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过去的一个月里，我一直在研究 ChatGPT，也与很多人（普通人、程序员、创业公司、风投等等）进行了交流。不论是业内（编程）还是业外，人们对于 AI 编程的观点都是：未来可期 —— GPT，他好像什么都能干，也好像什么都干不好。
结束了五一国庆的八天假期后，便开始着手为微信小程序《代码协作》制作一个图片识别代码的功能。这个需求的主要来源是，在有的公司、组织、团队上，代码是不能直接拷贝出来的。但是，拍照是允许的。为了协作方便，一般会拍照在微信群里讨论。对于我而言，因此这样一个真实需求的存在，我便想试试能不能做这样的一个功能。
- 渐近式 AI 编程模式：Unit Mesh 架构的设计思路与探索
- 开源 ChatFlow：让人类设计高质量流程，让 ChatGPT 生成与复读
- 未来可期的 AI 编程：到底是程序员的终极解放还是失业的开始？
- 如何构建结合 ChatGPT 的半自动化编程：以 ClickPrompt “步步惊心” 示例
- ChatGPT 的 10 种集成模式：从开源 AI 体验平台 ClickPrompt 中受到的启发
- 实时的软件生成 —— Prompt 编程打通低代码的最后一公里？
- ArchGuard Pipeline：打造企业级架构治理方案
- 如何利用好 AIGC 与创造力，探索出合适的 AI 策略
- Prompt 编写模式：如何为 ChatGPT 构建思维框架
- ArchGuard Runner：轻量级的 ArchGuard Pipeline 任务引擎
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出版有《前端架构：从入门到微前端》、《自己动手设计物联网》、《全栈应用开发：精益实践》
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