Design and Implementation of a Multi-Modal, Agentic Code Companion System (ICC) using Fine-Tuned Code LLMs and Structured Visualization
  • Author(s): Kunal Kumar Nath; Samridh Chauhan; Tanmay Jadhav; Pranit Virkar
  • Paper ID: 1711930
  • Page: 659-669
  • Published Date: 12-11-2025
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 5 November-2025
Abstract

This paper proposes the architectural design and implementation strategy for the Intelligent Code Companion (ICC) system, a novel platform engineered to process multi- modal code queries (text and image) and generate comprehensive, structured outputs. The core innovation lies in a hybrid LLM Agent architecture that coordinates specialized tools, specifically Optical Character Recognition (OCR) for handling photographed code inputs and a Structured Output Generator for creating dynamic, animated flowcharts. The system deviates from using underpowered base models, advocating instead for the instruction fine- tuning of a high-performing yet resource- efficient model, such as the StarCoder2-3B model, utilizing Quantized Low-rank Adaptation (QLoRA).

Keywords

Large Language Models, Code Generation, Multi-Modality, Optical Character Recognition (OCR), Agentic Systems, Structured Output, QLoRA Fine-Tuning, Full- Stack Architecture, FastAPI, Perplexity UI.

Citations

IRE Journals:
Kunal Kumar Nath, Samridh Chauhan, Tanmay Jadhav, Pranit Virkar "Design and Implementation of a Multi-Modal, Agentic Code Companion System (ICC) using Fine-Tuned Code LLMs and Structured Visualization" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 659-669 https://doi.org/10.64388/IREV9I5-1711930

IEEE:
Kunal Kumar Nath, Samridh Chauhan, Tanmay Jadhav, Pranit Virkar "Design and Implementation of a Multi-Modal, Agentic Code Companion System (ICC) using Fine-Tuned Code LLMs and Structured Visualization" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1711930