Design and Implementation of a Real-Time Collaborative Coding Platform Enhanced by AI

With the growing shift toward distributed software development, real-time collaborative coding environments have become increasingly important. However, many existing solutions either rely on screen sharing or lack integrated intelligent assistance, limiting efficiency and interaction at the code level. This work presents the design and development of a web-based collaborative coding platform that enables multiple users to interact with a shared terminal in real time. The system is built using a Flask-based backend with WebSocket communication to handle low-latency, bidirectional data transfer for code synchronization. A session-based architecture is implemented to manage multiple users, where each session maintains a consistent code state across clients. To support direct communication, WebRTC is integrated for peer-to-peer voice and video interaction. The platform also incorporates a private AI assistant module for each user, designed to provide contextual code suggestions, debugging hints, and basic code generation without interfering with shared collaboration. To maintain consistency during concurrent edits, a lightweight synchronization mechanism is used to propagate incremental updates across connected clients. Basic testing indicates that the system maintains near real-time synchronization with minimal perceptible delay under typical usage conditions. The proposed platform demonstrates a unified approach to combining collaborative editing, communication, and intelligent assistance, making it suitable for educational use, technical interviews, and small-scale distributed development.