The Role of Generative AI Tools in Application Development: A Comprehensive Review of Current Technologies and Practices

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Abstract
This paper provides a comprehensive review of the role of Generative AI (GenAI) tools in modern software application development. It highlights the advancements in machine learning, natural language processing, and neural network architectures that have enabled the evolution of GenAI tools from basic code generation and assistance to fully autonomous software development capabilities. Key GenAI tools like GitHub Copilot, TabNine, Cursor AI and Devin AI are examined, with a focus on their functionalities such as code generation, testing, debugging, and deployment. The paper also discusses the productivity benefits, limitations, and ethical considerations of integrating GenAI tools into the development lifecycle. The aim is to equip software developers, managers, and organizations with a deep understanding of the practical applications and future directions of GenAI in streamlining development processes.

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