Kotlin Multiplatfom In Action

Editor's Notes

• #6: What is Kotlin mutliplatform? One of the goals for Kotlin is being able to compile to and run on all platforms. 3 compiler backends - Kotlin/JVM, Kotlin/JS, Kotlin/Native - This, together with tools that facilitate efficient code sharing and projects targeting multiple platforms - KMP We'll talk more about multiplatform, but first - WHY
• #8: DRY principle, avoid code duplication no need to write same code/logic for different platforms better productivity, more features, less bugs, reach more platforms
• #9: Crossplatform in native world IKEv2 lib - windows & windows mobile, android, Linux With rise of VMs and new languages, no common code could serve all platforms
• #10: Given proper architecture, sharing entire components can be relatively easy JVM servers can share business logic with Android apps All client apps share similar logic and features
• #11: Spotify client apps - while frontend/UI differs from platform to platform features and logic behind are mostly identical it's easy to see how sharing code across platforms can be really benefitial for various usecases
• #12: Mobile platforms share a lot in common Android & IOS apps tend to look similar, share identical features, same usacases, platforms have same capabilities and similar limitation app arhitectures are very similar if youre using some layered arhitecture like Clean arhitecure, your app might look like this Domain layer (business logic) is usually great candidate for sharing as it doesn't depend on frameworks and platform Data layer - works with identical data across platforms
• #13: performance tend to suffer,VM, interpreters, script languages inovation slows down as advancements on one platform cant be used in shared solutions UI is limited to shared features, not as good as native enitire app must be written in given framework changing framework requires entire app rewrite will that framework even exist in 5-10 years? if we run into an issue or framework lacks needed feature, project goes back to starting point
• #14: modern, industrial language similar to swift, easy for java devs to learn top tooling, great ecosystem and community write once, run native everywhere
• #15: doesn’t limit you to subset of all platforms native access to entire platform API from Kotlin each platform get native, optimized binary fix bug once, for all platforms interoperability
• #16: pick what you want to share, no need to decide on porting entire app pick easily shareable compoment, give it a try even if you don't want to continue using it, you have perfectly fine Android code low risk easy to adopt - easy to convince management - they care about risk
• #17: sharing UI - risky - doesn't feel like native Flutter/ReactNative App using Flutter is Flutter app, app using RN is RN app, app using KMP is just an app - you can add KMP library/module without affecting app structure/framework. You can add two, three. You can add KMP lib to Flutter or RN app. - new language, new tools, new libs - issues are localized in KMP - framework vs library
• #19: optional sharing - pick your adventure
• #20: who's using or supporting KMP
• #21: coroutines - great asynchronous programing ktor - Ktor is a framework for building asynchronous servers and clients you can build web servers with it and it also offers multiplatform network client you can use in your applications with ktor, you can write all your networking code once in common code and use that on all platforms serialization - offers reflection-less serialization of kotlin classes to JSON and binary formats uses a compiler plugin to generate code needed for serialization supports all platform - common code
• #22: SQLDelight - DB library. SQLDelight generates typesafe APIs from your SQL statements. It compile-time verifies your schema, statements, and migrations and provides IDE features like autocomplete and refactoring which make writing and maintaining SQL simple. Multiplatform library, write all your DB code once in common code and use on all platforms okio - modern I/O library, okhttp okhttp - esential HTTP library for andoird devs, some people may know it as retrofit, which builds upon it. Rewriten in Kotlin, we might get multiplatform release in the future Touchlab - active in K/N developement, stately - concurrency in K/N,
• #24: IDEA community edition - free Ultimate edition new project templates KMP templates - clone/fork from github write build script yourself
• #25: target - target is a part of the build that is responsible for building, testing, and packaging a complete piece of software for one of the platforms
• #27: current state of dependencies what if we wanted to add a server to the picture?
• #28: we can improve - Android & iOS are both clients are we'll probably need some client-specific code that we wont need on server - clients sourceSet Android & server both run on JVM - maybe we can put some common dependencies and utilities in jvm sourceSet
• #30: we added jvm target, with “server”sourceSet
• #36: -> concurrency
• #37: Traditionally languages allow (and promote) inherently unsafe concurrency Straighforward code is thread-unsafe by default Languages/runtime offer tools for handling concurrency However these tools haven't changed much since time of C - volatile & locks (synchronized) Languages do nothing to prevent or warn about issues, they are hard to detect Developers must find potential issues and implement safety themselves using given tools Overuse of misuse of concurrency tools lead to deadlocks Entire burden on devs There is no practically no guaranties of thread-safe code, testing just can’t reproduce some concurrency bugs and debugging doesn't help much Often these bugs leak into production In order to address this issue, Kotlin creators indroduced Saner concurrency
• #38: Automatic Reference Counting
• #40: freeze converts mutable state into immutable state, also all it's references, recursively Data can be manually detached from thread and passed to another one (memory leak) there's no synchronized/volatile, there's no need for them workers are threads that can execute tasks, execution returns future with task result atomic - way to bypass restrictions of memory model - they can be shared across threads although they hold mutable data