learn-claude-code
by shareAI-lab
About
An educational project by shareAI-lab focused on 'Harness Engineering' for AI agents. It provides a masterclass by reverse-engineering the architecture of Anthropic's Claude Code. The repo teaches how to build the 'vehicle' (harness) for the 'driver' (model), covering essential mechanisms like tool implementation, context compression, subagent spawning, and task dependency graphs. It shifts the development focus from prompt plumbing to building robust environments for autonomous models.
Features
- Harness Engineering Principles
- On-demand Skill Loading
- Context Compression & Isolation
- Autonomous Task Dependency Systems
- Permission & Safety Governance
Supported Platforms
desktopweb