📄 中文摘要
开发者们在过去一年里一直沉迷于构建“完美提示”，试图通过一份长达5000字的说明手册来指导每一次请求。然而，这种方法脆弱、昂贵且根本存在缺陷。最佳实践是从提示转向搭建框架，开发者不再试图用庞大的文本块解释复杂的业务流程，而是围绕小而专注的LLM调用构建确定性的软件框架。搭建AI功能的步骤包括将任务拆解，不应将整个CRM文件传递给AI，而是逐步引导其完成特定任务。
为何应停止提示（而应开始搭建框架）
出处: Why You Should Stop Prompting (And Start Scaffolding)
发布: 2026年3月3日
📄 English Summary
Why You Should Stop Prompting (And Start Scaffolding)
Developers have been obsessed with creating the 'perfect prompt' over the past year, attempting to provide a 5,000-word instruction manual for every request. This approach is brittle, expensive, and fundamentally flawed. The best practice has shifted from prompting to scaffolding, where developers no longer try to explain complex business processes in large text blobs but instead build deterministic software scaffolding around small, focused LLM calls. Key steps in scaffolding an AI feature include breaking down tasks and guiding the AI through specific actions rather than overwhelming it with entire datasets.