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Codegenie AI

Author

Listed:
  • Shubhankar Bugad
  • Vallabh Gargade
  • Harshal Garad
  • Yashraj Kale
  • Snehal
  • S. Ralebhat

Abstract

CodeGenie AI is an intelligent web-based coding assistant designed to simplify programming, debugging, and learning using Artificial Intelligence. The system enables users to generate Python code from natural language prompts, reducing manual coding effort and improving productivity. It integrates AI-based code generation with real-time syntax analysis using a custom compiler, ensuring that generated code is both accurate and executable. The platform also includes a secure sandboxed execution environment that allows users to run code safely without affecting the host system. Additionally, CodeGenie AI incorporates a chatbot module that assists users with programming queries, debugging suggestions, and conceptual explanations. A unique feature of the system is its voice input and output capability, which enhances accessibility and enables hands-free coding, making it suitable for visually impaired users. The system is designed using a modular and scalable architecture, allowing future enhancements such as multi-language support and advanced debugging features. By combining AI intelligence, compiler validation, and interactive learning tools, CodeGenie AI overcomes the limitations of traditional IDEs. It provides a unified platform for coding, execution, debugging, and learning, thereby improving efficiency and making programming more accessible for beginners and professionals alike.

Suggested Citation

  • Shubhankar Bugad & Vallabh Gargade & Harshal Garad & Yashraj Kale & Snehal & S. Ralebhat, 2026. "Codegenie AI," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12(3), pages 807-814, June.
  • Handle: RePEc:jbh:ijsrcs:v12:y2026:i3:id:2089
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26123382
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