介绍 Micro Agent：一个（真正可靠的）AI 编码代理
I don't know about you, but I always love finding new ways to make my job easier. AI-assisted coding tools like GitHub Copilot and ChatGPT have shown a lot of promise in generating code from natural language descriptions.
我不知道你怎么样，但我总是喜欢找到新的方法来让我的工作更轻松。像 GitHub Copilot 和 ChatGPT 这样的 AI 辅助编码工具在从自然语言描述生成代码方面显示了很大的潜力。
However, if you've used these AI code generation tools, you've probably encountered a persistent issue: the code they produce often doesn't work correctly right out of the box. It may look plausible at first glance, but when you run it in VS Code or your preferred IDE, you find bugs, edge cases, or even references to non-existent APIs.
然而，如果你使用过这些AI代码生成工具，你可能遇到过一个持续的问题：它们生成的代码通常不能立即正常工作。乍一看可能很合理，但当你在VS Code或你喜欢的IDE中运行它时，你会发现错误、边缘情况，甚至引用了不存在的API。
This can lead to a frustrating loop of trying the generated code, finding issues, going back to the AI for fixes, and repeating. The time spent debugging can negate the time saved by using AI tools in the first place.
这可能导致一个令人沮丧的循环：尝试生成的代码，发现问题，回到 AI 进行修复，然后重复。调试所花费的时间可能会抵消使用 AI 工具最初节省的时间。
That's why we built Micro Agent, a new open-source tool, to solve. Micro Agent aims to deliver the benefits of AI-assisted coding while mitigating the problems of unreliable code generation.
这就是为什么我们构建了Micro Agent，一个新的开源工具，来解决这个问题。Micro Agent 旨在提供 AI 辅助编码的好处，同时减轻不可靠代码生成的问题。
The key idea behind Micro Agent is to constrain the generative AI to a specific task and provide it with clear, deterministic feedback. Instead of generating code in an open-ended way, Micro Agent uses unit tests as guardrails.
微代理背后的关键思想是将生成式AI限制在特定任务上，并为其提供明确的、确定性的反馈。微代理不是以开放的方式生成代码，而是使用单元测试作为护栏。
Here's the typical Micro Agent workflow:
以下是典型的微代理工作流程：
- Describe your function: You provide a natural language description of the function you want to create.
- 描述你的函数：你提供一个你想创建的函数的自然语言描述。
- AI generates tests: Based on your prompt, Micro Agent generates unit tests that specify the expected behavior of the function, including several input and output examples.
- AI 生成测试：根据你的提示，Micro Agent 生成指定函数预期行为的单元测试，包括多个输入和输出示例...