AI's Next Leap In Redefining Enterprise Software Development: From Past to Future Possibilities

Abstract Software Development as a field is exponentially growing. It is deemed essential to innovate and lead. Though technologies from time to time have greatly impacted the development methodologies, it is AI now that has ushered software development into a new era of possibilities. It truly has helped with optimizing the SDLC (Software Development Lifecycles), but there are myriad challenges that its integration into software engineering entails. AI tools are fast transforming the ways the codes are written, generated, improved, optimized, reviewed, debugged, and managed. From saving time that often goes into carrying out repetitive tasks to analyzing or testing code, AI tools have made almost all things simple. NLP (Natural Language Processing) is one of the best core features of AI-human interaction. The users provide queries in simple English and get the results they need to speed up their development process. This paper highlights the current practices, strategies, methodologies, and procedures enterprises employ to speed up their development processes. It systematically reviews the existing literature and discusses the difficulties underlying AI integration into enterprise software development practices, the complex nature of the AI models that the companies use, data storage, and data security.