kotlin-patterns
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question.
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SKILL.md
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 ?: "unknown@example.com"
}
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 $id not found")
}
// Good: Safe calls and Elvis operator
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user?.email ?: "unknown@example.com"
}
// Bad: Force-unwrapping nullable types
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user!!.email // Throws NPE if null
}
2. Immutability by Default
Prefer val over var, immutable collections over mutable ones.
// Good: Immutable data
data class User(
val id: String,
val name: String,
val email: String,
)
// Good: Transform with copy()
fun updateEmail(user: User, newEmail: String): User =
user.copy(email = newEmail)
// Good: Immutable collections
val users: List<User> = listOf(user1, user2)
val filtered = users.filter { it.email.isNotBlank() }
// Bad: Mutable state
var currentUser: User? = null // Avoid mutable global state
val mutableUsers = mutableListOf<User>() // Avoid unless truly needed
3. Expression Bodies and Single-Expression Functions
Use expression bodies for concise, readable functions.
// Good: Expression body
fun isAdult(age: Int): Boolean = age >= 18
fun formatFullName(first: String, last: String): String =
"$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 {
require(value.isNotBlank()) { "UserId cannot be blank" }
}
}
@JvmInline
value class Email(val value: String) {
init {
require('@' in value) { "Invalid email: $value" }
}
}
fun getUser(id: UserId): User = userRepository.findById(id)
Sealed Classes and Interfaces
Modeling Restricted Hierarchies
// Good: Sealed class for exhaustive when
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>()
}
fun <T> Result<T>.getOrNull(): T? = when (this) {
is Result.Success -> data
is Result.Failure -> null
is Result.Loading -> null
}
fun <T> Result<T>.getOrThrow(): T = when (this) {
is Result.Success -> data
is Result.Failure -> throw error.toException()
is Result.Loading -> throw IllegalStateException("Still loading")
}
Sealed Interfaces for API Responses
sealed interface ApiError {
val message: String
data class NotFound(override val message: String) : ApiError
data class Unauthorized(override val message: String) : ApiError
data class Validation(
override val message: String,
val field: String,
) : ApiError
data class Internal(
override val message: String,
val cause: Throwable? = null,
) : ApiError
}
fun ApiError.toStatusCode(): Int = when (this) {
is ApiError.NotFound -> 404
is ApiError.Unauthorized -> 401
is ApiError.Validation -> 422
is ApiError.Internal -> 500
}
Scope Functions
When to Use Each
// let: Transform nullable or scoped result
val length: Int? = name?.let { it.trim().length }
// apply: Configure an object (returns the object)
val user = User().apply {
name = "Alice"
email = "alice@example.com"
}
// also: Side effects (returns the object)
val user = createUser(request).also { logger.info("Created user: ${it.id}") }
// run: Execute a block with receiver (returns result)
val result = connection.run {
prepareStatement(sql)
executeQuery()
}
// with: Non-extension form of run
val csv = with(StringBuilder()) {
appendLine("name,email")
users.forEach { appendLine("${it.name},${it.email}") }
toString()
}
Anti-Patterns
// Bad: Nesting scope functions
user?.let { u ->
u.address?.let { addr ->
addr.city?.let { city ->
println(city) // Hard to read
}
}
}
// Good: Chain safe calls instead
val city = user?.address?.city
city?.let { println(it) }
Extension Functions
Adding Functionality Without Inheritance
// Good: Domain-specific extensions
fun String.toSlug(): String =
lowercase()
.replace(Regex("[^a-z0-9\\s-]"), "")
.replace(Regex("\\s+"), "-")
.trim('-')
fun Instant.toLocalDate(zone: ZoneId = ZoneId.systemDefault()): LocalDate =
atZone(zone).toLocalDate()
// Good: Collection extensions
fun <T> List<T>.second(): T = this[1]
fun <T> List<T>.secondOrNull(): T? = getOrNull(1)
// Good: Scoped extensions (not polluting global namespace)
class UserService {
private fun User.isActive(): Boolean =
status == Status.ACTIVE && lastLogin.isAfter(Instant.now().minus(30, ChronoUnit.DAYS))
fun getActiveUsers(): List<User> = userRepository.findAll().filter { it.isActive() }
}
Coroutines
Structured Concurrency
// Good: Structured concurrency with coroutineScope
suspend fun fetchUserWithPosts(userId: String): UserProfile =
coroutineScope {
val userDeferred = async { userService.getUser(userId) }
val postsDeferred = async { postService.getUserPosts(userId) }
UserProfile(
user = userDeferred.await(),
posts = postsDeferred.await(),
)
}
// Good: supervisorScope when children can fail independently
