AI-Powered Code Completion Tools and Their Impact on Developer Productivity
Year: 2025
Type: article
Abstract: AI-powered code completion tools, such as GitHub Copilot, have revolutionized software development by automating repetitive coding tasks and providing real-time code suggestions. This paper explores the impact of these tools on developer productivity, focusing on their ability to reduce development time, improve code quality, and enhance overall efficiency. Through a review of existing literature, case studies, and experimental data, we analyze the benefits and challenges of AI-assisted coding. The findings reveal that developers using tools like GitHub Copilot complete tasks significantly faster, with a reported 55.8% reduction in completion time in controlled experiments . However, challenges such as dependency on AI-generated code, occasional inaccuracies, and security concerns remain. This paper concludes with recommendations for future enhancements and research directions to maximize the potential of AI-powered code completion tools in software development.
Authors: C K Gomathy, S Anirudh
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408913950