Authors : Nivetha A.; Sarmitha S.; Vijayaadithyan V. G.; Premkumar Murugiah

Volume/Issue : Volume 9 - 2024, Issue 4 - April

Google Scholar : https://tinyurl.com/pkdr5dzz

DOI : https://doi.org/10.38124/ijisrt/24apr1132

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Navigating and comprehending varied code bases is a major difficulty in the quickly changing software development market. "Code Companion: A Cross Repository Intelligent Code Assistant" uses cutting edge artificial intelligence-driven chat bot technology to solve this problem. The goal of this system is to give developers a user-friendly interface via which they can query code functionality, structure, and other relevant data from various sources. The project dramatically improves the effectiveness and accessibility of coding skills by utilizing cutting-edge methods in natural language processing, transfer learning, and semantic search. "Code Companion" changes the game for intelligent code help by lowering the learning curve for new projects and encouraging teamwork among developers. This is a significant step toward more connected and understandable digital development environments.

Keywords : Transfer Learning, Artificial Intelligence, Natural Language Processing, Semantic Search, Vector Database, Cross- Repository Analysis, Chat Bot, Large Language Model.

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