Show HN: Gcommit – clustering code changes semantically (github.com)

A new project titled **Gcommit** has been introduced, featuring a suite of custom Git commands that leverage AI to enhance the commit process. This tool offers AI-powered workflows for generating concise commit messages and clustering code changes semantically. Users can install it via Homebrew and will benefit from commands like `git mcommit`, which generates a single AI-driven commit message for staged changes, and `git gcommit`, which intelligently clusters related changes and commits them separately. The interactive UI allows users to adjust commit thresholds and visualize changes, making it more user-friendly. The significance of Gcommit lies in its potential to streamline and improve the commit process, especially for developers managing complex codebases. By analyzing staged changes and utilizing OpenAI's models for semantic clustering, it not only reduces the manual effort of creating meaningful commit messages but also organizes changes into logically grouped commits. This could lead to enhanced collaboration and clearer project histories, particularly in larger teams. With support for multiple programming languages and sophisticated functionalities like hierarchical clustering and interactive visualization, Gcommit represents a notable advancement in how developers might manage code revisions in the era of AI.