📄 中文摘要
AI 代理的创建方式正在发生根本性的变化。过去，构建代理功能需要编码专业知识、API 知识以及无尽的调试工作。然而，新的范式正在出现：通过演示实现无代码的代理开发。传统的代理开发遵循一个熟悉的模式，包括编写详细的规格、实现 API 集成、定义 UI 元素的选择器、处理代码中的边缘情况以及在出现问题时进行调试。这种方法造成了瓶颈，领域专家无法在没有工程支持的情况下构建代理，而工程师在没有深入的主题知识的情况下也难以捕捉领域的细微差别。
无代码的 AI 代理开发未来
出处: The No-Code Future of AI Agent Development
发布: 2026年2月28日
📄 English Summary
The No-Code Future of AI Agent Development
A fundamental shift is occurring in the way AI agents are developed. Historically, building agent capabilities required coding expertise, API knowledge, and extensive debugging. However, a new paradigm is emerging: no-code agent development through demonstration. Traditional agent development follows a familiar pattern that includes writing detailed specifications, implementing API integrations, defining selectors for UI elements, handling edge cases in code, and debugging when issues arise. This approach creates a bottleneck where domain experts cannot build agents without engineering support, while engineers struggle to capture domain nuances without deep subject matter expertise.