suspend fun fetchDashboard(userId: String): Dashboard =
supervisorScope {
val user = async { userService.getUser(userId) }
val notifications = async { notificationService.getRecent(userId) }
val recommendations = async { recommendationService.getFor(userId) }
Dashboard(
user = user.await(),
notifications = try {
notifications.await()
} catch (e: CancellationException) {
throw e
} catch (e: Exception) {
emptyList()
},
recommendations = try {
recommendations.await()
} catch (e: CancellationException) {
throw e
} catch (e: Exception) {
emptyList()
},
)
}
Flow for Reactive Streams
// Good: Cold flow with proper error handling
fun observeUsers(): Flow<List<User>> = flow {
while (currentCoroutineContext().isActive) {
val users = userRepository.findAll()
emit(users)
delay(5.seconds)
}
}.catch { e ->
logger.error("Error observing users", e)
emit(emptyList())
}
// Good: Flow operators
fun searchUsers(query: Flow<String>): Flow<List<User>> =
query
.debounce(300.milliseconds)
.distinctUntilChanged()
.filter { it.length >= 2 }
.mapLatest { q -> userRepository.search(q) }
.catch { emit(emptyList()) }
Cancellation and Cleanup
// Good: Respect cancellation
suspend fun processItems(items: List<Item>) {
items.forEach { item ->
ensureActive() // Check cancellation before expensive work
processItem(item)
}
}
// Good: Cleanup with try/finally
suspend fun acquireAndProcess() {
val resource = acquireResource()
try {
resource.process()
} finally {
withContext(NonCancellable) {
resource.release() // Always release, even on cancellation
}
}
}
Delegation
Property Delegation
// Lazy initialization
val expensiveData: List<User> by lazy {
userRepository.findAll()
}
// Observable property
var name: String by Delegates.observable("initial") { _, old, new ->
logger.info("Name changed from '$old' to '$new'")
}
// Map-backed properties
class Config(private val map: Map<String, Any?>) {
val host: String by map
val port: Int by map
val debug: Boolean by map
}
val config = Config(mapOf("host" to "localhost", "port" to 8080, "debug" to true))
Interface Delegation
// Good: Delegate interface implementation
class LoggingUserRepository(
private val delegate: UserRepository,
private val logger: Logger,
) : UserRepository by delegate {
// Only override what you need to add logging to
override suspend fun findById(id: String): User? {
logger.info("Finding user by id: $id")
return delegate.findById(id).also {
logger.info("Found user: ${it?.name ?: "null"}")
}
}
}
DSL Builders
Type-Safe Builders
// Good: DSL with @DslMarker
@DslMarker
annotation class HtmlDsl
@HtmlDsl
class HTML {
private val children = mutableListOf<Element>()
fun head(init: Head.() -> Unit) {
children += Head().apply(init)
}
fun body(init: Body.() -> Unit) {
children += Body().apply(init)
}
override fun toString(): String = children.joinToString("\n")
}
fun html(init: HTML.() -> Unit): HTML = HTML().apply(init)
// Usage
val page = html {
head { title("My Page") }
body {
h1("Welcome")
p("Hello, World!")
}
}
Configuration DSL
data class ServerConfig(
val host: String = "0.0.0.0",
val port: Int = 8080,
val ssl: SslConfig? = null,
val database: DatabaseConfig? = null,
)
data class SslConfig(val certPath: String, val keyPath: String)
data class DatabaseConfig(val url: String, val maxPoolSize: Int = 10)
class ServerConfigBuilder {
var host: String = "0.0.0.0"
var port: Int = 8080
private var ssl: SslConfig? = null
private var database: DatabaseConfig? = null
fun ssl(certPath: String, keyPath: String) {
ssl = SslConfig(certPath, keyPath)
}
fun database(url: String, maxPoolSize: Int = 10) {
database = DatabaseConfig(url, maxPoolSize)
}
fun build(): ServerConfig = ServerConfig(host, port, ssl, database)
}
fun serverConfig(init: ServerConfigBuilder.() -> Unit): ServerConfig =
ServerConfigBuilder().apply(init).build()
// Usage
val config = serverConfig {
host = "0.0.0.0"
port = 443
ssl("/certs/cert.pem", "/certs/key.pem")
database("jdbc:postgresql://localhost:5432/mydb", maxPoolSize = 20)
}
Sequences for Lazy Evaluation
// Good: Use sequences for large collections with multiple operations
val result = users.asSequence()
.filter { it.isActive }
.map { it.email }
.filter { it.endsWith("@company.com") }
.take(10)
.toList()
// Good: Generate infinite sequences
val fibonacci: Sequence<Long> = sequence {
var a = 0L
var b = 1L
while (true) {
yield(a)
val next = a + b
a = b
b = next
}
}
val first20 = fibonacci.take(20).toList()
Gradle Kotlin DSL
build.gradle.kts Configuration
// Check for latest versions: https://kotlinlang.org/docs/releases.html
plugins {
kotlin("jvm") version "2.3.10"
kotlin("plugin.serialization") version "2.3.10"
id("io.ktor.plugin") version "3.4.0"
id("org.jetbrains.kotlinx.kover") version "0.9.7"
