Smarter Application Caching with Kotlin Flow
summary
Shows a concrete caching layer built with Kotlin Flow that emits cached data immediately and network data when it arrives, using a createCachedCacheFlow pattern backed by a Firestore GET as the source and Compose + ViewModel for state. Demo uses a Firestore backend with a simulated 7s network delay and a max data age 3s policy, demonstrating layered caches, OkHttp/cache-control tradeoffs, an error-filter policy that surfaces real errors (e.g. user not found), and a working offline UX with stale-data banners.
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chapters (10)
- 0:00Introduction and setup
- 1:52Why native apps over web
- 6:10Cache control headers explained
- 11:25Application layer caching
- 17:21Nick's caching layer concept
- 18:46Live demo of caching layer
- 23:00Handling errors and stale data
- 27:13Code walkthrough of caching layer
- 35:33Stale data indicator implementation
- 38:20Summary and call to action
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