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WeAreDevelopers LIVE • Jun 12, 2020

Kotlin Multiplatform - True power of native code reuse

Petar Marijanović

Stop trading native performance for single-codebase productivity. Learn how to conquer strict memory constraints and share pure business logic across platforms using Kotlin Multiplatform.

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#1 about 3 min

Professional background and early cross-platform mobile experiences

Past experiences with Android development and early cross-platform frameworks highlight the ongoing search for an ideal mobile codebase strategy.

#2 about 3 min

Core principles and benefits of multi-platform development

The vision of writing code once helps teams apply the DRY principle and maintain a single set of bugs across architectures.

#3 about 3 min

Drawbacks of existing cross-platform mobile frameworks

Existing cross-platform solutions often suffer from lower performance, delayed feature adoption, and complicated native bridging setups.

#4 about 4 min

Understanding Kotlin Multiplatform and its compiler targets

Leveraging Kotlin's ability to compile down to JVM, Native, and JavaScript targets enables shared business logic without abandoning native practices.

#5 about 5 min

Solving cross-platform drawbacks with Kotlin Multiplatform

Resolving traditional multi-platform performance issues involves native compilation, seamless interface communication, and selective code sharing.

#6 about 3 min

Planning a production application with Kotlin Multiplatform

Creating a robust full-stack Kotlin backend streamlines the transition from a simple proof of concept to a unified production environment.

#7 about 5 min

Implementing clean architecture with limited code sharing

Deploying a reactive clean architecture enables developers to share pure functions and business logic while keeping native frameworks independent.

#8 about 5 min

Technical failures with memory management and concurrency

Unexpected deadlocks and crashes often stem from conflicting behaviors between Kotlin JVM's relaxed memory model and Kotlin Native's strict concurrency rules.

#9 about 6 min

Rethinking the architecture to maximize logic sharing

Redesigning the application environment maximizes code reuse by deliberately minimizing execution transfers between the shared central logic and native layers.

#10 about 4 min

Key takeaways and future Kotlin Multiplatform improvements

Mastering native memory management principles empowers engineering teams to safely implement dependency injection configurations and thread-bound object scoping.

Matching moments

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Developing front-end client applications using Kotlin Multiplatform libraries

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