一句话：从 Tabnine 服务数百万用户的实践出发，总结 AI 驱动软件开发在 SDLC、交互、上下文与信任方面的挑战与经验。
这是一篇主题演讲，探讨 AI 正在如何改变软件开发的方式。作者指出，AI 不仅提升了抽象层次，更有可能改变人机交互的本质，从而重塑整个软件开发生命周期（SDLC）。报告提出四个核心挑战：其一，当自主智能体能够承担部分任务时，SDLC 会发生什么变化，代码与版本控制的角色又是什么；其二，人机交互模型应如何设计，如何最有效地向 AI 表达意图并消费结果；其三，上下文感知，即如何让 AI 理解开发环境，并针对具体问题域与解域做到高度本地化与定制化；其四，信任问题，包括如何信任 AI 给出的建议结果，以及那些并非以代码形式呈现的结果。报告结合 Tabnine 服务数百万用户的落地经验，给出 AI 辅助软件开发的实践与教训，并覆盖 SDLC 中的不同任务及应对上述挑战的多种技术。
AI is changing the way we develop software. AI is becoming powerful enough to change the nature of interaction between humans and machines and not only to raise the level of abstraction. AI-driven software development is poised to transform the entire software development lifecycle (SDLC). As we move towards AI-driven software development, we must revisit some fundamental assumptions and address the following challenges: • How does the SDLC change when autonomous agents can handle some tasks? What is the role of code and version control? • Interaction model: What is the right human-machine interaction? How do we best communicate intent to the AI? How to best consume results? • Contextual awareness: How do we make the AI contextually aware of our development environment? Can we make the AI hyper-local and tailored to our problem and solution domains? • Trust: How can we trust the suggested results? How can we trust results that are not provided as code? In this talk, we will start with practical AI-assisted software development, including lessons from the field, based on our experience serving millions of users with Tabnine. We will cover different tasks in the SDLC and various techniques for addressing them in the face of the challenges above.