codeflash-ai/codeflash

AI Summary: Refactor ten large Python functions within the Codeflash project to improve code readability, maintainability, and potentially performance. This involves breaking down the functions into smaller, more manageable units while ensuring functionality remains unchanged. The functions are spread across several modules within the project.

AI Summary: Add type hints to untyped functions within a Python project to improve code quality. This involves identifying functions lacking type hints, adding appropriate hints, and potentially addressing any resulting type errors. The project uses Codeflash, an AI-powered code optimization tool, which may assist in this process.

AI Summary: Add docstrings to any missing public functions within the Codeflash Python project to improve code readability and understanding for contributors. This involves identifying functions lacking docstrings and writing clear and concise documentation explaining their purpose, parameters, and return values.

AI Summary: Create issue templates for the Codeflash open-source repository to improve the clarity and consistency of issues and pull requests submitted by the community. This involves designing templates that guide users in providing necessary information, such as clear descriptions, steps to reproduce, and expected behavior.

AI Summary: Create a CONTRIBUTING.md file for the Codeflash project. This guide should detail how to contribute to the project, including instructions for using the unpackaged repository in editable mode for local optimization of other repositories.