menderbot 0.0.4

The AI-powered command line tool for working with legacy code

Menderbot

The AI-powered command line tool for working with legacy code. Designed based on the principles of the Mechanized Mending Manifesto.

Status

Menderbot is usable in development of itself - a very small codebase. For instance, it's used on this project for first drafts of commit messages, it added most of the type annotations, and chat usually gives relevant answers. On codebases of an interesting size (> 10K lines) there is still much work to do.

Commands implemented (-ish):

• menderbot ask: Ask a question about the codebase
• menderbot chat: Interactively chat about the codebase
• menderbot commit: Git commit the current changeset with a pre-populated commit message
• menderbot diff: Summarize the differences between two versions of a codebase
• menderbot doc: Generate documentation for the existing code (Python only)
• menderbot review: Review a code block or changeset and provide feedback
• menderbot type: Insert type hints (Python only)
• menderbot ingest: Index the current state of the repo for ask and chat commands
• menderbot check: Verify we have what we need to run

System requirements

• git
• Python 3.9+
• Make (you already have it)
• The environment variable OPENAI_API_KEY set to a valid OpenAI API Key.

Running

Clone the project...

Install an editable version (this uses pip install -e .):

git clone [e-mail]:craftvscruft/menderbot.git

make install

Then run with menderbot in any repo.

Installing from pip

You can also install directly from pip and avoid cloning the repo:

pip install menderbot --upgrade

Running with Docker

If you don't have Python, you can run from Docker using the supplied Dockerfile. Run make docker to build the image and print instructions on how to run it.

Developing

Clone the project...

git clone [e-mail]:craftvscruft/menderbot.git

Then you can initialize your Python environment using venv.

make venv

source venv/bin/activate

pip install "." ".[dev]"

If you want to re-generate the Antlr parsers, see PARSERS.md, but you probably won't need to.

Testing

Formatting, linting, tests, and type-checking can all be run with make, check the Makefile for the underlying commands. Run before commiting, or CI will bark :)

make check

Or you can run individual steps

# Run pytest
make test

# Run pytest with a coverage report
make coverage

# Run mypy
make type

# Run pylint
make lint

# Run black and isort
make format

Author

👤 Ray Myers

• YouTube: Craft vs Cruft
• Twitter: @lambdapocalypse
• GitHub: @raymyers
• LinkedIn: @cadrlife

🤝 Contributing

Contributions, issues and feature requests are welcome!

Feel free to check issues page. You can also take a look at the contributing guide.

Show your support

Give a ⭐️ if this project helped you!

Acknowledgements

• OpenAI GPT and Ada models
• LlamaIndex, an LLM data framework
• Antlr parser generator

📝 License

Copyright © 2023 Ray Myers.

This project is Apache 2 licensed.