Claude Code CLI Setup 2026: 5-Minute Quickstart
Use official Anthropic docs for policy; use Blake's reference for npm install, CLAUDE.md, permissions, and first-session checks.
AI DevelopmentThoughts on design, development, AI infrastructure, and building products.
Use official Anthropic docs for policy; use Blake's reference for npm install, CLAUDE.md, permissions, and first-session checks.
AI DevelopmentCodex CLI vs Claude Code in 2026: kernel sandboxing, hook governance, model context, pricing, China cloud access, and when to use each tool.
AI DevelopmentBuild 5 production Claude Code hooks from scratch with full JSON configs: auto-formatting, security gates, test runners, notifications, and quality checks.
AI DevelopmentWhich AGENTS.md patterns actually change agent behavior? Anti-patterns to avoid, patterns that work, and a cross-tool compatibility matrix for 8 tools.
AI DevelopmentBuild custom Claude Code skills that auto-activate based on context. Step-by-step tutorial covering SKILL.md structure, frontmatter, LLM-based matching, and team sharing via git.
AI DevelopmentUse official docs for setup; use Blake's reference for architecture, safety, extensibility, and 36 blind duel results.
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 DevelopmentClaude Code offers four extension types. After building 95 hooks, 44 skills, and dozens of commands, I learned which abstraction fits which problem.
AI DevelopmentI measured token consumption across 50 Claude Code sessions. Context exhaustion degrades output before you notice. Here are the patterns that fix it.
AI DevelopmentI've written 30+ PRDs for AI agent tasks. Here's where PRD-driven development works, where it fails, and how my template evolved over 6 months.
AI DevelopmentI tracked 30 development sessions using Claude Code and Cursor together. The data shows where each tool wins and where the combination fails.
AI DevelopmentTechnical 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.