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SwiftUI in 2022
5 projects | news.ycombinator.com | 25 May 2022
One point that's not being discussed enough -- using SwiftUI (since it's heavily value-typed / struct-based) prevents a whole host of problems around retain cycles, typically the bugbear of iOS dev. I recently built an iOS app from scratch with recent grads with zero Swift experience (but had done React).
It was ~2mo before they even had to learn what a retain cycle was, and that was from using UIKit.
Of course you still eventually see this if / when you use `@ObservedObjects` and their implementation, but in our case we were also using https://github.com/pointfreeco/swift-composable-architecture which hides this away as well.
Is MVVM the only architecture you’ve used when developing iOS app?
3 projects | reddit.com/r/swift | 22 May 2022
There’s a nice open source swift library by the pointfree guys, called The Composable Architecture (TCA). Check it out 🙂
I would like your feedback on my attempt to improve the MVVM pattern.
1 project | reddit.com/r/iOSProgramming | 18 Apr 2022
It looks like you reinvented the Reducer pattern, have you had a look at Composable Architecture?
Ask HN: Book Recommendation for macOS Development
1 project | news.ycombinator.com | 21 Mar 2022
[Books by Objc.io](https://www.objc.io/books/) are great. Also whilst not a book, [Composable Architecture](https://github.com/pointfreeco/swift-composable-architecture) seems like a nice way to develop cross platform (iOS/macOS) apps.
iOS development best practices in 2022
1 project | reddit.com/r/iOSProgramming | 10 Mar 2022
Regarding MVVM, since your list is very SwiftUI-forward (which is great) I’m surprised that the Composable Architecture pattern was not mentioned. (https://github.com/pointfreeco/swift-composable-architecture)
Best architecture for iOS data-centric app
4 projects | reddit.com/r/swift | 13 Feb 2022
I use a variation on The Binder Architecture. Another one I like a lot and that works well with SwiftUI is The Composable Architecture.
Learn from complex projects
4 projects | reddit.com/r/swift | 4 Feb 2022
Check out pointfree’s composable architecture series GitHub repository
Looking for SwiftUI templates/architectures
2 projects | reddit.com/r/SwiftUI | 27 Dec 2021
The Composable Architecture is a must-have. It provides the most complete and battle-hardened architecture - check out the examples in the repo, or check out their videos on it called A tour of The Composable Architecture, which should give you a good overview of what it looks like and its benefits.
Has anyone here had a look over this library (Firestarter)?
2 projects | reddit.com/r/iOSProgramming | 18 Dec 2021
Do take a look at https://github.com/pointfreeco/swift-composable-architecture and their videos though2 projects | reddit.com/r/iOSProgramming | 18 Dec 2021
Give a try? Why not? Maybe you will like this as well: https://github.com/pointfreeco/swift-composable-architecture
What are some alternatives?
Clean Architecture for SwiftUI + Combine - SwiftUI sample app using Clean Architecture. Examples of working with CoreData persistence, networking, dependency injection, unit testing, and more.
tca-swiftui-navigation-demo - Demo project that shows how to implement navigation in SwiftUI iOS application using Swift Composable Architecture
iOS-Viper-Architecture - This repository contains a detailed sample app that implements VIPER architecture in iOS using libraries and frameworks like Alamofire, AlamofireImage, PKHUD, CoreData etc.
GRDB.swift - A toolkit for SQLite databases, with a focus on application development
Tempura - A holistic approach to iOS development, inspired by Redux and MVVM
VIPER Module Generator - A Swift 4.2 VIPER Module Boilerplate Generator with predefined functions and a BaseViewProtocol.
Kingfisher - A lightweight, pure-Swift library for downloading and caching images from the web.
Spin - Spin aims to provide a versatile Feedback Loop implementation working with the three main reactive frameworks available in the Swift community (RxSwift, ReactiveSwift and Combine)
swift-parsing - A library for turning nebulous data into well-structured data, with a focus on composition, performance, generality, and ergonomics.