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lintsinghua/claude-code-book

A comprehensive 420,000-word technical book dissecting the architecture of AI Agent Harness, specifically drawing insights from Claude Code, to guide building your own robust agent systems.

Core Features

Deep architectural analysis of AI Agent Harness (Claude Code)

Focus on design philosophy, trade-offs, and transferable cognitive models

Covers core subsystems: tools, permissions, context, memory, hooks, sub-agents

Includes 139 architecture diagrams and 15 chapters of detailed content

Practical guide to building your own Agent Harness from scratch

Detailed Introduction

Decoding Agent Harness is a comprehensive technical book that fills a critical gap in the AI Agent landscape. While many resources teach how to *use* AI Agents, this 420,000-word guide meticulously dissects the architectural skeleton and neural pathways of a production-grade AI Agent Harness, specifically drawing insights from Claude Code. It moves beyond API documentation to explore design philosophies, trade-offs, and anti-patterns, offering a transferable cognitive model for building robust AI Agent systems. With 15 chapters and 139 architecture diagrams, it covers everything from dialogue loops and tool systems to context management and multi-agent orchestration, culminating in a practical guide to constructing your own Agent Harness.