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DaceStudio: AI-Driven Code Editing for Next-Gen Software Development

Authors

  • Ethen Biju

    Author
  • Chris Mathew

    Author
  • Alina Ann Joseph

    Author
  • Diya Kalyan

    Author
  • Ria Mathews

    Author

Abstract

Modern software development demands efficiency, accuracy, and seamless collaboration. DaceStudio is an AI assisted code editor designed to enhance developer productivity through intelligent code assistance and seamless real-time collaboration. By integrating AI-driven features such as context-aware code suggestions, automated refactoring, and bug detection, DaceStudio minimizes manual effort and improves code quality. Its real-time collaboration framework enables multiple developers to work synchronously on the same codebase, fostering efficiency and reducing workflow disruptions. Additionally, features like automated documentation generation, intelligent search, and workspace customization optimize the development experience, reducing cognitive load and enhancing usability. Unlike traditional code editors, DaceStudio leverages AI to provide a dynamic, interactive development environment that not only assists in coding but also adapts to individual developer workflows. This paper explores the architecture and design principles behind DaceStudio, highlighting how its AI-powered assistance and collaborative capabilities transform software development by bridging the gap between conventional programming tools and next-generation intelligent coding environments. Through comparative analysis and performance evaluations, we demonstrate its advantages in improving efficiency, code quality, and developer experience.

Keywords:

AI-assisted code editing, Git integration, intelligent code completion, LiveKit,, Microsoft Copilot, Rust-based editor
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Published

21-04-2026

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Articles

How to Cite

[1]
E. Biju, C. Mathew, A. A. Joseph, D. Kalyan, and R. Mathews, “DaceStudio: AI-Driven Code Editing for Next-Gen Software Development”, IJERA, vol. 5, no. 1, pp. 395–402, Apr. 2026, Accessed: Apr. 22, 2026. [Online]. Available: https://ijera.in/index.php/IJERA/article/view/265

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