id("io.gitlab.arturbosch.detekt") version "1.23.8"
}
group = "com.example"
version = "1.0.0"
kotlin {
jvmToolchain(21)
}
dependencies {
// Ktor
implementation("io.ktor:ktor-server-core:3.4.0")
implementation("io.ktor:ktor-server-netty:3.4.0")
implementation("io.ktor:ktor-server-content-negotiation:3.4.0")
implementation("io.ktor:ktor-serialization-kotlinx-json:3.4.0")
// Exposed
implementation("org.jetbrains.exposed:exposed-core:1.0.0")
implementation("org.jetbrains.exposed:exposed-dao:1.0.0")
implementation("org.jetbrains.exposed:exposed-jdbc:1.0.0")
implementation("org.jetbrains.exposed:exposed-kotlin-datetime:1.0.0")
// Koin
implementation("io.insert-koin:koin-ktor:4.2.0")
// Coroutines
implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.10.2")
// Testing
testImplementation("io.kotest:kotest-runner-junit5:6.1.4")
testImplementation("io.kotest:kotest-assertions-core:6.1.4")
testImplementation("io.kotest:kotest-property:6.1.4")
testImplementation("io.mockk:mockk:1.14.9")
testImplementation("io.ktor:ktor-server-test-host:3.4.0")
testImplementation("org.jetbrains.kotlinx:kotlinx-coroutines-test:1.10.2")
}
tasks.withType<Test> {
useJUnitPlatform()
}
detekt {
config.setFrom(files("config/detekt/detekt.yml"))
buildUponDefaultConfig = true
}
Error Handling Patterns
Result Type for Domain Operations
// Good: Use Kotlin's Result or a custom sealed class
suspend fun createUser(request: CreateUserRequest): Result<User> = runCatching {
require(request.name.isNotBlank()) { "Name cannot be blank" }
require('@' in request.email) { "Invalid email format" }
val user = User(
id = UserId(UUID.randomUUID().toString()),
name = request.name,
email = Email(request.email),
)
userRepository.save(user)
user
}
// Good: Chain results
val displayName = createUser(request)
.map { it.name }
.getOrElse { "Unknown" }
require, check, error
// Good: Preconditions with clear messages
fun withdraw(account: Account, amount: Money): Account {
require(amount.value > 0) { "Amount must be positive: $amount" }
check(account.balance >= amount) { "Insufficient balance: ${account.balance} < $amount" }
return account.copy(balance = account.balance - amount)
}
Collection Operations
Idiomatic Collection Processing
// Good: Chained operations
val activeAdminEmails: List<String> = users
.filter { it.role == Role.ADMIN && it.isActive }
.sortedBy { it.name }
.map { it.email }
// Good: Grouping and aggregation
val usersByRole: Map<Role, List<User>> = users.groupBy { it.role }
val oldestByRole: Map<Role, User?> = users.groupBy { it.role }
.mapValues { (_, users) -> users.minByOrNull { it.createdAt } }
// Good: Associate for map creation
val usersById: Map<UserId, User> = users.associateBy { it.id }
// Good: Partition for splitting
val (active, inactive) = users.partition { it.isActive }
Quick Reference: Kotlin Idioms
| Idiom | Description |
|---|---|
val over var | Prefer immutable variables |
data class | For value objects with equals/hashCode/copy |
sealed class/interface | For restricted type hierarchies |
value class | For type-safe wrappers with zero overhead |
Expression when | Exhaustive pattern matching |
Safe call ?. | Null-safe member access |
Elvis ?: | Default value for nullables |
let/apply/also/run/with | Scope functions for clean code |
| Extension functions | Add behavior without inheritance |
copy() | Immutable updates on data classes |
require/check | Precondition assertions |
Coroutine async/await | Structured concurrent execution |
Flow | Cold reactive streams |
sequence | Lazy evaluation |
Delegation by | Reuse implementation without inheritance |
Anti-Patterns to Avoid
// Bad: Force-unwrapping nullable types
val name = user!!.name
// Bad: Platform type leakage from Java
fun getLength(s: String) = s.length // Safe
fun getLength(s: String?) = s?.length ?: 0 // Handle nulls from Java
// Bad: Mutable data classes
data class MutableUser(var name: String, var email: String)
// Bad: Using exceptions for control flow
try {
val user = findUser(id)
} catch (e: NotFoundException) {
// Don't use exceptions for expected cases
}
// Good: Use nullable return or Result
val user: User? = findUserOrNull(id)
// Bad: Ignoring coroutine scope
GlobalScope.launch { /* Avoid GlobalScope */ }
// Good: Use structured concurrency
coroutineScope {
launch { /* Properly scoped */ }
}
// Bad: Deeply nested scope functions
user?.let { u ->
u.address?.let { a ->
a.city?.let { c -> process(c) }
}
}
// Good: Direct null-safe chain
user?.address?.city?.let { process(it) }
Remember: Kotlin code should be concise but readable. Leverage the type system for safety, prefer immutability, and use coroutines for concurrency. When in doubt, let the compiler help you.
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