IOS
317 bites tagged IOS — interview questions with model answers, and 60-second explainers.
Carthage: A Decentralized iOS Dependency Manager
Carthage is a dependency manager that prioritizes developer control. It compiles dependencies into binary frameworks but leaves final integration to you, avoiding automatic changes to your Xcode project.
Framework Target
A Framework target in Xcode builds a reusable bundle of compiled code and public interfaces, separate from an app target, so an app, a widget, or an extension can share the same code without duplicating it.
Xcode Workspaces: Managing Multiple Related Projects
An Xcode Workspace is a container for multiple related projects, letting them share code and resources. Use it when building an app with its own frameworks or when managing dependencies like CocoaPods.
CocoaPods: Managing Dependencies in Apple Projects
CocoaPods manages third-party libraries in your Swift/Objective-C projects. You list dependencies in a `Podfile`, run `pod install`, and it handles the rest. The biggest footgun: always open the `.xcworkspace`, not the `.xcodeproj` file after installing.
Snapshot Testing: Catch Unintended UI Changes
Snapshot testing compares your UI to a saved 'golden' image, failing if pixels differ. It's a visual diff for your views, catching unintended regressions in layout or style. The main footgun is forgetting to re-record snapshots after intentional UI changes.
XCUITest Page Object Model: Tame Your UI Tests
The Page Object Model treats each app screen as an object, separating test logic from UI interaction. In XCUITest, this creates stable tests for complex apps. The biggest footgun is forgetting synchronization—always wait for views to load before interacting.
measure: Baseline and Compare Code Performance
`measure` in XCTest establishes a performance baseline for a block of code and fails tests if it regresses. It tracks critical algorithm speed, running the code ten times for a stable average. The footgun is ignoring the baseline: you must set it first.
Xcode Code Coverage: Measuring Test Effectiveness
Code coverage isn't a grade, but a map of untested code. Use it in Xcode to find gaps in your logic before shipping. The footgun: high coverage doesn't mean your tests are good, just that the lines were executed, potentially missing key assertions.
Testing Async Code with XCTestExpectation
XCTestExpectation is a stopwatch for your tests, pausing them to wait for asynchronous work like a network call to finish. Use it for testing code with completion handlers. The footgun is forgetting to `fulfill()` the expectation, causing a timeout failure.
XCUIElementQuery: The Blueprint for Finding UI Elements
An XCUIElementQuery is a recipe for finding UI, not the element itself. It describes a search that runs only when you interact with the result. Use it in XCUITest to locate views for automated tests. The footgun: thinking a query finds an element on creation.
XCUITest: Automating Your App's User Interface
XCUITest is like a robot user for your app, tapping buttons and verifying what's on screen. It automates testing of critical flows like login or checkout to prevent regressions.
Mocking: Faking Dependencies in Unit Tests
A mock is a stunt double for a real object in your unit tests, letting you control its behavior. Use it to fake dependencies like network clients for fast, predictable tests. The footgun: over-mocking can create tests that pass but miss real integration bugs.
Test-Driven Development: Write the Test First
TDD flips the script: write a failing test before the feature code, forcing a testable design. It's ideal for new Swift components with clear requirements, ensuring every line of code serves a purpose.
XCTAssert: The Pass/Fail Gatekeeper of Your Tests
XCTAssert functions are the gatekeepers of your tests, asserting if code behaves as expected. Use them to validate conditions like equality (`XCTAssertEqual`) or truth (`XCTAssertTrue`).
XCTest: Apple's Built-in Testing Framework
XCTest is your built-in toolbox for writing unit, performance, and UI tests in Xcode. Use it to verify individual functions or simulate user interactions. A common footgun is writing tests that depend on each other; they must be independent to be reliable.
AVCaptureSession
AVCaptureSession is the central coordinator in AVFoundation that connects camera and microphone inputs to outputs like a preview layer, photo capture, movie recording, or real time frame processing.
Core Bluetooth: The Central vs. Peripheral Model
Core Bluetooth lets your app talk to BLE devices by acting as a "Central" (scanner) or "Peripheral" (advertiser). Use it to read from sensors or make your app discoverable.
ARKit: Building Augmented Reality on Apple Devices
ARKit is Apple's framework for blending digital objects with the real world using a device's camera. Use it for games, virtual furniture previews, or measurement tools.
iOS Geofencing: Your App's Virtual Fence
Geofencing sets a virtual perimeter and lets iOS wake your app when a user enters or exits, without constant tracking. Use it for location-based reminders or context-aware features.
HealthKit: The Secure Vault for User Health Data
HealthKit is a secure, centralized database for user health data, not a sensor. Your app requests permission to read or write data like steps or workouts, which the OS manages. The footgun is assuming access; users grant permissions per data type.
StoreKit
StoreKit is Apple's framework for in-app purchases and subscriptions. It manages product lookup, presenting the payment sheet, processing transactions, and restoring purchases, so apps never touch raw payment data directly.
Vision Framework: Computer Vision on Apple Devices
The Vision framework is your on-device toolkit for understanding images and video. Use it for face detection, text recognition, or barcode scanning without needing ML expertise. Footgun: don't run requests on every frame; it drains the battery.
Core ML: On-Device Machine Learning for Apple Apps
Core ML runs pre-trained machine learning models directly on Apple devices, enabling fast, private, and offline AI. It's used for features like real-time image recognition or text analysis. The footgun: Core ML only runs models; it doesn't train them.
AVFoundation: Apple's Toolkit for Audio and Video
AVFoundation is Apple's low-level toolbox for audio and video. Use it for custom camera UIs, video editing, or complex audio playback. The main footgun is its complexity; managing sessions, inputs, and outputs on the correct threads is notoriously difficult.
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