QUBIT

Abstract

QUBIT (Quality Unit-Based Intelligent Testing) utilizes the use of Large Language Models (LLMs) to boost-up the potential of not only developers but all coding enthusiasts. Its primary focus revolves around Code Review, an integral step in software development. This project comprises of two distinct parts. The first component is an extension specifically designed for Visual Code Studio. It seamlessly integrates with the user's development environment, offering real-time Code Review, Code Rating, Bug detection, and Code Refactoring. Moreover, it also generates test cases for robust development along with Code Review. It allows the selection of multiple files for the sake of better efficiency. The second component of QUBIT manifests as a website, also utilizing the prowess of LLMs, specifically Gemini, to conduct features involving, Code Review Code Rating, Bug detection, Code Refactoring. The website not just mirrors the capabilities of the VS Code extension like a chatbot acting as a virtual assistant which offers dynamic suggestions, it also introduces additional features. It includes a user-friendly dashboard; QUBIT community and customizable profiles enhance the overall user experience. Prompt engineering serves as the backbone, facilitating seamless interactions with the LLMS. Gemini is utilized for all the functionalities other than test case generation, which harnesses the use of Llama2. QUBIT not only increases the efficiency of developers but also explores the frontier of AI-driven coding assistance. Both components of this project aspire to redefine the landscape of coding tools.