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.

通过自然语言导向的编程 (NLOP) 将软件需求和逻辑表达为自然语言，该方法简化了开发过程，降低了非专业人士参与软件项目的门槛，并加速了开发周期、增强了协作效果，并减少了需求规范中的误解。通过对各种编程模型的评估，本文强调自然语言将成为新的编程语言，并说明了 NLOP 如何促进软件工程的包容性和创新，从而改变软件工程的格局。