  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.
