How Apple's on-device and server foundation models power Apple Intelligence, how the Foundation Models framework works, and practical Swift examples.
A practical guide to building macOS menu bar apps with SwiftUI — from the basics of MenuBarExtra to window management, settings, and common patterns.
Practical techniques for making SwiftUI previews useful in production projects: previewing state, mock data, multiple devices, dark mode, localization, and performance.
Explore MLX Swift architecture, unified memory, GPU-backed array operations, model workflows, and practical constraints for machine learning on Apple platforms.
A comparison of the three main ways to distribute macOS apps — Mac App Store, direct notarized download, and Homebrew — covering code signing, sandboxing, updates, and tradeoffs.
A practical guide to running ONNX models on Apple Silicon — from Python prototyping to shipping inside a macOS app with ONNX Runtime's CoreML Execution Provider.
A practical checklist for iOS developers before WWDC: stabilize your app, archive your current setup, prepare for beta SDKs, and decide what to watch during the conference.
SwiftUI is mature enough for real apps, but developers are still hitting pain points around navigation, performance, previews, UIKit escape hatches, and OS-version constraints.
How I ported the Chatterbox TTS model to run fully on-device using ONNX Runtime Swift bindings — including KV cache management, memory-safe autorelease scoping, and audio resampling without a single third-party DSP library.
Here's how I built a background analyzer that uses an LLM to generate titles and tags for every draft — fully automatic, non-blocking, with retries and concurrency control.