1. The Evolution of MVVM
Google popularized MVVM in 2017 with Android Architecture Components. In standard MVVM, the ViewModel exposes multiple observable properties (such as isLoading, userData, errorMessage) to the View. While simple, classic MVVM introduces a known flaw: state fragmentation, where multiple independent LiveData/StateFlow streams can momentarily disagree, causing weird UI glitches.
2. Enter MVI: Unidirectional Data Flow (UDF)
MVI takes inspiration from Redux and the Elm architecture. Instead of multiple disparate state variables, MVI consolidates everything into a single, immutable state model driven by cyclical intent flow:
[User / View] āā(Dispatches Intent/Event)āā> [ViewModel / Reducer]
ā² ā
ā ā¼
āāāāāāāāāā(Emits Single Immutable State)āāāāāāāāā
3. Concrete MVI Implementation in Kotlin
// 1. Immutable State
data class AppListState(
val isLoading: Boolean = false,
val apps: List = emptyList(),
val errorMessage: String? = null
)
// 2. User Intents / Events
sealed interface AppListIntent {
object RefreshCatalog : AppListIntent
data class FilterByCategory(val category: String) : AppListIntent
}
// 3. ViewModel with Reducer
class AppListViewModel : ViewModel() {
private val _state = MutableStateFlow(AppListState())
val state: StateFlow = _state.asStateFlow()
fun processIntent(intent: AppListIntent) {
when (intent) {
is AppListIntent.RefreshCatalog -> fetchApps()
is AppListIntent.FilterByCategory -> filterApps(intent.category)
}
}
private fun fetchApps() {
viewModelScope.launch {
_state.update { it.copy(isLoading = true, errorMessage = null) }
try {
val results = repository.getApps()
_state.update { it.copy(isLoading = false, apps = results) }
} catch (e: Exception) {
_state.update { it.copy(isLoading = false, errorMessage = e.message) }
}
}
}
}
4. The Verdict
For modern Jetpack Compose applications, MVI (or MVVM with single UDF StateFlow) is the definitive gold standard. It provides predictable, deterministic UI rendering, simplifies screenshot testing, and eliminates race conditions.
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