Boids to Agents: Flocking Rules for AI Systems
Craig Reynolds' 1986 boids algorithm produces flocking from three local rules. The same principles and failure modes appear in multi-agent AI systems.
Interactive ExplorationsThoughts on design, development, AI infrastructure, and building products.
Craig Reynolds' 1986 boids algorithm produces flocking from three local rules. The same principles and failure modes appear in multi-agent AI systems.
Interactive ExplorationsFastAPI + HTMX + plain CSS with zero build tools and perfect Lighthouse scores. Real production numbers, honest tradeoffs, and a clear decision framework.
Engineering PracticeContext engineering for AI agents across a 650-file, seven-layer hierarchy. Three production failures, real token budgets, and the system that survived.
AI & TechnologyNegative space is infrastructure, not absence. How emptiness, silence, and whitespace create structure in physics, music, information theory, and design.
Design & UXMulti-agent deliberation catches failures that single-agent systems miss. Here is the architecture, the dead ends, and what is actually worth building.
AI & TechnologyMy Claude Code agent inherited every sloppy human habit at machine speed. I built 3 philosophies, 150+ quality gates, and 95 hooks. Here's what worked.
AI & TechnologyXcodeBuildMCP and Apple's Xcode MCP give Claude Code structured access to iOS builds, tests, and debugging. Setup, real-world results, and honest lessons.
AI & TechnologyGoogle's Project Aristotle found psychological safety predicts team performance. I encoded the same principles into automated code review hooks.
Career & GrowthClaude Code offers four extension types. After building 95 hooks, 44 skills, and dozens of commands, I learned which abstraction fits which problem.
AI DevelopmentI built 95 hooks for Claude Code. Each one exists because something went wrong. Here are the origin stories and the architecture that emerged.
AI DevelopmentAfter 12 years as VP of Product Design, I watched three paradigm shifts. The skills that survived every one are the same skills AI can't replace.
Design & UXI built an autonomous agent system with stop hooks, spawn budgets, and filesystem memory. Here are the failures and what actually ships code.
AI & TechnologyTechnical writing published 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.