arXiv:2410.06107cs.SEcs.AI2024-10被引 58

提出AI原生软件工程3.0,让AI从助手变队友,提升开发效率与协作体验。

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap

  • AI从任务执行转向理解开发意图,实现对话式协作开发。
  • 构建包含IDE、编译器、运行时等的AI原生技术栈,支持多目标代码合成。
  • 适合关注AI深度融入开发流程的研究者与工程师参考。

AI辅助软件工程(SE 2.0)借助基础模型和编程助手提升了开发者效率,但也带来认知过载与低效问题。本文提出迈向软件工程3.0(SE 3.0)——一种以意图为中心、对话为导向的AI原生范式。SE 3.0将AI系统从任务驱动的协作者进化为能深入理解软件工程原理与开发意图的智能合作者。我们提出了SE 3.0的技术栈:Teammate.next实现自适应个性化伙伴;IDE.next支持意图驱动的对话式开发;Compiler.next完成多目标代码合成;Runtime.next提供服务级别协议(SLA)感知执行及边缘计算支持。该愿景旨在缓解SE 2.0的认知负担与效率瓶颈,推动人机协同最大化互补优势。本文还列出了实现愿景所需克服的关键挑战,为未来讨论AI在软件工程新阶段的角色奠定基础。

原文摘要 · Abstract (English)

The rise of AI-assisted software engineering (SE 2.0), powered by Foundation Models (FMs) and FM-powered coding assistants, has shown promise in improving developer productivity. However, it has also exposed inherent limitations, such as cognitive overload on developers and inefficiencies. We propose a shift towards Software Engineering 3.0 (SE 3.0), an AI-native approach characterized by intent-centric, conversation-oriented development between human developers and AI teammates. SE 3.0 envisions AI systems evolving beyond task-driven copilots into intelligent collaborators, capable of deeply understanding and reasoning about software engineering principles and intents. We outline the key components of the SE 3.0 technology stack, which includes Teammate.next for adaptive and personalized AI partnership, IDE.next for intent-centric conversation-oriented development, Compiler.next for multi-objective code synthesis, and Runtime.next for SLA-aware execution with edge-computing support. Our vision addresses the inefficiencies and cognitive strain of SE 2.0 by fostering a symbiotic relationship between human developers and AI, maximizing their complementary strengths. We also present a roadmap of challenges that must be overcome to realize our vision of SE 3.0. This paper lays the foundation for future discussions on the role of AI in the next era of software engineering.

AI原生软件工程开发协作智能伙伴

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