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@article{186566,
        author = {Pradnya Walunj and Prof Digambar Shelke and Jitesh yadav and Aditya Koli and Bhaiyasaheb suryawanshi},
        title = {Personal PC assistant with agentic support to VS CODE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1956-1959},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186566},
        abstract = {In the modern development environment, programmers often face repetitive tasks such as code generation, debugging, file management, and documentation.
This project, titled “Personal PC Assistant with Agentic Support to VS Code,” aims to create an intelligent, AI-driven personal assistant capable of automating these activities directly within the Visual Studio Code environment.
The proposed system integrates voice and text-based interaction to understand natural language commands and perform context-aware actions such as running scripts, managing projects, creating files, or suggesting code snippets. Using Python as the core technology stack, the assistant leverages APIs and local machine learning models to provide real-time responses and adaptive support for developers.
This assistant not only enhances coding productivity but also simplifies the overall user experience by bridging the gap between human intent and system execution. The system’s agentic support allows it to act independently on the developer’s behalf while maintaining user control and transparency. The project demonstrates how intelligent automation can be integrated into standard development workflows to reduce time, effort, and cognitive load.},
        keywords = {},
        month = {November},
        }