AI Agent Development Framework
42.4k 2026-03-29
shareAI-lab/learn-claude-code
A minimalist, Bash-centric framework for building true AI agents, emphasizing model-centric agency over prompt plumbing.
Core Features
Advocates for model-centric AI agent development.
Critiques and contrasts with prompt-chaining and workflow builders.
Provides a "nano Claude code-like" agent harness.
Emphasizes building agents from scratch ("0 to 1") with a minimalist, Bash-only approach.
Detailed Introduction
The `learn-claude-code` project offers a foundational perspective on AI agent development, asserting that an agent is fundamentally a trained model, not merely an orchestration of prompts or workflows. It champions a minimalist, "Bash is all you need" approach to constructing agent harnesses from the ground up, directly challenging the prevailing "prompt plumbing" industry. By focusing on the core principle of learned agency, it aims to guide developers in creating robust, scalable, and genuinely intelligent AI systems, drawing parallels with historical AI milestones in gaming and software engineering.