GitHub Issue

GitHub issues, representing bugs or feature requests within software repositories, are a focal point of research aiming to automate their resolution and improve software development workflows. Current research emphasizes leveraging large language models (LLMs), often within multi-agent frameworks or enhanced by techniques like Tree of Thoughts, to understand and address these issues, with a focus on improving accuracy and efficiency through techniques like reinforcement learning and active sampling. This research is significant because it directly addresses the time-consuming and labor-intensive nature of issue management, potentially leading to faster development cycles and higher-quality software.