Kotlin Multiplatform: Stable for All Platforms

JetBrains officially declared Kotlin Multiplatform (KMP) stable for production use in late 2023. Since then, the ecosystem has expanded rapidly: Google announced official KMP support in May 2024, and developer adoption more than doubled from 7% in 2024 to 18% in 2025, according to Developer Ecosystem surveys.

#What Is Kotlin Multiplatform?

Kotlin Multiplatform enables sharing business logic across multiple platforms without sacrificing access to platform-specific features. Key characteristics:

• Shared code for Android, iOS, web, and server within a single Kotlin project
• Platform-specific implementations via the expect/actual mechanism
• Full interoperability with existing native APIs and frameworks
• Compose Multiplatform for cross-platform UI, officially stable for iOS since version 1.8.0

Companies such as Shopify, Forbes, and Zuercher Kantonalbank already use KMP in production. Over 50,000 organizations utilize the framework worldwide.

#Architecture and Use Cases

KMP architecture is built around a common module containing platform-independent code, and platform-specific modules for Android, iOS, or other targets. The expect/actual pattern resolves platform differences at the language level:

// commonMain
expect class PlatformInfo() {
    val name: String
    val version: String
}

// androidMain
actual class PlatformInfo actual constructor() {
    actual val name: String = "Android"
    actual val version: String = Build.VERSION.RELEASE
}

// iosMain
actual class PlatformInfo actual constructor() {
    actual val name: String = "iOS"
    actual val version: String = UIDevice.currentDevice.systemVersion
}

Typical use cases include sharing networking layers, data models, and business logic. Google has already released Jetpack libraries such as Room, DataStore, and ViewModel with KMP support.

#Why This Matters

With stable backing from both JetBrains and Google, Kotlin Multiplatform has reached a critical level of maturity. Teams can now build cross-platform projects with a single technology stack without compromising native performance or platform-specific capabilities. Eliminating redundant codebases reduces maintenance overhead and significantly accelerates time-to-market for new features.