AICommit
AICommit is an AI-powered programming assistant designed to be used with JetBrains IDEs. This tool, which is a JetBrains IDE plugin, leverages OpenAI GPT techno...
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What is AICommit?
AICommit is a JetBrains plugin that generates AI-powered commit messages directly within the Commit tool window of IntelliJ IDEA, WebStorm, and other IntelliJ-platform IDEs. It analyzes staged code diffs using advanced AI models to produce professional, meaningful commit messages in under two seconds with just one click. Developers can stay in their workflow without leaving the editor, whether using VCS panel, terminal, or Git integration.
Key features include support for multiple AI providers like OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, and Ollama for local models, allowing seamless switching without reconfiguration. It emphasizes privacy by processing diffs locally before any API calls, ensuring no code is stored, logged, or shared externally. Customizable prompt templates and provider controls make it adaptable to team standards.
Designed for software engineers, students, and teams prioritizing efficiency and data security, AICommit eliminates the tedium of manual commit message writing. With over 21,712 Marketplace installs and a 58% renewal rate, it's ideal for daily development in JetBrains environments, supporting both cloud and fully local workflows.
AICommit pricing
Pricing model: Free
Distributed via JetBrains Marketplace with free trial available. Free for students and teachers. Paid subscription or license through IDE account; check Marketplace listing for current status. AI provider costs apply separately based on usage.
AICommit pros
- One-click generation from VCS commit panel
- Analyzes staged diffs for precise messages
- Supports OpenAI, Azure OpenAI, Gemini, Claude
- Ollama integration for local models
- Privacy-focused local diff processing
- No code storage or logging
- Works in IntelliJ IDEA, WebStorm, others
- Seamless provider switching
- Custom prompt templates available
- Under two seconds generation time
- Integrates with terminal and Git tools
- 21,712+ Marketplace installs
- 58% user renewal rate
- Free for students and teachers
- Smooth IDE workflow integration
- Positive user reviews for efficiency
AICommit cons
- Limited to JetBrains IDEs only
- Requires AI provider API credentials
- Cloud models need internet access
- Costs from AI provider usage
- No support for non-IntelliJ IDEs
- Marketplace licensing required
- Setup needed for providers
- Dependent on model quality
- Local Ollama requires setup
Frequently asked questions about AICommit
Which JetBrains IDEs does AICommit work with?
AICommit fits directly into the Commit tool window in IntelliJ-platform IDEs, including IntelliJ IDEA, WebStorm, and others built on the IntelliJ platform.
Which AI providers are supported?
AICommit supports OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, and Ollama for local models, plus custom API endpoints.
Does AICommit collect my code or commit messages?
AICommit does not collect your code or commit messages. For cloud generation, content is sent only to the configured provider you choose.
Can I keep everything local?
Yes, use Ollama with local models for a fully local-first workflow without sending staged diffs to any cloud provider.
How do I get started?
Install from JetBrains Marketplace, configure a provider and model, verify credentials, choose a prompt template, and generate with one click.
How does licensing work?
Distributed through JetBrains Marketplace. Check the listing and your IDE account for current license, subscription status, or free trial.
Is there a free version?
Free trial on Marketplace, and free for students and teachers. Paid plans via Marketplace for full access.
How fast does it generate messages?
Advanced AI analysis produces professional commit messages in under two seconds from staged diffs.
Does it work outside the commit panel?
Yes, generates wherever you commit: VCS panel, terminal, or Git integration in JetBrains IDEs.
What makes it privacy-first?
All diffs processed locally before API calls; no code stored, logged, or shared, built for secure teams.