AI Agents as Virtual Software Developers

Abstract: Artificial Intelligence (AI) agents are emerging as powerful virtual software developers capable of automating various stages of the Software Development Life Cycle (SDLC). Traditional software development processes often require significant human effort in coding, debugging, testing, deployment, and maintenance, leading to increased development time and operational complexity. AI agents use technologies such as Large Language Models (LLMs), machine learning, natural language processing, and autonomous decision-making to assist developers in performing these tasks efficiently. This paper presents a study on the architecture, operation, and applications of AI agents as virtual software developers. The proposed approach highlights how AI agents can improve coding productivity, software quality, collaboration, and automation within modern development environments. The study also discusses the advantages, challenges, limitations, and future scope of AI-driven autonomous software engineering systems.

Keywords: Artificial Intelligence (AI) Agents, Virtual Software Developers, Large Language Models (LLMs), Software Development Life Cycle (SDLC), Autonomous Coding, Intelligent Automation, Machine Learning, AI-Assisted Programming, Software Engineering, Automated Testing and Debugging