0% ANR in Respawn. Here's a complete guide on how I did it.
Details on how Reddit improved the ExoPlayer library for faster video startup times and better quality.
Grab moved macOS CI/CD close to its Git servers, improving iOS build & pipeline times ~20–45% and saving ~$2.4M over 3 years, with stability maintained. (Grab Tech)
In 2025, AI became our star driver. After years of building the infrastructure — Mercury for test and release management, Helios for VM orchestration
Two years after the experiment began, Airbnb quietly abandoned React Native and rewrote much of the app in native code. The public post explaining why sparked debate: did the framework fail, or did the team choose poorly?
For years, the biggest question mark over cross-platform frameworks like Flutter has been simple: Can it truly feel native?