Collabify Ai: An Intelligent Multi-agent Framework For Real-time Collaborative Software Development And Automated Verification

Abstract

N Effective Collaboration Process In Synchronous Software Engineering Education Has Always Posed A Great Challenge, Especially When Working With Student Teams. Current Collaborative Tools, Including Version Control Tools, Have Failed To Provide The Required Real-time Pedagogical Oversight, Which Enables The Monitoring Of Student Contributions Towards The Software Development Process. In This Paper, We Propose A Novel Intelligent Multi-agent System Called Collabify AI, Which Aims At Improving Collaborative Workspaces With Real-time Monitoring And Verification. We Have Used A Sensor-based Approach, Coupled With Large Language Models, To Monitor The Software Development Process, Thus Maintaining A Dynamic Project Meta-model. In The Proposed Methodology, We Have Used The Concept Of AI Based "Automated Verification Engine" (AVE), Which Continuously Verifies The Real-time Construction Of The Software System With Respect To The Predefined System Design. The Experimental Results Show The Effectiveness Of The Proposed System, As It Increases The Project Awareness Of The Student Team By 35% While Reducing Architectural Inconsistencies. Additionally, The Proposed System Allows The Student Team, Consisting Of Four Members, To Make A Fair Contribution Mapping With The Help Of The AI-based Dashboard. We Conclude That The Transition To Active And Agentic AI Intervention Is A Promising Solution To Tackle Complex Software Engineering Projects In Educational Contexts. It Is The Foundation For Future Autonomous Pair Programming.

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