This paper presents a comprehensive analysis and implementation of Code Mate, an AI-powered platform designed to fundamentally enhance coding education in university and technical environments. Existing coding platforms focus primarily on problem-solving but lack real-time collaboration tools and mechanisms to maintain the integrity of student work. Code Mate solves these gaps by generating unique coding problems with AI for each attempt, enabling real-time pair programming, enforcing robust anti-cheating mechanisms, and providing guided hints at strategic intervals. The platform leverages modern web technologies and OpenAI integrations to deliver a secure, inter active, and highly adaptive environment that engages learners and educators alike. Code Mate stands out for its focus on teamwork, integrity, and the ability to track progress, offering a scalable solution for coding practice and assessments. This paper details the system’s architecture, methodology, functional modules, evaluation strategy, limitations, and future roadmap.