Jetpack Compose Recomposition: A Deep Dive
7 min read
A detailed look at how Compose recomposition works under the hood, what triggers it, how the slot table tracks state, and how to control it in production apps.
7 min read
A detailed look at how Compose recomposition works under the hood, what triggers it, how the slot table tracks state, and how to control it in production apps.
6 min read
A systems-level breakdown of designing an event tracking system for Android, covering batching, schema enforcement, local persistence, and delivery guarantees.
8 min read
A systematic look at Application Not Responding errors on Android, covering the detection mechanism, common root causes in production, and concrete strategies to fix and prevent them.
8 min read
Real-world memory leak patterns from production Android apps, covering lifecycle-bound leaks, static references, listener registration, and systematic detection strategies.
8 min read
A practical breakdown of Android app startup optimization, covering cold start internals, measurement methodology, and the interventions that produce real improvements.
8 min read
A systematic approach to identifying, measuring, and eliminating frame drops in Jetpack Compose applications, with concrete patterns and tooling strategies.
7 min read
A systematic approach to identifying, isolating, and fixing performance bottlenecks in large Android codebases, covering profiling strategies, common pitfalls, and production-grade tooling.
9 min read
Practical catalog of non-obvious Compose patterns that trigger excessive recomposition, with fixes and measurement strategies for each.
7 min read
Techniques for collecting meaningful performance data from production Android apps without degrading user experience, covering sampling strategies, custom metrics, and real-world pitfalls.
9 min read
A detailed look at ART's garbage collection mechanisms, how GC pauses affect frame rates, and practical strategies to minimize GC impact in production Android apps.
8 min read
A deep examination of Android's Binder IPC mechanism, its thread pool model, and the performance consequences that surface at scale in large applications.
9 min read
Concrete memory allocation anti-patterns in Android and Kotlin code that degrade performance, with profiling strategies and fixes for each.
8 min read
A side-by-side comparison of RecyclerView and LazyColumn performance characteristics, optimization strategies, and trade-offs for production Android apps.
7 min read
How lifecycle mismanagement causes memory leaks, state loss, and crashes in large Android apps, with patterns for handling lifecycle correctly across complex component hierarchies.
9 min read
A systems-level look at the Android main thread, its message queue, how work is scheduled and blocked, and strategies for keeping it responsive in large-scale apps.
8 min read
Strategies for structuring, optimizing, and debugging dependency injection graphs in large Android apps using Dagger/Hilt, covering scoping, build performance, and runtime cost.
8 min read
Practical techniques for shrinking Android APK size in production apps, covering R8 configuration, resource optimization, native library management, and the trade-offs of each approach.
8 min read
A structured methodology for identifying and fixing battery drain in Android apps, covering wake locks, location updates, background work, and network polling patterns.
8 min read
A comprehensive guide to working within Android's background execution restrictions across API levels, covering Doze, App Standby, foreground service requirements, and WorkManager strategies.
7 min read
Architecture for reliable background job execution on Android, covering WorkManager, job prioritization, constraint handling, and failure recovery.
9 min read
Strategies for diagnosing and fixing bugs that disappear when observed, covering race conditions, timing-dependent failures, and non-deterministic behavior in Android applications.
8 min read
A practical framework for catching performance regressions before they reach production, covering CI benchmarks, statistical analysis, alerting strategies, and automated bisection.
7 min read
Architecture for secure authentication flows in mobile apps, covering OAuth 2.0 with PKCE, token management, biometric auth, and session security.