Aicmt – Auto-split Git changes
Hello HN! I've developed AICMT, a tool that not only generates commit messages but also automatically analyzes and splits your code changes into multiple well-organized commits following best practices. Key features: - Analyzes code changes and splits them into logical commits - Generates descriptive commit messages for each split - Allows specifying number of commits or letting AI decide - Works with any git repository Built with Python 3.10+, available via pip/brew. Demo: https://asciinema.org/a/695352 Github: https://github.com/versun/aicmt I…
Aicmt – Auto-split Git changes launched on December 27, 2024 with 6 votes and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
An AI-powered Git commit assistant command-line tool that helps analyze changes and generate meaningful commit messages - versun/aicmt
An AI-powered Git commit assistant that not only generates commit messages, but also automatically analyzes and splits your code changes into multiple well-organized commits following best practices. brew install versun/tap/aicmt Quick Start Create configuration file .aicmtrc Reference the template file .aicmtrc.template and create .aicmtrc in your home directory. cp .aicmtrc.template ~ /.config/aicmt/.aicmtrc You can also create .aicmtrc in the current directory, which will override the global configuration file (~/.config/aicmt/.aicmtrc) cd /path/to/git/repo touch .aicmtrc Add OpenAI API and other information in the configuration file. Enter your git repository directory and run the aicmt…from github.com
In the maker’s words, at launch
Hello HN! I've developed AICMT, a tool that not only generates commit messages but also automatically analyzes and splits your code changes into multiple well-organized commits following best practices. Key features: - Analyzes code changes and splits them into logical commits - Generates descriptive commit messages…
Does a similar job
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git-lrcFeb 2026 · hexmos.com · ▲300Hi HN, I'm the author of git-lrc, would appreciate some feedback from the community Last year my team started using AI coding tools more heavily, and we found ourselves generating tons of code, but spending less time looking at the stuff that's been generated. We felt like we were losing a bit of grip/understanding of what we were building. Regressions occasionally slipped through. Sometimes changes made it all the way to production only to be reverted later. We tried several AI code review tools, but most operate at PR time. That felt too late. I wanted review to happen while the…
SnapCommitNov 2025 · snapcommit.dev · ▲65Your AI Git sidekick that executes commands and fixes errors

Build the habit of writing meaningful commit messagesNov 2025 · github.com · ▲110Too often I find myself being lazy with commit messages. But I don't want AI to write them for me... only i truly know why i wrote the code i did. So why don't i get AI to help me get that into words from my head? That's what i built: smartcommit asks you questions about your changes, then helps you articulate what you already know into a proper commit message. Captures the what, how, and why. Built this after repeatedly being confused 6 months in a project as to why i made the change i had made... Would love feedback!
diny2025 · github.com · ▲175Hi everyone, I built a CLI tool called *diny* that generates Git commit messages directly from your staged changes. - It runs `git diff` and filters out noise like lockfiles, build artifacts, and binaries. - From the cleaned diff it suggests a clear commit message. - You can confirm or refine the message before committing. Key points: - No setup or API keys required. - Lightweight, local-first workflow. - Supports different lengths and styles (short, normal, long; conventional or simple). - Built in Go with Cobra for a familiar CLI experience. Repo:…
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