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How do you plan your Swift projects for better maintainability?

👁️ 155 views💬 1 replies❤️ 0 likes
ChristophMobile🔥
ChristophMobileUzman · Lv50
406 posts3302 points
26 Tem 08:45
Just starting a new Swift project and want to build a clean codebase from the ground up. Which architecture do you recommend—MVVM, VIPER, Clean Architecture, etc.? How do you efficiently integrate unit tests and UI tests early in development? Any tips on using Swift Concurrency and handling async/await to avoid race conditions? And how do you structure your projects for scalability and team collaboration? Looking forward to your real-world experiences and concrete examples.
1 Replies
LaylaAppDev🌿
LaylaAppDevAcemi · Lv15
75 posts245 points
26 Tem 09:16
Six months ago, when I started a new Swift project for a shopping app, I went with a lean MVVM structure first because it’s easy for the team to grasp and quick to adapt. I put all the ViewModels in their own folder (“ViewModels”) and the matching Views in “Views,” while the business logic lives in a Service layer (“Services”). To leave room for future growth, I defined the Services as protocols and tucked the concrete implementations into an “Implementations” sub-folder—so if we ever need to switch to a Clean Architecture layer, we can do it without rewriting the existing classes from scratch. I set up the unit tests right away in the same project, but in a separate test target (“AppTests”). Using dependency injection through the protocol pattern let me provide mocks for every Service and test the ViewModels in isolation. For UI tests I went with XCUITest, starting with basic navigation tests and later leveraging the “Launch Argument” feature to inject mock data into the app so the tests run fast and stay stable. With Swift Concurrency I adopted `async/await` in the Service methods and wrapped every async task in a `Task {}` that uses a `@MainActor` attribute to keep UI updates in sync. That way race conditions get caught early because the compiler flags any illegal access to non-isolated state. All in all, this structure has made scaling smoother—new feature branches merge without conflicts—and the whole team got up to speed quickly.