Context Engineering Is Architecture: 650 Files Later
Context engineering for AI agents across a 650-file, seven-layer hierarchy. Three production failures, real token budgets, and the system that survived.
AI & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
Multi-Agent Deliberation: When Agreement Is the Bug
Multi-agent deliberation catches failures that single-agent systems miss. Here is the architecture, the dead ends, and what is actually worth building.
AI & TechnologyWhy My AI Agent Has a Quality Philosophy
My 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 & TechnologyCompounding Engineering: How My Codebase Accelerates Instead of Decaying
Most codebases slow down as they grow. Mine accelerates. 95 hooks, 44 skills, and 14 configs make each feature cheaper than the last.
AI & TechnologyThe OODA Loop for Prompt Engineering: What Five Failures Taught Me
Five prompt failures taught me that structured observation beats clever wording. Boyd's OODA loop maps directly to my daily prompt engineering workflow.
AI & TechnologyThe Ralph Loop: How I Run Autonomous AI Agents Overnight
I built an autonomous agent system with stop hooks, spawn budgets, and filesystem memory. Here are the failures and what actually ships code.
AI & TechnologyAI Theater: Why 90% of Companies 'Use AI' But Only 23% Create Value
McKinsey found 90% of companies claim AI adoption but only 23% scale beyond pilots. I've witnessed three flavors of AI theater and practiced one myself.
AI & TechnologyVibe Coding vs. Engineering: Where I Draw the Line
I use Claude Code daily with 86 hooks and a full quality gate system. Here's where I vibe code, where I engineer, and why the boundary matters.
AI & TechnologyHow LLMs See Text: What My i18n System Taught Me About Token Economics
Translating my site into 6 languages revealed that Korean costs 2.8x more tokens than English for identical content. An interactive visualizer shows why.
AI & TechnologyBuilding AI Systems: From RAG to Agents
I built a 3,500-line agent system with 86 hooks and consensus validation. Here's what I learned about RAG, fine-tuning, and agent orchestration.
AI & TechnologyFrom 76 to 100: Achieving a Perfect Lighthouse Score
How a personal portfolio site went from a 76 mobile Lighthouse performance score with 0.493 CLS to a perfect 100/100/100/100 across all categories.
AI & TechnologyExternal Publications
Technical writing at Introl
Local LLM Hardware Pricing Guide 2025
Comprehensive hardware recommendations and cost analysis for running large language models locally.
H100 vs. H200 vs. B200: Choosing the Right NVIDIA GPUs for Your AI Workload
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
TPU Architecture: Complete Guide to Google's 7 Generations
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
GPU Memory Pooling in Multi-Tenant Kubernetes
Resource sharing strategies for GPU clusters in containerized environments.
Ray Clusters: Distributed AI Computing Infrastructure
Guide to building and managing distributed AI computing with Ray framework.
DeepSeek V3 Open Source AI Cost Advantage
Analysis of open source LLM economics and DeepSeek's competitive positioning.
NVIDIA Vera Rubin GPU 600kW Racks 2027
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
SMR Nuclear Power for AI Data Centers
Small modular reactor solutions for powering next-generation AI infrastructure.
DeepSeek MHC Architecture Breakthrough
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.