AiDebug | Project Aware CLI Coding Assistant

Community
, , , ,
1

AIDebug Console

AIDebug Console is a Python-based command line application that leverages the power of OpenAI’s GPT models to assist with debugging and developing software projects. It provides a user-friendly interface for interacting with your codebase, running your project, and even debugging your code with the help of AI.

Features

  • Project Management: Select and deselect project files and directories.
  • Project Configuration: Configure specific project details such as language, type, framework, and run command.
  • Code Execution: Run your project directly from the console. (Automatically catches errors and asks user if they want to debug)
  • AI Debugging: Debug your project with the help of OpenAI’s GPT Models.
  • AI Feature Request: Request a feature for your project from OpenAI’s GPT Models.
  • AI Code Documentation: Get a README.md file for your project’s GitHub repository.

Installation

Install With Pip

pip install aidebug

Manual Build and Install

  1. Clone the repository to your local machine.
  2. Navigate to the project directory.
  3. Install the required Python packages using pip:
pip install setuptools wheel
  1. Build the project with setup.py:
python setup.py sdist bdist_wheel
  1. Change directory to the built project:
cd dist
  1. Install the built .whl file with pip:
pip install aidebug-0.0.8-py3-none-any.whl

Usage

  1. Set the necessary environment variables. You need to provide your OpenAI API key:
export OPENAI_API_KEY=your_openai_api_key
  1. Run the project:
aidebug
  1. Use the help command to see a list of available commands.

Environment Variables

  • OPENAI_API_HOST: The API host for OpenAI. Default is https://api.openai.com.
  • OPENAI_API_KEY: Your OpenAI API key.

Commands

Here is a brief explanation of the commands available in the AIDebug Console:

  • cd <directory>: Change the current working directory.
  • exit: Exit the AIDebug Console.
  • project select: Select project files and directories.
  • project deselect: Unselect files and directories by id.
  • project run: Run the project.
  • project files paths: Prints selected files paths.
  • project files contents: Prints selected files path and contents.
  • config project language <language>: Set the programming language of your project.
  • config project type: Set the type of your project.
  • config project framework: Set the framework that your project is using.
  • config project run <command>: Set the command used to run your project.
  • config openai model <model>: Set the OpenAI model to be used.
  • config openai temperature <temperature>: Set the OpenAI model’s temperature.
  • debug <error>: Debug your project with the help of OpenAI’s GPT Models.
  • feature <feature_request>: Request a feature for your project from OpenAI’s GPT Models.
  • readme <optional_message>: Request a README.md file for your project’s GitHub repository from OpenAI’s GPT Models.

Remember to replace <directory>, <language>, <command>, <model>, <temperature>, <error>, <feature_request>, and <optional_message> with your actual values.

Running System Commands

AIDebug Console allows you to run native system commands directly from the shell. Simply input the desired command, and it will be executed in the console.

For example, to list the files in the current directory, you can use the command ls:

> ls

This feature provides flexibility and convenience for running various system tasks alongside your project debugging and development.

1 Like
2

Thanks for sharing with us.

We ask that you keep updates about the tool to this thread, so it’s easier for us to keep updated. Thanks!

Hope you stick around. We’ve got a great dev community garden growing, and it sounds like you’d fit right in.

1 Like