Scaling Shredzilla: Slaying Memory Leaks & Mastering State in Jetpack Compose

Building a fitness app is easy. Building a production-ready, offline-capable, memory-efficient fitness app that survives Android's brutal lifecycle changes? That's a different beast entirely. Over ...

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Scaling Shredzilla: Slaying Memory Leaks & Mastering State in Jetpack Compose

Source: DEV Community

Building a fitness app is easy. Building a production-ready, offline-capable, memory-efficient fitness app that survives Android's brutal lifecycle changes? That's a different beast entirely. Over the past few weeks, I’ve been heavily refactoring my open-source workout tracker, Shredzilla, moving it from a "working prototype" to a rock-solid, production-ready architecture. In this article, I want to share the critical architectural lessons learned during the v1.1.0 Refactoring Sprint, how we solved some nasty memory leaks, and what’s coming next in the v1.2.0 Performance Update. What We Achieved in v1.1.0: The Great Refactoring Version 1.1.0 was all about Stability, Security, and DRY Principles. Here are the biggest wins: 1. Slaying the Eternal Firestore Memory Leak 🧛‍♂️ If you use Firebase Firestore's addSnapshotListener, you might be leaking memory without realizing it. Previously, Shredzilla's listeners stayed alive in the background even after a user logged out, consuming memory a

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