Kotlin Development Patterns

Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.

When to Use

• Writing new Kotlin code
• Reviewing Kotlin code
• Refactoring existing Kotlin code
• Designing Kotlin modules or libraries
• Configuring Gradle Kotlin DSL builds

How It Works

This skill enforces idiomatic Kotlin conventions across seven key areas: null safety using the type system and safe-call operators, immutability via val and copy() on data classes, sealed classes and interfaces for exhaustive type hierarchies, structured concurrency with coroutines and Flow, extension functions for adding behaviour without inheritance, type-safe DSL builders using @DslMarker and lambda receivers, and Gradle Kotlin DSL for build configuration.

Examples

Null safety with Elvis operator:

fun getUserEmail(userId: String): String {
    val user = userRepository.findById(userId)
    return user?.email ?: "[email protected]"
}

Sealed class for exhaustive results:

sealed class Result<out T> {
    data class Success<T>(val data: T) : Result<T>()
    data class Failure(val error: AppError) : Result<Nothing>()
    data object Loading : Result<Nothing>()
}

Structured concurrency with async/await:

suspend fun fetchUserWithPosts(userId: String): UserProfile =
    coroutineScope {
        val user = async { userService.getUser(userId) }
        val posts = async { postService.getUserPosts(userId) }
        UserProfile(user = user.await(), posts = posts.await())
    }

Core Principles

1. Null Safety

Kotlin's type system distinguishes nullable and non-nullable types. Leverage it fully.

// Good: Use non-nullable types by default
fun getUser(id: String): User {
    return userRepository.findById(id)
        ?: throw UserNotFoundException("User $id not found")
}

// Good: Safe calls and Elvis operator
fun getUserEmail(userId: String): String {
    val user = userRepository.findById(userId)
    return user?.email ?: "[email protected]"
}

// Bad: Force-unwrapping nullable types
fun getUserEmail(userId: String): String {
    val user = userRepository.findById(userId)
    return user!!.email // Throws NPE if null
}

2. Immutability by Default

Prefer val over var, immutable collections over mutable ones.

// Good: Immutable data
data class User(
    val id: String,
    val name: String,
    val email: String,
)

// Good: Transform with copy()
fun updateEmail(user: User, newEmail: String): User =
    user.copy(email = newEmail)

// Good: Immutable collections
val users: List<User> = listOf(user1, user2)
val filtered = users.filter { it.email.isNotBlank() }

// Bad: Mutable state
var currentUser: User? = null // Avoid mutable global state
val mutableUsers = mutableListOf<User>() // Avoid unless truly needed

3. Expression Bodies and Single-Expression Functions

Use expression bodies for concise, readable functions.

// Good: Expression body
fun isAdult(age: Int): Boolean = age >= 18

fun formatFullName(first: String, last: String): String =
    "$first $last".trim()

fun User.displayName(): String =
    name.ifBlank { email.substringBefore('@') }

// Good: When as expression
fun statusMessage(code: Int): String = when (code) {
    200 -> "OK"
    404 -> "Not Found"
    500 -> "Internal Server Error"
    else -> "Unknown status: $code"
}

// Bad: Unnecessary block body
fun isAdult(age: Int): Boolean {
    return age >= 18
}

4. Data Classes for Value Objects

Use data classes for types that primarily hold data.

// Good: Data class with copy, equals, hashCode, toString
data class CreateUserRequest(
    val name: String,
    val email: String,
    val role: Role = Role.USER,
)

// Good: Value class for type safety (zero overhead at runtime)
@JvmInline
value class UserId(val value: String) {
    init {

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