AI Scripting Language (ASL) Project

Overview

AI Scripting Language (ASL) is a framework for creating advanced script prompts for AI, enabling complex tasks, development, analysis, testing, and documentation.

Project Structure

.
├── Dockerfile             # Container setup for COBOL environment
├── README.md              # Project documentation
├── customer_report.cbl    # Main COBOL program
├── test_suite/
│   ├── customer_report_test.cbl
│   ├── customer_report_test_suite.cbl
│   └── customer_report_test_suite_coverage.cbl
├── scripts/
│   ├── test_runner.py
│   └── test_integration.py
└── docs/
    └── documentation.md

Features

• COBOL Integration with Modern Tools
• Comprehensive Test Suite
• Test Coverage Reporting
• Docker Environment
• GitHub Actions Integration
• Documentation Generation

Setup Instructions

1. Clone the repository
2. Build the Docker container:

   docker build -t ai_script_language .

3. Run the test suite:

   docker run ai_script_language

Testing Framework

The project includes a comprehensive testing framework with:

• Unit Tests
• Integration Tests
• Coverage Reporting
• Automated Test Runner

Development Workflow

1. Write COBOL code
2. Create test cases
3. Run test suite with coverage
4. Review generated reports
5. Update documentation

Open Source Commitment

This project is entirely open source. We believe in the free exchange of ideas and invite collaboration from researchers, developers, and thinkers worldwide.

How to Contribute

1. View the CONTRIBUTING.md file for guidelines.
2. Fork the repository
3. Create your feature branch
4. Commit your changes
5. Push to the branch
6. Create a new Pull Request

We welcome contributions that align with our principles and push the boundaries of quantum energy, computing, ai, and now encrytion.

License

This project is licensed under the MIT License, promoting open collaboration and innovation.