woodx9/build-your-claude-code-from-scratch

Implements a progressive multi-chapter learning framework for agentic AI systems, from basic tool calling (native function calls and XML formats) through advanced patterns like ReAct loops, real-time streaming with character-by-character output, intelligent conversation history compression with token tracking, and sub-agent delegation with async execution. Architecture centers on the "Quick Star" CLI agent that integrates with Claude/OpenAI-compatible APIs via OpenRouter, including native MCP (Model Context Protocol) server support for dynamic external tool loading, while demonstrating practical code generation workflows through interactive debugging and file management.

111 stars.