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Generative AI (or in short, GenAI) is redefining the software development landscape by automating complex tasks and significantly enhancing productivity. Utilizing powerful Large Language Models (LLMs) such as OpenAI’s ChatGPT, GenAI allows developers to optimize key tasks such as code generation, refactoring, and debugging. This paper provides a thorough analysis and recommendations of leading AI-assisted tools in the industry, highlighting their potential to automate code-related tasks and enhancing developer productivity. It aims at providing a summarized set of recommendations for leveraging GenAI in software development. It also identifies best practices for exploiting such technologies, including intelligent code suggestions with GitHub Copilot, advanced code refactoring with DeepCode, and AI powered completions using Tabnine. These guidelines are to assist developers and organizations in choosing the best generative AI solution so that they can speed up their development cycles, improve the quality of their codes, and ensure scalable integration within projects.

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Recommendation Framework for Generative AI-Assisted Software Development

  • 会议论文

  • 发表日期：

    2026年

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  • Sagnik Sengupta,
  • Sayak Pal,
  • Soumili Das,
  • Swastik Chattopadhyay,
  • Amit Kumar Das

摘要

Generative AI (or in short, GenAI) is redefining the software development landscape by automating complex tasks and significantly enhancing productivity. Utilizing powerful Large Language Models (LLMs) such as OpenAI’s ChatGPT, GenAI allows developers to optimize key tasks such as code generation, refactoring, and debugging. This paper provides a thorough analysis and recommendations of leading AI-assisted tools in the industry, highlighting their potential to automate code-related tasks and enhancing developer productivity. It aims at providing a summarized set of recommendations for leveraging GenAI in software development. It also identifies best practices for exploiting such technologies, including intelligent code suggestions with GitHub Copilot, advanced code refactoring with DeepCode, and AI powered completions using Tabnine. These guidelines are to assist developers and organizations in choosing the best generative AI solution so that they can speed up their development cycles, improve the quality of their codes, and ensure scalable integration within projects.