An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges

This replication package accompanies the paper “An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges.” The package contains the data and supplementary materials used in the study, including the classified GitHub issue corpus, manual coding assignments, label definitions, task and challenge cluster mappings, task-tool mappings, and DeepSeek prompt materials. The issue corpus covers GenAI, traditional AI (TradAI), and non-AI (NonAI) issues collected from selected open-source game repositories, with the observation snapshot ending on May 31, 2025 (Toronto time). The materials support the quantitative corpus overview, issue life-cycle analyses, and qualitative comparisons of issue types, development tasks, reported challenges, and tool involvement across the three issue categories.