Collaborative Programming Platform with Integrated AI Debugger and Code Recommender

Maintaining efficiency and accuracy is a critical challenge in collaborative software development. This paper presents a hybrid programming platform that integrates real-time collaboration with AI-driven debugging and code recommendation. The system combines CodeT5 for rapid syntax correction with PhiCoder-2 for semantic analysis, enabling both speed and contextual accuracy. A WebSocket-based shared workspace supports multi-user editing, version control, and conflict resolution, while the AI (Artificial Intelligence) modules provide instant feedback to reduce debugging effort. Experimental results on the CodeXGLUE dataset show a 25% improvement in error detection accuracy and a 30% reduction in debugging time compared to baseline systems. Comparative analysis demonstrates that the proposed platform uniquely unifies WebSocket-enabled collaboration and intelligent debugging in a single environment. This work contributes a practical framework for enhancing developer productivity and lays the groundwork for scalable, AI-assisted programming environments.