Android Development
Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design,…
by mindrally · Apache-2.0
The skill
Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications
Android Development Best Practices
General Kotlin Guidelines
Basic Principles
- Use English for all code and documentation
- Always declare variable and function types explicitly
- Avoid the
anytype; create necessary custom types - Eliminate blank lines within function bodies
Naming Standards
- PascalCase: Classes, interfaces, enums
- camelCase: Variables, functions, methods
- underscores_case: Files and directories
- UPPERCASE: Environment variables, constants
- Avoid magic numbers; define constants instead
- Functions should start with action verbs
- Boolean variables use prefixes:
isLoading,hasError,canDelete
Function Design
- Keep functions under 20 instructions with single responsibility
- Use verb-based naming
- Prefix boolean returns with
is,has, orcan - Prefix void returns with
execute,save,send - Combat nesting through early returns, utility extraction, and higher-order functions
- Use default parameters instead of null checks
- Consolidate parameters into objects (RO-RO pattern)
Data and Classes
- Employ data classes for data structures
- Encapsulate primitives in composite types; validate internally
- Favor immutability; use
valfor unchanging values - Follow SOLID principles; prefer composition over inheritance
- Keep classes under 200 instructions, 10 public methods, 10 properties
Exception Handling
- Reserve exceptions for unexpected errors
- Catch exceptions only to fix anticipated issues or add context
- Create custom exception types for domain errors
Android Architecture
Clean Architecture
- Implement clean architecture with clear layer separation
- Use repository pattern for data persistence and caching
- Keep business logic in Use Cases or Interactors
- Separate concerns between UI, domain, and data layers
Project Structure
app/
├── data/ # Data sources, repositories, models
├── domain/ # Use cases, domain models, interfaces
├── presentation/ # UI components, ViewModels, state
└── di/ # Dependency injection modules
MVI Pattern
- Deploy MVI pattern for state and event management
- ViewModels manage UI state as a single immutable state object
- UI components observe state and render accordingly
- Handle user intents/events through a single entry point
- Keep side effects predictable and traceable
UI Development
Navigation
- Use Navigation Component for fragment and activity routing
- Define navigation graph for app flow
- Handle deep links through Navigation Component
- Implement safe args for type-safe navigation arguments
Main Activity Structure
- MainActivity manages primary navigation
- Use BottomNavigationView for main destinations (Home, Profile, Settings, etc.)
- Handle navigation state properly across configuration changes
View Binding and State
- Use ViewBinding for type-safe view access
- Use Flow or LiveData for UI state management
- Observe state changes in lifecycle-aware manner
- Handle loading, error, and success states consistently
UI Framework Preferences
- Prefer XML layouts and Fragments over Jetpack Compose (unless Compose is specifically required)
- Use ConstraintLayout for complex layouts
- Apply Material 3 design guidelines
- Follow responsive design practices for different screen sizes
Authentication Flow
Structure authentication screens properly:
- Splash Screen - Initial app launch
- Login Screen - User authentication
- Register Screen - New user registration
- Forgot Password Screen - Password recovery
- Verify Email Screen - Email verification
Testing
Unit Testing
- Follow Arrange-Act-Assert conventions
- Test ViewModels, Use Cases, and Repositories
- Use test doubles for dependencies
- Achieve good coverage of business logic
UI Testing
- Implement widget testing for UI components
- Write integration tests for API modules
- Test navigation flows
- Use Espresso for instrumented tests
Best Practices
Lifecycle Management
- Handle lifecycle events properly
- Avoid memory leaks from improper lifecycle handling
- Use lifecycle-aware components
Background Processing
- Use Coroutines for async operations
- Handle cancellation properly
- Use WorkManager for deferrable background work
Dependency Injection
- Use Hilt or Dagger for dependency injection
- Scope dependencies appropriately
- Keep DI configuration organized
Performance
- Avoid work on the main thread
- Optimize RecyclerView with DiffUtil
- Use lazy loading for heavy resources
- Profile and optimize memory usage
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: mindrally/android-development-64044918409.
Details
- Publisher
- mindrally
- Category
- Software Development › Mobile apps
- License
- Apache-2.0
- Updated
- 2026-10-08
References
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