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Swift’s powerful type system empowers us to create semantically explicit and safe data models. Yet when we move to SwiftData or Core Data, the constraints of their underlying storage mechanisms often force us to compromise on type expressiveness. This article explores how, within the restrictions of persistence layers, we can leverage ingenious type wrappers and conversions to build data models that are simultaneously Type-safe, semantically clear, and highly efficient.

With rapid advancements in AI, it appears that the era of low-code or even no-code development is imminent. However, over the past year, rather than diminishing, various tools for professional developers have emerged continually. Can Xcode still capture developers' enthusiasm? What changes does it need to stay competitive and relevant? In this article, I will outline several key improvements I hope to see in Xcode.

With the official release of Swift 6.1, SwiftWasm has also undergone a major upgrade. This milestone update marks the first time SwiftWasm has achieved a build entirely based on the official Swift open-source toolchain—leaving behind the era of custom patches. This change not only significantly simplifies the installation process for developers and greatly reduces the consumption of system storage, but more importantly, the genuine build method drastically lowers platform maintenance costs and injects new vitality into the Swift ecosystem. In this article, we will explore how to build WebAssembly applications using Swift, showcasing the endless possibilities of Swift's cross-platform development.

Overusing SwiftUI’s dismiss can harm app stability and maintainability. Instead, manage view dismissal through Binding, functions, or custom environment values to ensure clear, testable, and predictable UI behavior. This state-driven approach helps avoid hidden performance issues and builds a more robust architecture.

SwiftUI’s Environment is a powerful and elegant mechanism for dependency injection, and almost every SwiftUI developer encounters and uses it in daily development. Not only does it simplify data transfer between views, it also opens up greater possibilities for application architecture design. In this article, we will set aside specific implementation details and instead focus on the role and boundaries of Environment within an architecture, exploring some often-overlooked yet crucial design ideas and practical experiences.

In the Internet age, developers increasingly interact with network data. Just as we rely on the debugging features of our IDEs to optimize our code, network debugging tools have become indispensable assistants for quickly, efficiently learning, researching, and analyzing network data. This article explains how to use Proxyman to capture the network request information of an iPhone app and simulate server responses by providing mock data. This allows you to test and develop applications without relying on a real server.

This article aims to serve as a guide for developers interested in SwiftData, helping you understand its strengths and limitations so you can make informed decisions based on your project needs. Whether you’re considering adopting SwiftData in a new project or planning a migration from another persistence solution, the following content will provide valuable insights to support your decision-making process.

The Observation framework has brought native property-level observation to Swift, effectively preventing unnecessary view updates in SwiftUI triggered by unrelated property changes, thereby enhancing application performance. However, since @State does not offer a lazy initialization constructor like @StateObject, it may lead to performance degradation or even logical issues due to the premature construction of instances in certain scenarios. This article explores how to implement a lazy initialization solution for Observable instances using @State.