As generative Artificial Intelligence (AI) technologies evolve, they offer unprecedented potential to automate and enhance various tasks, including coding. Natural Language-Oriented Programming (NLOP), a vision introduced in this paper, harnesses this potential by allowing developers to articulate software requirements and logic in their natural language, thereby democratizing software creation. This approach streamlines the development process and significantly lowers the barrier to entry for software engineering, making it feasible for non-experts to contribute effectively to software projects. By simplifying the transition from concept to code, NLOP can accelerate development cycles, enhance collaborative efforts, and reduce misunderstandings in requirement specifications. This paper reviews various programming models, assesses their contributions and limitations, and highlights that natural language will be the new programming language. Through this comparison, we illustrate how NLOP stands to transform the landscape of software engineering by fostering greater inclusivity and innovation.

翻译：随着生成式人工智能（AI）技术的演进，它们在自动化与增强包括编程在内的各类任务方面展现出前所未有的潜力。本文提出的"面向自然语言的编程（NLOP）"愿景，通过允许开发者以自然语言阐述软件需求与逻辑，从而释放这一潜力，推动软件创造的民主化。该方法简化了开发流程，显著降低了软件工程的门槛，使非专业人士也能有效参与软件项目。通过简化从概念到代码的转换过程，NLOP可加速开发周期、增强协作效率，并减少需求规格中的误解。本文回顾了多种编程模型，评估了它们的贡献与局限性，并指出自然语言将成为新的编程语言。通过对比分析，我们展示了NLOP如何通过促进包容性与创新，有望变革软件工程的格局。