Thoughts on design, development, AI infrastructure, and building products.
Image Playground gives apps two paths: the SwiftUI imagePlaygroundSheet modifier and the programmatic ImageCreator API for generating images from concepts.
AI & TechnologyMetal 4 ships parallel MTL4-prefixed types alongside Metal in iOS 26. Multi-threaded command encoding, unified compute, and ML as a first-class GPU pass.
AI & TechnologyClaude Code to Codex migration guide: move AGENTS.md, skills, hooks, profiles, MCP, public-writing gates, and verified CLI notes from real local data.
AI & TechnologyiPhone 15 Pro+ records Apple Log alongside HEVC and ProRes. AVFoundation exposes HDR (HLG, HDR10, Dolby Vision) and Apple Log through AVCaptureDevice.
AI & Technology@Observable replaces ObservableObject's broadcast model with per-property access tracking. The macro expansion, the registrar, and the migration trap.
AI & TechnologywatchOS workout sessions move through a six-state lifecycle. iOS 26 brought HKWorkoutSession to iPhone. The state machine, the live builder, and the delegate.
AI & TechnologyiOS 16's Layout protocol lets apps build custom layouts with two methods. sizeThatFits, placeSubviews, the proposal contract, layout values, and caching.
AI & TechnologySF Symbols creates 27 variations from three source designs. The variable template, compatible-data path requirements, rendering modes, and the Xcode handoff.
AI & TechnologyiOS, iPad, Mac, Watch, Vision, TV. Six platforms, six obligations. Picking Apple targets is a product decision before it is an engineering one.
AI & TechnologyCore ML runs models on Neural Engine, GPU, or CPU. The patterns that ship: model conversion, dispatch hinting, latency budgets, and quantization.
AI & TechnologyApps that float an iPad UI on Vision Pro miss the platform. Windows, Volumes, Immersive Spaces, ornaments, attachments: the visionOS-native vocabulary.
AI & TechnologyApple TV navigates by focus, not touch. SwiftUI's .focusable, @FocusState, focusSection, and prefersDefaultFocus are the vocabulary. The patterns that ship.
AI & TechnologyTechnical writing at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.