Core path — read in order
- 01 Claude Code: The Complete Beginner's Guide to an AI Agent That Goes Beyond Chatbots Claude Code is Anthropic's terminal-based AI agent that reads and writes files, runs shell commands, and remembers your preferences across sessions. This guide breaks down how it differs from chatbots and walks through three real workflow transformations.
- 02 I Automated 80% of My Daily Development Work with Claude Code Build an AI Agent system from scratch with Claude Code to automate memory management, literature digestion, and SOP routing.
- 03 CLAUDE.md Design Philosophy: Making AI Remember Who You Are A deep dive into Claude Code's CLAUDE.md config. From identity declaration to memory routing, build personalized AI agents.
- 04 AI Agent Memory System Design: Three-Layer Architecture in Practice A deep dive into the three-layer memory architecture for AI agents (fact, episodic, scratchpad) — from design philosophy to hands-on implementation — solving the cross-conversation amnesia problem.
- 05 Skill Routing Engine: Let Your AI Automatically Choose the Right Workflow What is a Skill Routing Engine? Use trigger words to automatically load SOP templates so your Claude Code Agent never needs manual workflow specification again.
- 06 Hook Gatekeeper System: Quality Control for Every Line of Code Your AI Writes Use Claude Code's PreToolUse and PostToolUse hooks to intercept dangerous operations, auto-run tests, and ensure every AI agent action passes a quality gate.
- 07 Cross-Platform Sync: One Memory System Across Claude/Copilot/agy How to share a single AI Agent memory across Claude Code, GitHub Copilot CLI, and Antigravity CLI (agy). Comparison of entry configs, @import mechanisms, and cross-platform injection strategies.
- 08 AI Agent Safety Baseline Design: My 10 Unbreakable Rules AI Agent automation brings efficiency but also risk. This article shares 10 battle-tested safety baseline rules with Hook gatekeeper implementation concepts, helping you build an AI workflow that won't self-destruct.
- 09 Building a Complete Agent Workflow from Scratch (Part 1): The Architecture Blueprint Design a complete AI Agent system architecture from the ground up, covering six layers: identity, memory, routing, gating, cross-platform, and safety. Understand what each layer solves and how they interconnect.
- 10 Building a Complete Agent Workflow from Scratch (Part 2): Seven Steps to Deployment A hands-on guide to building an AI Agent system: from directory layout and boot config to three-layer memory architecture and hook-based guardrails, seven steps to a working Agent workflow.
Advanced — read in any order
- 11 7 Fatal Mistakes My AI Agent Made Seven real-world AI Agent disaster stories from six months of use: from rm -rf burns and API Key leaks to total cross-session amnesia, every mistake became a system safeguard.
- 12 2026 AI Agent Toolchain Comparison: Claude Code, Copilot CLI, Antigravity CLI, Cursor, Aider Horizontal comparison of five mainstream AI Agent tools: memory persistence, Hook extensibility, Skill routing, and cross-platform integration, with scenario-based recommendations.
- 13 Dual-Brain Kanban: Claude Code Makes the Changes, Claude Desktop Shows Them Live How do you let the same Kanban board be programmatically managed by any AI Agent while rendering beautifully in real-time via Claude Desktop's Live artifacts, even letting you edit cards straight from the UI? Breaking down the three-layer co-governance architecture of data, MCP bridge, and presentation, with a full walkthrough of my actual Morning War Room implementation and security red lines.
- 14 Building a LINE Customer Service Bot with a Local LLM: From Model Selection to Production Pitfalls A hands-on guide to deploying a LINE Bot customer service agent on Windows GPU with Ollama, Qwen3.5, and Hermes Gateway, including six real production pitfalls and fixes
- 15 76 Examples Are Enough to Teach an AI Your Brand Voice: A Complete Windows QLoRA Fine-Tuning Guide Fine-tune Qwen3.5 with QLoRA on an RTX 4060 Ti using 76 ChatML samples. A full walkthrough from environment setup through LoRA merge, GGUF conversion, and Ollama deploy, plus five hard rules for Windows CUDA fine-tuning.
- 16 Finish One Fine-Tune in 33 Seconds: LoRA on Apple Silicon Run LoRA local fine-tuning of Gemma-4 E4B on an M4 Pro with mlx-tune. In 33 seconds the model learns your JSON schema. A full field report of Apple Silicon local fine-tuning.
- 17 Turn a Second Mac into an AI Extension: Cloudflare Tunnel + SSH Zero Trust Hands-on Use Cloudflare Tunnel and Zero Trust to open a multi-device AI Agent channel, secure SSH into an idle iMac as a LINE Bot extension, with full setup steps and failure notes
- 18 Let Claude Code and Codex Type to Each Other: tmux-bridge-mcp Hands-On Test and Security Review Running multiple AI coding agents but still copy-pasting between terminals by hand? tmux-bridge-mcp lets agents read and write each other's terminals over MCP, with install steps, supply-chain security review notes, and multi-agent terminal tuning tips
- 19 VoidNotch: Turn the MacBook Notch into a System + AI Usage HUD MIT open-source macOS notch dashboard for system health and AI coding-provider quotas. Local-first: clone, build, and run.