Earticle

초록

영어

This study investigates the impact of AI coding assistants, specifically GitHub Copilot, on indie game development. Leveraging the Generalized Synthetic Control method, we analyze how AI tools influence key factors such as user ratings, post-launch patches, and bug-related fixes for games released on Steam. The results indicate that games developed after the introduction of GitHub Copilot see higher user satisfaction and increased post-launch activity, particularly in the form of more frequent patches and bug fixes during the first few months. However, this heightened activity gradually decreases by the sixmonth mark, suggesting that many critical issues are resolved early in the post-launch phase. These findings underscore both the productivity benefits and the growing need for sustained post-launch maintenance when using AI tools. This research offers valuable insights into AI's role in software development and highlights the importance of further investigation in larger studios and other industries, such as mobile applications, where AI's impact may manifest differently.

목차

Abstract
Introduction
Literature Review
Impact of AI Coding Assistant
Generalized Synthetic Control
Data & Method
Data
Method
Result
Conclusion
References

저자

• Youngjun Yu [ KAIST College of Business ]
• Donghyuk Shin [ KAIST College of Business ]

참고문헌