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在过去的一年里，越来越多的生成式 AI 应用来到了我们的日常，Copilot 似的 AI 大大改善了我们的工作和生活体验。而作为工程师，仅仅使用 AI 工具是不合时宜的，在恰当的时候，加入 AI 原生应用的开发大军，才是更适合被誉为 “夕阳产业” 从业人员的一种选择。
- 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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