AI-Assisted Code Editors with Real-Time Collaboration: A Comprehensive Review

AI-Assisted Code Editors with Real-Time Collaboration: A Comprehensive Review

Narasimha Dixit1, Aniket Patil2, Ayaan Shilledar3 , Krutika Sambranikar4,Prashant Chavan5

1Department of Computer Science(AIML),KLS Vishwanathrao Deshpande Institute Of Technology Haliyal,India

2Department of Computer Science(AIML),KLS Vishwanathrao Deshpande Institute Of Technology Haliyal,India

3Department of Computer Science(AIML),KLS Vishwanathrao Deshpande Institute Of Technology Haliyal,India

4Department of Computer Science(AIML),KLS Vishwanathrao Deshpande Institute Of Technology Haliyal,India

5Department of Computer Science(AIML),KLS Vishwanathrao Deshpande Institute Of Technology Haliyal,India

Abstract - The rapid growth of distributed software development requires advanced collaborative coding tools to fulfill market demands. AI-assisted code editors serve as revolutionary platforms which transform developer teamwork through instant code creation capabilities. The editors resolve essential code synchronization and developer productivity and quality assurance challenges through their real-time collaboration system and generative AI capabilities. The development process depends on real-time databases and collaborative frameworks which enable users to edit documents without any difficulties when working with multiple users. The system enables developers to work together through live code synchronization and cursor tracking and integrated chat systems and autosave features which prevent workflow interruptions and conflicts. The AI-assisted code editors achieve their unique status through their ability to merge large language models (LLMs) with generative AI technologies. The systems deliver three essential features which include intelligent code recommendations and immediate syntax error detection with automatic correction and automated documentation creation for intricate functions. The system decreases developer workload while making code more understandable and helping teams maintain professional coding standards. The coding environment allows developers to access AI assistants which function as interactive tools. The real-time assistants help developers solve coding questions and provide optimization recommendations and debugging assistance and brainstorming support. The platforms operate with robust extensible code editor frameworks which allow users to work with multiple programming languages and customize their interface through themes and dynamic file organization for efficient project management. AI-powered collaborative editors unite real-time teamwork with intelligent automation through their design inspiration from code generation and AI-assisted development tools. The tools help teams generate superior code while establishing conditions for AI-assisted innovation to enhance team member collaboration.

Key Words:  AI code editor, real-time collaboration, generative-AI, large language models (LLM), smart code suggestions, auto- documentation, syntax error detection, collaborative development tools, developer productivity.