[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_29":-5,"_44":-5,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58,"_59":60,"_61":62,"_63":64},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzc4NzI","title","构建你自己的编程智能助手","state","published","contactAuthorMethod","email","aboutText","

你是一名对 AI 炒作持怀疑态度的软件工程师。

你看过演示，试过框架，亲眼看着你的 LangChain 应用一路幻觉到崩溃。然后你想：\"一定有更好的方法。\"

确实有。

这本书是对\"魔法\"的反叛。它教你用纯 Python 从零开始构建一个生产级的 AI 编程智能体。没有 LangChain，没有 Pydantic，没有向量数据库。只有你能用 print() 调试的代码。

读完本书，你将构建出 Nanocode，一个基于终端的编程智能体，它能：

读取、写入和精确编辑代码库中的文件
执行 shell 命令并从错误中自我修正
用纯 Python 映射和搜索代码
通过持久化记事本在会话间记忆上下文
在执行危险操作前请求许可
在网络上搜索最新信息

你将了解到，一个智能体只由四样东西组成：

大脑 —— 一个无状态的 API 调用（Claude、DeepSeek 或 Ollama）
工具 —— Python 函数（Read、Write、Edit、Run、Search）
记忆 —— 一个作为系统提示注入的自修改 Markdown 文件
循环 —— 一个把一切串联起来的 while True

在这个过程中，你将测试一切。你将构建一个 FakeBrain 测试替身，让你无需消耗 API 额度就能即时运行完整的 pytest 测试套件，验证复杂的智能体逻辑。你可以用一条命令在云端模型和本地模型之间切换，通过 Ollama 在自己的笔记本电脑上免费运行大脑。

在最后一章，你将使用你的智能体在 Pygame 中构建一个完整的贪吃蛇游戏，而你自己不写一行代码。你说出计划，智能体编写、运行、调试和修复代码，直到游戏可以运行。

如果你能读懂 Python，并且想了解 AI 智能体内部到底在发生什么，这本书就是为你写的。

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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