dravid 0.6.0

A CLI coding super-framework using AI

Dravid (DRD) - AI-Powered CLI Coding Framework

Dravid (DRD) is an advanced, AI-powered CLI coding framework(in alpha) designed to streamline and enhance the development process. It leverages artificial intelligence to assist developers in various tasks, from project setup to code generation and file management.

Features

• AI-powered CLI for efficient coding and project management
• Image query handling capabilities
• Robust file operations and metadata management
• Integration with external APIs (Dravid API)
• Built-in development server with file monitoring
• Comprehensive error handling and reporting
• Extensible architecture for easy feature additions

Installation

Prerequisites

• Python 3.7+
• pip (Python package installer)
• CLAUDE_API_KEY (environment variable should be set)

To install Dravid, run the following command:

pip install dravid

Usage

After installation, you can use the drd command directly from your terminal. Here are some common usage examples:

NOTE: for better results, go step by step and communicate clearly. You can also define project_guidelines.txt which will be referenced in the main query, you can use this to instruct on how the code should ge generated etc.

Also, any png or jpg files that will be generated and needs to be replaced will have placeholder prefix, so you know that it has to be replaced.

Basic Query

Execute a Dravid command:

drd "create a nextjs project"

The above command loads project context or project guidelines if they exist, along with any relevant file content in its context.

With larger text (heredoc)

When you have larger string or if you want to copy paste a error stack with double quotes etc, please use this.

drd <<EOF
Fix this error:
....
EOF

Ask Questions or Generate Content

Ask questions or generate content:

drd --ask "how is the weather"

Generate a file directly:

drd --ask "create a MIT LICENSE file, just the file, don't respond with anything else" >> LICENSE

--ask is much faster than the execute command because it doesn't load project context or project guidelines (you can create your own project_guidelines.txt)

Image-based Queries

Use image references in your queries:

drd "make the home image similar to the image" --image "~/Downloads/reference.png"

Self healing fix

You can run the development server with automatic error fixing.

This command will start your dev server (as in the drd.json) and then continually fix any errors and then restart, you can sitback and sip coffee :)

drd --hf

or

drd --hot-fix

Metadata Management

To use Dravid cli in an existing project you would have to initialize metadata (drd.json)

This script will ignore files in your .gitgnore and recursively read and give description for each of the file

drd --meta-init

or

drd --i

Note: make sure to include as many things in .gitignore that are not relevant. This would make multiple LLM calls.

When you have added some files or removed files on your own for some reason and you want Dravid to know about it, you have to run this:

drd --meta-add "modified the about page"

or

drd --a "added users api"

This would update the drd.json

File-specific Queries

Ask for suggestions on specific files:

drd --ask "can you suggest how to refactor this file" --file "src/main.py"

For more detailed usage instructions and options, use the help command:

drd --help

Project Structure

• src/drd/: Main source code directory
  • cli/: Command-line interface modules
  • api/: API interaction and parsing modules
  • utils/: Utility functions and helpers
  • prompts/: AI prompt templates
  • metadata/: Project metadata management
• tests/: Test suite for the project

Contributing

We welcome contributions to Dravid! Please see our Contributing Guide for more details on how to get started.

Development

To install Dravid, you need Python 3.7+ and Poetry. Follow these steps:

1. Clone the repository:

   git clone https://github.com/vysakh0/dravid.git
   cd dravid
   

2. Install dependencies using Poetry:

   poetry install
   

3. Set up environment variables: Create a .env file in the project root and add your API keys:

   CLAUDE_API_KEY=your_claude_api_key_here
   

4. You can use Dravid to add features or functionalities to the project. As this project uses drd.json and has used Dravid to build Dravid.

poetry run drd "refactor api_utils"

or

poetry run drd "add tests for utils/utils"

poetry run drd --ask "who are you"

Testing

After adding some functionalities, if you want to test how it works, I suggest creating a directory called myapp or testapp or test-app in the root of this project. These folder names are already in .gitignore.

cd myapp
poetry run drd "create a simple elixir project"

To run the test suite:

poetry run test

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Special thanks to the creators of the Claude AI model, which powers many of Dravid's capabilities

Contact

For questions, suggestions, or issues, please open an issue on the GitHub repository or contact the maintainers directly.

Happy coding with Dravid!