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我们学习到的某一个领域的知识，很少会孤立存在的。当我们有意识地去发掘的时候，便会惊讶地发现：它们之间存在联系。这也就是我写这一篇文章的目的，尝试去建立对于思维图形化的推理过程。显然，与结果相比，过程也许是这篇文章的一个重点。
- 构建演进式 AI 辅助编码，融合 DevOps 规范和实践
- 可执行单元校验：在 IDE 中提升 AI 智能体代码的准确性
- 在 IDE 中构建 AutoDev AI 编程开发智能体框架与 AI 智能体语言？
- AutoDev DevIns —— 开源 AI 智能体语言，构建 AI 驱动的自动编程
- 如何构建全流程辅助的 AI4EE 能力：从 Team AI 到企业级 AI 辅助研发的思考？
- AutoDev 自定义 Agent：快速接入内部 AI Agent，构建 IDE 即 AI 辅助研发中心
- 2024 年 AI 辅助研发趋势预测：从研发数字化到 AI + 开发工具 2.0，不止于 Copilot
- 在 GitHub Action 上构建 HarmonyOS 应用
- AutoDev 1.6.4：借助生成式 AI 提升 HarmonyOS 应用开发体验
- 生成式 AI 辅助遗留系统改造：工具设计篇
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