From Code to Creativity: Exploring the Capabilities of Generative AI in Software Engineering
Abstract
Generative AI has entered the domain of software development, promising to automate code generation, bug fixing, documentation, and even architectural design. This paper examines the efficacy of models like OpenAI Codex and CodeGen in supporting developers throughout the software lifecycle. Through experiments and developer surveys, we assess the productivity gains and limitations of using GenAI-powered tools. The paper also addresses the implications for software engineering education, employment, and intellectual property rights.
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