Digest of interesting materials for a mobile developer # 415 (October 11 – 17)
In this collection, iOS and Android app automation in Windows 11, Compose for Wear OS and Android basics on Kotlin, interface microanimation, Waxe meditation, Arduino rockets on a 3D printer, and much more!
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iOS
• How we automate iOS: setting up Gitlab CI + Fastlane + Firebase + ItunesConnect
• iOS. UI. Techniques. Part 2
• Apple is exploring health features for AirPods
• Apple asks to suspend the introduction of payments in the App Store
• Google ditches Material Design on iOS and reverts to UIKit
• Working with UISheetPresentationController
• 
Simplicity for your iOS apps
• IOS Modularization + Github Actions
• How to use Xcode build configurations
• Six (or so) options for dependency injection in Swift
• The simplest network layer in iOS
• Implementing the Multicast Delegate Pattern in Swift 5
• What is Content Hugging and Compression Resistance in Swift
• How to integrate Siri Shortcuts and create your own intents
• Improving the iPad application
• 
Xcodes.app: Switch between Xcode
• RealFlags: easy handling of feature flags
Android
• How do Android apps work in Windows 11? Parsing
• Kotlin Android Fundamentals Completed
• The Developer Preview of Compose for Wear OS Released
• Anton Arkhipov (Kotlin Developer Aadvocate) on version 1.6, the future of Kotlin and work at JetBrains
• Composable Contexts architecture
• Kotlin Flow in ViewModels: everything is complicated
• 50 best interview questions for Android developers
• Special effects for images using the CameraX Extensions API
• Android Parcelable in Kotlin Multiplatform
• Google SignIn on Compose
• Square Logcat: More efficient logging library than Timber
• Square Logcat: Simple Logging for Android
• Page-turning for Android: page-turning for Android
Development of
• Trainee Vasya and his experience in developing a new API
• Optimizing Unity Games: A Proven Plan
• Evolution of the approach to manufacturing at AGIMA over 15 years
• Text Resizing – Flexible Components for Improved Accessibility: The PayPal Experience
• Releases without burnout and overtime: how we changed the processes of working on major game features
• TOP-5 questions of the technical director about automation
• Effective coding habits you can start developing right now
• PWA: isn’t Chrome the only one?
• Podlodka # 237: how to set organizational goals
• App design examples for inspiration # 60
• Karat, Interviewing Cloud for Developers, Raises $ 110M
• The Ultimate DevOps Bundle Sale in the Humble Bundle
• Python became the most popular programming language in the TIOBE index
• Sberbank opens registration for the tournament for HTML5 game developers
• Apps with the best examples of onboarding
• We developed a corporate dialer, but did not launch it on the market
• Microanimation in the interface
• Android TV app design in four insights. Haier case
• 20 Things I Learned in 20 Years as a Software Engineer
• Why Kotlin is a smart programming language for any environment
• Disabled buttons in the user interface
• Decoding product management – a matrix of skills for growing, learning, evaluating and hiring world-class managers
• MVVM in Flutter using providers
• Case: Amazon Food design
• Flutter + Dio Framework + Best Practices
• I love clean code
• 3 books every programmer should read
• Design system automation
• How to measure the effectiveness of engineering teams
• Doom Checkboxes: Doom from checkboxes
Analytics, marketing and monetization
• Tracker beacons for mobile applications or how to create a new communication channel with a permanent audience of the application
• Papukaya Studios uses Supercell’s money to create games for non-gamers
• ironSource buys Tapjoy
• Growth of Mobile Games in PocketGamer.biz Developer Survey 2021
• After purchasing MoPub, AppLovin will overtake Facebook
• Waze adds Headspace experience
• Most Popular Apps in September 2021
• Homa Games receives $ 50 million for game publishing
• Welcome: city travel assistant
AI, Devices, IoT
• Arduino rocket on a 3D printer – learning to land rockets at home
• Neural networks for Natural Language Inference: logical inferences in Russian
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