Jonathan Lalou's Blog

Lecturer

Eric Cochran is an Android developer at Pinterest, focusing on performance across the app stack. He contributes to open-source projects, notably the Moshi JSON library. Relevant links: Pinterest Engineering Blog (publications); LinkedIn Profile (professional page).

Abstract

This article analyzes Eric Cochran’s exploration of Kotlin Serialization for multiplatform projects, emphasizing its role in enhancing code reuse across platforms. Set in the context of Pinterest’s performance-driven Android development, it examines methodologies for integrating serialization with data formats and frameworks. The analysis highlights innovations in type safety and performance, with implications for cross-platform scalability and library evolution.

Introduction and Context

Eric Cochran presented at KotlinConf 2018, focusing on Kotlin Serialization’s potential to unify code in multiplatform environments. As an Android developer at Pinterest, Cochran’s work on serialization formats like Moshi informed his advocacy for Kotlin’s experimental library. The context is the growing need for shared logic in apps targeting JVM, JS, and Native, where serialization ensures seamless data handling across diverse runtimes.

Methodological Approaches to Serialization

Cochran outlined Kotlin Serialization’s setup: Annotate data classes with @Serializable to generate compile-time adapters, supporting JSON, Protobuf, and CBOR. Integration with frameworks like OkHttp or Ktor involves custom serializers for complex types. He demonstrated parsing dynamic JSON structures, emphasizing compile-time safety over Moshi’s runtime reflection. Performance optimizations included minimizing allocations and leveraging inline classes. Cochran compared Moshi’s factory-based API, noting its JVM-centric limitations versus Kotlin Serialization’s multiplatform readiness.

Analysis of Innovations and Features

Kotlin Serialization innovates with compile-time code generation, avoiding reflection’s overhead, unlike Moshi’s Java type reliance. It supports multiple formats, enhancing flexibility compared to JSON-centric libraries. Inline classes reduce boxing, boosting performance. Limitations include poor dynamic type handling and manual serializer implementation for custom cases. Compared to Moshi, it offers broader platform support but lacks mature metadata APIs.

Implications and Consequences

The library implies greater code sharing in multiplatform apps, reducing duplication and maintenance. Its performance focus suits high-throughput systems like Pinterest’s. Consequences include a shift toward compile-time solutions, though experimental status requires caution. Future integration with Okio’s multiplatform efforts could resolve reflection issues, broadening adoption.

Conclusion

Cochran’s insights position Kotlin Serialization as a cornerstone for multiplatform data handling, offering a performant, type-safe alternative that promises to reshape cross-platform development.

Links

• Lecture video: https://www.youtube.com/watch?v=p8Wt_atMA50
• Lecturer’s X/Twitter: @ericcochran
• Lecturer’s LinkedIn: Eric Cochran
• Organization’s X/Twitter: @PinterestEng
• Organization’s LinkedIn: Pinterest