最近爆火的 Harness Engineering 到底是个啥？一期讲透！

Harness Engineering represents the critical evolution of AI systems from simple prompt-based interactions to stable, production-ready agentic workflows. While Prompt Engineering focuses on intent and Context Engineering manages information flow, Harness Engineering provides the structural framework—including execution orchestration, state management, and error recovery—necessary for long-term task reliability. Mature implementations, such as those utilized by Anthropic and OpenAI, emphasize "progressive disclosure" of information to preserve context window efficiency and the separation of generation from evaluation to ensure quality. By treating AI agents as systems requiring rigorous monitoring, automated testing, and self-correcting feedback loops, developers can shift the focus from merely optimizing model intelligence to achieving consistent, autonomous performance in complex, real-world environments.