Software Development Automation Using Generative AI

The Software Development Lifecycle (SDLC) is a structured process that guides the development of software projects, encompassing phases from planning to deployment. Traditionally, the SDLC has relied on manual input, making it prone to delays, errors, and inefficiencies. With the recent advancements in Generative AI (GenAI) and Large Language Models (LLMs) such as GPT, it is now feasible to automate substantial portions of the SDLC. This paper presents a novel approach to automating the SDLC using LLMs and the Langchain framework, aiming to streamline the entire software development process. By au-tomating key phases, including project planning, requirements gathering, code generation, testing, and deployment, this research explores how AI can minimize human intervention and accelerate software development timelines. The paper also discusses the potential advantages of AI-driven SDLC automation, such as improved efficiency, consistency, and scalability, while addressing challenges related to its integration. The proposed approach offers a glimpse into the future of software engineering, where AI plays a central role in transforming how software is developed and delivered.