GitHub Copilot 计划模式与自定义 AI 代理:一个意外发现
📄 中文摘要
在撰写关于最近 VS Code 更新的文章时,使用了自定义的文章写作代理。结果却让我感到意外,该代理本应在写作前提出澄清问题,收集背景信息、理解受众和明确角度。然而,它仅询问了一两个问题便开始写作。相比之下,GitHub Copilot 的现成计划模式则深入探讨,提出了更具思考性的问题,整体表现优于我所构建的专用工具。这一时刻让我意识到,有时构建自定义 AI 解决方案并不是最佳选择,反而应当让现成工具发挥作用。
📄 English Summary
GitHub Copilot Plan Mode vs Custom AI Agents: A Surprising Discovery
While attempting to write an article about recent VS Code updates using a custom article-writing agent, an unexpected outcome occurred. The custom agent was designed to ask clarifying questions before writing, with specific instructions to gather context, understand the audience, and clarify the angle. However, it only asked one or two questions before starting to write. In contrast, GitHub Copilot's out-of-the-box plan mode was probing deeper, asking more thoughtful questions, and generally performing better than the specialized tool I had built. This moment crystallized the realization that sometimes building custom AI solutions is not the best approach, and it is better to let existing tools take the lead.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等