Gen AI Coding Assistant

Project Brief

CodeGener is an intelligent, adaptable Python development assistant designed to streamline coding processes across different organizations. The platform provides contextualized code suggestions, adaptive debugging, and knowledge sharing capabilities to support developers.

Value & Impact

An intelligent GenAI coding assistant that evolves with your organization.

Key Features

• Code Suggestions: GenAI provides real-time, context-aware code suggestions, helping users write Python code faster and more accurately.
• Adaptive Debugging: Offers instant debugging support based on code context, reducing errors and troubleshooting time.
• Customizable Assistants: Tailors support based on the user’s environment, incorporating company-specific tools and libraries.
• Integrated Code Interpreter: Users can run code snippets directly within the assistant, getting immediate results and feedback.
• Knowledge Sharing: Centralized Python knowledge base with updates across all users, improving collaboration and coding standards.

Solution & Architecture

• CodeGener is built on a highly modular and scalable microservice architecture to accommodate various enterprise needs.
• The backend is powered by Python and Flask, handling API requests and business logic.
• MongoDB is used as the primary database for fast, flexible data storage, supporting real-time customizations.
• The Next.js frontend delivers a responsive, interactive user experience.
• Gemini for contextual understanding of code and LLaMA for language-based code analysis and generation.
• AWS Lambda is leveraged for serverless functions, allowing on-demand scalability for tasks such as model inferencing.

Technical Implementation

Backend with Flask: API endpoints for data input and proposal generation. Database: MongoDB for managing RFP data, historical responses, and feedback. AI Models Integration: Leveraging OpenAI and Gemini for proposal content generation, powered by NLP algorithms to ensure context and customization.