A Visual Guide to Clean Architecture

Interactively explore the layers, components, and data flows that make Clean Architecture a powerful pattern for building scalable and maintainable Flutter applications.

Why Clean Architecture?

This architecture provides a structured approach that yields significant, long-term advantages for complex projects. Here are the core benefits.

๐Ÿงช

Enhanced Testability

Isolates business logic from UI and databases, making unit tests faster and simpler to write.

๐Ÿงฉ

Framework Independent

Your core logic doesn't depend on Flutter or other packages, making upgrades and migrations easier.

๐Ÿ”ง

High Maintainability

Separation of concerns means changes in one layer don't break others, simplifying updates.

๐Ÿ“ˆ

Scalable & Flexible

The modular structure supports application growth and makes adding new features straightforward.

Explore the Layers

Clean Architecture is organized into concentric circles, with a strict rule: dependencies only point inwards. Click on any component to see its role, responsibilities, and a code example.

Presentation

View
ViewModel

Data

Repo Impl.
Data Source
Model (DTO)

Domain

Entity
Use Case
Repo Interface

Select a Component

Click an item in the diagram to learn about its role.

Data Flow in Action

Follow the journey of a user request from the UI to the data source and back. Click "Next Step" to see how each component interacts in a predictable, unidirectional flow.

View
ViewModel
Use Case
Repository
Data Source

Practical Guide

Explore recommended folder structures and best practices for implementing Clean Architecture in a real-world Flutter project.

Recommended Folder Structure

lib/
โ”œโ”€โ”€ core/             # Cross-cutting concerns (utils, constants, failures)
โ”œโ”€โ”€ domain/           # Core business logic (Entities, Use Cases, Repository interfaces)
โ”‚ย  ย โ”œโ”€โ”€ entities/
โ”‚ย  ย โ”œโ”€โ”€ repositories/ # Abstract interfaces (e.g., auth_repository.dart)
โ”‚ย  ย โ””โ”€โ”€ usecases/
โ”œโ”€โ”€ data/             # Data implementations (Repositories, Data Sources, Models)
โ”‚ย  ย โ”œโ”€โ”€ datasources/  # Local (DAOs) & Remote (API clients)
โ”‚ย  ย โ”œโ”€โ”€ models/       # Data Transfer Objects (DTOs)
โ”‚ย  ย โ””โ”€โ”€ repositories/ # Concrete implementations (e.g., auth_repository_impl.dart)
โ””โ”€โ”€ presentation/     # UI Layer (Widgets, Screens, ViewModels)
ย  ย  โ”œโ”€โ”€ features/     # Organized by feature (e.g., auth, learning)
โ”‚   โ”‚   โ”œโ”€โ”€ auth/
โ”‚   โ”‚   โ”‚   โ”œโ”€โ”€ screens/
โ”‚   โ”‚   โ”‚   โ””โ”€โ”€ viewmodels/
โ”‚   โ”‚   โ””โ”€โ”€ learning/
โ”‚   โ”‚       โ”œโ”€โ”€ screens/
โ”‚   โ”‚       โ””โ”€โ”€ viewmodels/
ย  ย  โ”œโ”€โ”€ _shared/      # Shared widgets, styles
ย  ย  โ””โ”€โ”€ widgets/      # General reusable widgets

When to Use It?

โœ… Ideal For:

Large, complex applications with a long lifespan where testability, maintainability, and scalability are critical (e.g., banking, healthcare, major e-commerce apps).

โš ๏ธ Caution For:

Small, simple apps or prototypes. The initial setup overhead can be significant and might slow down initial development (risk of over-engineering).