earticle

영어

Generative AI is being used in software development for automated code generation, bug detection and optimization, natural language-to-code transformation, and automated documentation. Tools like GitHub Copilot and OpenAI Codex provide real-time code suggestions, boosting productivity and enabling nondevelopers to create code from simple descriptions. The purpose of this paper is to analyze various generative AI frameworks employed in software development to investigate their specific characteristics, advantages, and disadvantages. By conducting this analysis, the study aims to furnish software developers with essential data that could streamline their use of generative AI, thereby enhancing productivity and facilitating better decision-making regarding which tools to adopt for their projects. Understanding these attributes will enable developers to select frameworks that best align with their needs and technical environments, optimizing their workflow and outcomes.