Surface Editor

[ About the Project ]

CodeEditor+LLMs(Large Language Models):

CodeEditor+LLMs is a state-of-the-art Code Editor that leverages the power of large language models to assist in coding. By utilizing a vector database, it establishes intricate relationships between files and code segments. This advanced interconnectivity is designed to significantly enhance the efficiency of developers by providing context-aware insights and coding suggestions.

AI-Enhanced UI:

This is a specialized UI designed specifically for AI supported application. While most AI applications focus primarily on functionality, they often overlook the importance of a better user experience. We possess incredibly powerful LLMs, but our interactions with them still resemble the command-line interface era. I believe that instead of merely providing code editors or IDE extensions for LLMs, we need a comprehensive overhaul of the entire code editor UI to align with the new paradigm of AI interaction in this era.

Built with

[ To Developers ]

UI Prototype

Required Installation

Recommended Installation for further development

Setup Process

Instructions to run this application on a local machine

1.Run the whole application in a docker container

• Setup using Docker
  • run docker-compose up -d

OR

2.Run the frontend and backend applications separately

• Setup Frontend Testing Application

  • To Frontend Testing Application Directory cd frontend_application/component_lib_testing_application
  • To install required modules npm install
  • Run Frontend Testing Application npm start
  • Heading to the Application http://localhost:3000/

• Setup Backend Code Server

  • Download .env file 'https://drive.google.com/file/d/10x2XNaH_Ko8ncjUSoqfYZSdqy3UwZxKG/view?usp=sharing' and move this file under Directory backend_services/code_services (make sure this file to be renamed as '.env')
  • To Backend File Server Directory cd backend_services/code_services
  • To install required modules npm install
  • Run Backend File Server npm start
  • Server will running on http://localhost:8200/ in development mode

• Setup Backend File Server(optional)

  • To Backend File Server Directory cd backend_services/file_services
  • To install required modules npm install
  • Run Backend File Server npm start
  • Server will running on http://localhost:8000/ in development mode

[ Follow this Project ]