📄 中文摘要
代理编码的核心在于代理能够将问题彻底解决。给代理一个问题和一个循环，长期来看，它将解决这个问题，即使这意味着消耗大量资源并重写底层代码。理想的 AI 代理应能快速解决编码问题，同时保持可维护性、适应性和可组合性，确保每个新增功能都能提升整体架构的质量。因此，优秀的库和良好的接口至关重要，它们能够封装复杂问题，使开发者在构建应用时能够轻松选择“正确”的解决方案。
引用马特·韦布
发布: 2026年3月28日
📄 English Summary
Quoting Matt Webb
Agentic coding emphasizes that agents can effectively tackle problems by grinding them down to solutions. Given a problem and a while loop, an agent will eventually solve it, even if it requires extensive resources and rewriting at the silicon level. The goal for AI agents is to resolve coding challenges swiftly while ensuring maintainability, adaptability, and composability, where each addition enhances the overall architecture. This necessitates the existence of robust libraries that encapsulate complex issues, paired with great interfaces that make the 'right' approach the easiest for developers building applications.