Swift methods to Kotlin. By the end, you’ll have a complete CRUD system where every change persists immediately to disk. Understanding the CRUD Pattern CRUD is a standard acronym in software development representing the four fundamental operations for managing data: Create: Add new records. Read: Retrieve existing records. Update…

…learn: How Swift’s Codable protocol enables automatic JSON serialization File I/O with FileManager across iOS and Android platforms The Result type pattern for explicit, type-safe error handling StateFlow synchronization between Swift and Kotlin You’ll get started by understanding how JSON serialization works. Understanding JSON Serialization with Codable…

Improving TaskRepository.addTask() Now that you’ve implemented the updateTask() operation, you’ll improve addTask() for creating new tasks. It follows the same photo-handling pattern you just learned but is simpler because you’re creating the task from scratch, there’s no existing fields to preserve. The key difference…

Based Persistence: JSON for structured data and separate binary files for photos provides a simple, maintainable storage solution for small to medium datasets. CRUD Pattern: The Create, Read, Update, Delete pattern is fundamental to data management and applies to databases, APIs, and any data store. Repository Pattern: Acting…

…array. getTaskCount: Returns count as Int64 (better for JNI interop than Int). clearTasks: Removes all tasks from the array. Key concepts: Singleton pattern: One shared instance accessed via TaskManager.shared, and a private initializer. Guard statements: Early exit pattern for validation. @discardableResult: Allows calling addTask without using the return value. Int64…

…concepts from this lesson with complete, tested code that you can reference. You’ve now built real-world Swift-Kotlin integration! The patterns you’ve learned—binary data marshaling, JNI boundary crossing, and platform-specific API handling—are fundamental skills for building sophisticated hybrid applications. What’s Next Your Task…

Lesson 1: Swift-Java interop basics, building simple computations that bridge Swift and Kotlin. Lesson 2: Camera integration and image processing with SwiftUI-like patterns, capturing photos and applying filters. These lessons taught you how to write Swift code that runs on Android and how to connect it to Kotlin…

…cross-platform file handling, and add comprehensive testing to ensure your hybrid architecture remains reliable. You’ll also explore more advanced Swift-Java interoperability patterns and discover how to structure larger hybrid applications. For now, experiment with your photo-enabled Task Manager. Try capturing different types of photos, applying filter…

…applyBlurFilter, and adjustBrightness. Each filter receives raw pixel data as a Data object, along with width and height dimensions. The filters follow a common pattern: Validate input dimensions. Copy Data to mutable byte array. Process pixels (the algorithm). Return processed Data. Let’s implement each filter. Implementing the Grayscale Filter…

Better error handling: Swift’s throws mechanism makes error paths explicit Value semantics: Structs and enums provide predictable, safe data handling Modern language features: Pattern matching, protocol-oriented programming, and powerful generics Code sharing potential: Business logic written in Swift can potentially be shared with iOS apps With this knowledge…

…learned how swift-java and JExtractSwiftPlugin eliminate manual JNI work, making it practical to leverage Swift’s strengths in Android development. This pattern opens up new possibilities: sharing business logic between iOS and Android, using Swift’s powerful type system for complex validation, and leveraging Swift’s safety features…