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AI Commits

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Automate your Git commit messages with AI, never write one again.

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Tracked since2026
0 reviews tracked

The Bottom Line

Entry price

Free, no paid tier

Biggest pro

Automates a repetitive development task

Biggest con

Requires Node.js v22 or higher

TL;DR - AI Commits

  • Generates Git commit messages using AI.
  • Integrates with your existing Git workflow via CLI or hook.
  • Supports multiple AI providers and conventional commits.
Pricing: Free forever
Best for: Individuals & startups

What is AI Commits?

Editorial review
AI Commits is a command-line interface (CLI) tool that leverages artificial intelligence to automatically generate Git commit messages based on your staged changes. It integrates directly into your development workflow, allowing you to focus on coding while the AI handles the commit message generation. This tool is designed for developers who want to streamline their Git workflow, ensure consistent and descriptive commit messages, and save time. It supports various AI providers like TogetherAI, OpenAI, OpenRouter, and local Ollama instances, offering flexibility in choosing your preferred AI backend. You can also configure it for CI/CD environments using environment variables. Key benefits include increased productivity by eliminating the need to manually craft commit messages, improved commit history readability through AI-generated descriptions, and support for conventional commit formats. It can also generate multiple message recommendations, allowing you to pick the best fit.

Available on: Web

Pros & Cons

Pros

  • Automates a repetitive development task
  • Improves consistency and quality of commit messages
  • Saves developer time and increases productivity
  • Flexible with support for various AI providers
  • Integrates seamlessly with existing Git workflows

Cons

  • Requires Node.js v22 or higher
  • Generating multiple recommendations uses more AI tokens (potentially higher cost for paid APIs)
  • Relies on external AI services, which may have associated costs or usage limits

Preview

Key Features

AI-powered commit message generationCLI integration for direct useGit hook integration for automatic message generationSupport for multiple AI providers (TogetherAI, OpenAI, OpenRouter, Ollama)Configurable via CLI setup or environment variablesOption to generate multiple message recommendationsSupport for Conventional Commits formatAbility to exclude files from AI analysis

Pricing Plans

Pricing checked May 28, 2026

Open Source

Free

  • Full source code access
  • MIT License license
  • Community support
  • Self-hosted

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AI Commits FAQ

What specific Node.js version is required to install and run aicommits?

aicommits requires Node.js version v22 or newer. Users can verify their Node.js version by running node --version in their terminal.

Can aicommits automatically stage files before generating a commit message?

Yes, aicommits can automatically stage changes in tracked files. This functionality is enabled by using the --all or -a flag when running the aicommits command.

What are the supported AI providers for generating commit messages?

aicommits supports several AI providers, including TogetherAI (recommended), OpenAI, Groq, xAI, and OpenRouter. It also supports local AI models via Ollama and LM Studio, and custom OpenAI-compatible endpoints.

How can I configure aicommits for use in a CI/CD environment without interactive setup?

For CI/CD environments, aicommits can be configured using the aicommits config set command. This allows setting API keys, base URLs, and model choices directly, which creates a .aicommits file in the home directory.

What options are available for customizing the format of the generated commit messages?

aicommits offers three commit message formats: plain (default), conventional (for Conventional Commits), and gitmoji (for emoji-based messages). Users can specify their preferred format using the --type or -t flag.

Is it possible to generate multiple commit message suggestions simultaneously?

Yes, users can generate multiple commit message recommendations by using the --generate <i> or -g <i> flag, where i represents the desired number of suggestions. This feature may consume more tokens and incur higher costs.

Source: github.com

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