VibeGit
I built VibeGit to eliminate the friction of organizing large, interwoven diffs after long development sessions. The CLI command vibegit commit invokes an LLM (Gemini 2.5 Flash by default, GPT-4o and others supported) to examine each hunk, group semantically related changes across files, and produce a sequence of logical, stylistically consistent commits with clear messages. The workflow is configurable—fully automatic, interactive review, or summary-only—and requires only Python 3.11+. MIT-licensed; feedback and contributions are welcome.
VibeGit launched on May 7, 2025 with 18 votes, #882 of 7,905 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Automagically group and commit semantically related changes in your Git repository with AI.
Automagically group and commit semantically related changes in your Git repository with AI. - kklemon/vibegit
Turn a busy Git working tree into focused, reviewable commits. An example working tree before and after VibeGit groups the changes. During a long coding session, unrelated changes often accumulate in the same working tree. Turning them into small, coherent commits means repeatedly inspecting hunks, staging them, and writing matching commit messages. vibegit commit VibeGit analyzes the diff, active branch, and recent commit history. It proposes semantically related groups of changes with generated commit messages, then lets you review or apply them. VibeGit requires a repository with at least one commit. In a new repository, you can create one with git commit --allow-empty -m "initial…from github.com
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