shareAI-lab/learn-claude-code

The `learn-claude-code` project serves as a foundational educational framework for understanding and meticulously building robust AI agent harnesses from the ground up. It critically challenges the prevalent misconception that true agency in AI agents is primarily derived from external code orchestration, complex prompt chaining, or superficial workflow builders. Instead, this repository emphatically asserts that genuine agency—the profound ability to perceive environments, reason about goals, and execute actions—is an inherent, learned property of the model itself, acquired through extensive and deep training. This guide empowers users to construct the essential "vehicle" (the agent harness) that enables a highly trained model (the "driver") to operate effectively and intelligently within any specific environment, thereby clearly distinguishing authentic agent engineering from mere 'prompt plumbing' solutions.