In contemporary society, Artificial Intelligence (AI) permeates numerous facets of daily life, including healthcare, manufacturing, and education. However, the fields of computer science and computer engineering have traditionally emphasized enhancing efficiency over practical implementation in daily environments, focusing on areas such as algorithm optimization, network traffic management, and compiler optimization. This thesis addresses this gap by constructing a framework aimed at aiding developers in resolving GitHub issues through AI-driven solutions. By doing so, developers can interact with AI in a more straightforward and practical manner. Central to this framework is an Agent, serving as the interface between human requests and AI responses.