Gptcommit : A script tool for automating the generation of Git commit messages.

Gptcommit

AI development assistant AI code assistant #Git #Automation #Code Submissions #OpenAI #GPT Model Fresh Picks Open Source

Overview :

GPTCommit is an automated Git commit tool that utilizes OpenAI's GPT-4o model to analyze code changes and automatically generate commit messages. It simplifies the code submission process by intelligently analyzing code changes, quickly generating appropriate commit messages, and enhancing development efficiency.

Target Users :

GPTCommit is primarily aimed at software developers, especially teams or individuals who need to frequently submit code changes. By automating the generation of commit messages, it reduces the time spent on writing commit messages, allowing developers to focus more on the code itself.

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Use Cases

Developers can use GPTCommit to quickly generate commit messages for daily code submissions.

During team collaboration, each member uses GPTCommit to maintain consistency in commit messages.

GPTCommit assists in automatically recording detailed information for each code change during large-scale project development.

Features

Automatically detect code changes that haven't been committed

Use the GPT-4o model to generate commit messages

Automatically execute 'git add .' and 'git commit -m {message}'

Support specifying the language of commit messages via command-line parameters

Configurations are simple and easy to integrate into existing workflows

Support adding the script to the system PATH for convenience when using it in any directory

How to Use

1. Clone the GPTCommit repository locally.

2. Navigate to the project directory.

3. Ensure that jq is installed to handle JSON data. If it is not installed, you can install it using the command.

4. Configure the OpenAI API key in the gptcommit.sh file.

5. Set up proxies and OpenAI API endpoints as needed.

6. Run the gptcommit.sh script in the Git working directory.

7. The script will automatically check the state of the working directory, get the uncommitted changes, call the OpenAI API to generate commit messages, and add the changes to the staging area and commit them.