GH · GITHUB// 35d agoOPENSOURCE RELEASE

Learn Claude Code teaches agents from scratch

shareAI-lab's Learn Claude Code is a fast-rising open-source repo that rebuilds a Claude Code-like coding agent in 12 progressive sessions, starting from the core tool loop and ending with teams, background jobs, and worktree isolation. The project combines minimal Python implementations, multilingual docs, and a web learning UI, making agent internals easier to inspect, fork, and extend than most black-box demos.

// ANALYSIS

This repo is taking off because it explains coding agents as architecture, not magic. Instead of shipping another opaque wrapper around an LLM, it breaks the agent stack into teachable mechanisms developers can actually reason about.

–The s01-to-s12 progression covers the pieces practitioners care about most: tool dispatch, planning, subagents, context compaction, task graphs, async execution, team coordination, and isolated workspaces
–The README explicitly frames the code as a teaching implementation rather than production infrastructure, which makes the tradeoffs clearer and the lessons more reusable
–Its combination of runnable code, diagrams, and a browser-based learning experience lowers the barrier for developers who want to build agents instead of just consume them
–The repo also acts as a top-of-funnel for shareAI-lab's broader agent ecosystem, pointing learners toward Kode CLI, Kode SDK, and the always-on assistant repo claw0

// TAGS

learn-claude-codeagentai-codingopen-sourcellm

DISCOVERED

35d ago

2026-03-08

PUBLISHED

35d ago

2026-03-08

RELEVANCE

8/ 10