https://github.com/royaals/codegram
Codegram is an advanced legacy code converter designed to transform VB, Delphi, and COBOL code into modern languages such as Java, C#, and Python.
https://github.com/royaals/codegram
aws flask mistral mistralai postgresql python reactjs s3 tailwindcss
Last synced: 7 months ago
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Codegram is an advanced legacy code converter designed to transform VB, Delphi, and COBOL code into modern languages such as Java, C#, and Python.
- Host: GitHub
- URL: https://github.com/royaals/codegram
- Owner: royaals
- License: mit
- Created: 2024-06-18T14:08:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-20T16:37:08.000Z (10 months ago)
- Last Synced: 2024-12-20T16:39:29.426Z (10 months ago)
- Topics: aws, flask, mistral, mistralai, postgresql, python, reactjs, s3, tailwindcss
- Language: TypeScript
- Homepage: https://codegram.devprojects.world
- Size: 73.3 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- Code of conduct: .github/CODE_OF_CONDUCT.md
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README
# Codegram - Modernizing Legacy Code
## Overview
Codegram is an advanced legacy code converter designed to transform VB, Delphi, and COBOL code into modern languages such as Java, C#, and Python. Our solution ensures lightning-fast conversion while maintaining code efficiency and readability. Codegram also provides integrated tools for debugging, code optimization, and code explanation to enhance the development experience.
## System Design
## Features
- **Lightning-fast Conversion**: Converts large legacy code files to modern languages within milliseconds using advanced algorithms.
- **Efficiency without Sacrifice**: Ensures converted code is efficient, readable, and adheres to modern coding standards.
- **Integrated Debugging Tools**: Seamless error identification and correction in converted code.
- **Documentation Generator**: Generates structured documentation templates to enhance code comprehension.
- **Code Debugger**: Efficiently identifies and resolves code issues.
- **Email Verification**: Ensures user data security by authenticating email addresses.
- **Conversion History**: Stores conversion input data for future reference.
## Technology Stack
### Frontend
- **React & Vite**: React provides optimized builds, while Vite offers a plugin-like architecture and ECMAScript support.
### Backend
- **Python**: Chosen for its extensive use in AI programs and modules, supported by a vast community.
### AI Model
- **Mistral 8x7b**: Selected as the most capable open-source Large Language Model (LLM) according to our assessments.
### Database
- **PostgreSQL**: Selected for its scalability and low latency.
### Storage
- **AWS S3**: Used for storing converted code and file conversion history.
### Tools Developed:
1. **Conversion History**
- **Description**: This tool keeps a log of all conversion input data, allowing developers to track and review their conversion activities.
- **Features**:
- Stores conversion input data with timestamps.
- Provides an easy-to-navigate history of past conversions.
- Facilitates tracking and auditing of data transformations.
2. **Documentation Generator**
- **Description**: Automatically generates structured documentation templates for code, improving comprehension and maintainability.
- **Features**:
- Extracts key information from code comments and structure.
- Creates clear and concise documentation templates.
- Supports various documentation standards and formats (e.g., Javadoc, Doxygen).
3. **Code Debugger**
- **Description**: An intelligent tool that identifies and helps resolve issues in code efficiently.
- **Features**:
- Detects syntax and logical errors in code.
- Provides detailed error descriptions and potential fixes.
- Integrates with popular development environments.