This project provides a low-code development tool integrated with ChatGPT and other Large Language Models (LLMs) within the VS Code environment. It aims to accelerate development by automating code generation, configuration, and translation tasks, targeting developers seeking to boost productivity and reduce manual coding effort.

How It Works

The tool leverages LLMs, specifically mentioning ChatGPT, to perform various development-related tasks. It utilizes OCR (Optical Character Recognition) to extract information from screenshots, such as table headers or query areas, and then uses this data to initialize configurations for UI components like forms and tables. LLMs are employed for tasks like translating text, generating code from natural language descriptions, and creating code templates for common patterns like CRUD operations.

Quick Start & Requirements

• Install via VS Code Extensions marketplace.
• Requires VS Code.
• Further LLM integrations and materials can be found at https://github.com/lowcode-scaffold/lowcode-materials.

Highlighted Details

• Automates code generation and configuration using LLMs and OCR.
• Supports translation of Chinese text to formats like camelCase.
• Enables creation of code templates and CRUD interfaces.
• Demonstrates a no-code approach for generating functional components.

Maintenance & Community

Information on community, roadmap, or specific contributors is not detailed in the provided README.

Licensing & Compatibility

The license is not specified in the provided README.

Limitations & Caveats

The README notes that documentation is not frequently updated, and users should refer to release notes for new feature usage. The effectiveness of OCR and LLM integrations may vary based on input quality and model performance.