Skip to main content

A CLI tool that automatically generates README files using AI

Project description

Codexium

A tool to auto-generate a professional README for your project.

Installation

To install Codexium, use pip:

pip install codexium

Usage

Navigate to your project directory and run the following command:

codexium .

Replace . with the path to your project folder if it's not in the current directory.

Codexium will scan for relevant files, compile them into a format suitable for a README, and then prompt an AI model to generate a comprehensive and well-written README.md file for you. The resulting file will be saved in the root of your project folder.

Development

You can make changes to the code and test it locally by running:

python -m codexium .

Contributing

Contributions are welcome! If you'd like to contribute, please fork this repository, create a new branch for your feature or bugfix, and submit a pull request when ready.

Contact

For any questions or inquiries, feel free to open an issue on this repository or reach out via Github


This project is a simple example of using an AI model to generate documentation based on provided code snippets. It makes use of the Click and Requests libraries in Python.

For further information about this project, refer to the source code or open an issue on this repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

codexium-0.2.0.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

codexium-0.2.0-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file codexium-0.2.0.tar.gz.

File metadata

  • Download URL: codexium-0.2.0.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for codexium-0.2.0.tar.gz
Algorithm Hash digest
SHA256 9f9f869264f476112e09f8a6ea28c42aa57894544bfa4329f503f91a68a48615
MD5 c9ddae4d383cacdef59bc7158618a3d3
BLAKE2b-256 4e9ad2730cdc37dc2a27b3783bd41c8e3e1066788bbbd81ff6ca209988dca1fe

See more details on using hashes here.

File details

Details for the file codexium-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: codexium-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 3.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for codexium-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f2947f3cbdb56fec0b33851d3dd1e5ed1920db39a76a8ae2695893457300a0e8
MD5 0f0cfb8a9be1588814d318fb46e11535
BLAKE2b-256 bc319064d63b6785ffca39a3bdee193f9c480bca3838581688744b878b7e363c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page