Bryn Flow
Roundup

Best Android Architecture Patterns in 2026

"Which architecture should I use?" is one of the most common questions from developers moving past tutorials into a real app. Here's what MVVM, MVI, and Clean Architecture actually look like in a Compose codebase, and a practical answer for when each is worth the overhead.

MVVM (Model-View-ViewModel)

MVVM is the default, lowest-friction pattern for Compose apps — and for good reason, since Android's own ViewModel and StateFlow APIs are built around it. The View (your composables) observes state exposed by the ViewModel; the ViewModel talks to a repository or data layer and exposes UI state, usually as a single StateFlow<UiState>.

class NotesViewModel(private val repo: NoteRepository) : ViewModel() {
    private val _uiState = MutableStateFlow(NotesUiState())
    val uiState: StateFlow<NotesUiState> = _uiState.asStateFlow()

    fun loadNotes() {
        viewModelScope.launch {
            _uiState.update { it.copy(isLoading = true) }
            val notes = repo.getAll()
            _uiState.update { it.copy(isLoading = false, notes = notes) }
        }
    }
}

Best for: most apps, especially small-to-medium teams and solo developers. It's what our own Notes App tutorial and Weather App tutorial use, and it's the pattern Google's own architecture guidance centers on.

MVI (Model-View-Intent)

MVI is a stricter variant: instead of the View calling arbitrary ViewModel functions, all user actions are modeled as explicit "Intent" (or "Event") objects sent through a single entry point, and the ViewModel reduces them into a new immutable UI state. This makes state transitions fully traceable and testable — every state change has exactly one path that produced it.

sealed interface NotesIntent {
    data object LoadNotes : NotesIntent
    data class DeleteNote(val id: Int) : NotesIntent
}

class NotesViewModel : ViewModel() {
    private val _state = MutableStateFlow(NotesUiState())
    val state: StateFlow<NotesUiState> = _state.asStateFlow()

    fun onIntent(intent: NotesIntent) {
        when (intent) {
            is NotesIntent.LoadNotes -> loadNotes()
            is NotesIntent.DeleteNote -> deleteNote(intent.id)
        }
    }
}

Best for: apps with complex, multi-step UI state (checkout flows, multi-screen wizards, undo/redo) where you want a single, auditable trail of "what happened and in what order." The extra ceremony (defining Intent types for every action) is real overhead that isn't worth it for a simple CRUD screen.

Clean Architecture (layered: data / domain / presentation)

Clean Architecture isn't a state-management pattern like the two above — it's a layering strategy, usually combined with MVVM or MVI at the presentation layer. The idea: separate your app into a data layer (Room, Retrofit, repositories), a domain layer (plain Kotlin use-case classes with no Android dependencies), and a presentation layer (ViewModels + Compose UI) — with dependencies only pointing inward, so the domain layer knows nothing about Android or the data layer's implementation details.

// domain layer — no Android or Retrofit/Room imports
class GetNotesUseCase(private val repository: NoteRepository) {
    suspend operator fun invoke(): List<Note> = repository.getAll()
}

// presentation layer
class NotesViewModel(private val getNotes: GetNotesUseCase) : ViewModel() { /* ... */ }

Best for: larger teams and codebases expected to live for years, where the ability to swap a data source (e.g. Room for a different local database) without touching business logic, and to unit-test use cases with zero Android dependencies, pays for itself. For a small app or an MVP, the extra indirection (a use-case class per operation) is usually premature — you can always introduce a domain layer later once the app's complexity actually demands it.

A practical decision guide

These aren't mutually exclusive — a large app commonly uses Clean Architecture's layering for organization and MVI within the presentation layer for its most complex screens, while simpler screens stay plain MVVM. Pick per-screen complexity, not a single dogma for the whole app.

Where to go next

Practice these patterns hands-on

The Android track's project tutorials use MVVM end-to-end with real, runnable code.

Go to the Android Track