The New AI Stack
Understanding Models, Agents, and Skills as the new computing paradigm
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Dynamic Runtime in AI Skill Design
Runtime techniques for flexible AI skills: dynamic dispatch, reflection, hot-reloading, and adaptive behavior. How to build skills that modify their own behavior based on context.
Is SwiftUI Ready for AI-Built Apps?
AI code generation quality for SwiftUI evaluated across layout, navigation, data flow, and platform integration. Where SwiftUI shines and where AI still struggles.
Catalyst Patterns for AI Mac Apps
Building Mac-native AI applications using Catalyst and AppKit patterns that feel right on macOS. Sidebars, toolbars, split views, and system integration for AI-powered desktop tools.
Elegant Method Interception in AI
Clean runtime interception patterns for AI agent tools that let you observe, modify, and extend behavior without touching source code. A practical guide to proxy, decorator, and hook strategies.
Porting Desktop Apps to AI-First
Modernize desktop applications with AI integration. Architecture patterns for adding AI capabilities to Electron, Tauri, and native apps without full rewrites.
Caching Strategies AI Should Know
Network caching patterns for AI-built applications. HTTP caching, CDN strategies, stale-while-revalidate, and cache invalidation patterns every AI skill should implement.
Block-Based APIs in Modern AI Skills
Closure and callback patterns in AI skill design. Learn how block-based APIs create composable, flexible skills that adapt to different contexts and workflows.
Runtime Hacking for AI Tool Builders
Advanced runtime techniques for AI skill development. Learn hot reloading, dynamic evaluation, monkey patching, and environment manipulation for faster iteration.
The Convergence: OpenClaw, Claude Code, and Skills
OpenClaw and Claude Code are converging toward a unified skill layer. Markdown config, skill registries, tool use, memory -- the architecture is aligning.
Surprising Behaviors in AI Extensions
Discover the edge cases that emerge when AI modifies existing code. Learn patterns to predict, prevent, and harness unexpected behaviors in AI-powered extensions.
Modern Objective-C Meets AI
How AI coding assistants handle legacy Objective-C codebases. Practical strategies for using AI to maintain, modernize, and extend Objective-C applications.
Thread Safety in AI Applications
Concurrency patterns that AI tools must respect when generating multi-threaded code. Practical patterns for thread-safe AI-generated applications.