---
title: "Tabnine"
description: "AI-powered code completion assistant that learns from your codebase and coding patterns, enhancing productivity and coding efficiency."
category: "tools"
tags: ["ai-completion", "autocomplete", "machine-learning", "productivity", "code-prediction", "privacy", "intelligent-suggestions"]
tech_stack: ["JavaScript", "Python", "Java", "C#", "Go", "Ruby", "PHP", "TypeScript", "HTML", "CSS"]
---

### Tool Benefits
Tabnine is a smart code completion tool that learns from millions of open-source programs and your team's specific code. Here’s what makes it stand out:

- **Increased Productivity**: It saves you time by offering context-aware suggestions as you code.
- **Learning from Your Code**: Tabnine adapts to your unique coding style and project patterns, getting better the more you use it.
- **Privacy-Focused**: It provides local models to keep your code safe and secure.
- **Cross-Language Support**: This tool works with various programming languages, making it suitable for all kinds of projects.
- **Integration with IDEs**: Tabnine easily fits into popular development environments, enhancing your existing workflow.

### Setup & Installation
#### For Visual Studio Code
1. Open Visual Studio Code.
2. Click on the Extensions icon in the Activity Bar or press `Ctrl+Shift+X` to open the Extensions view.
3. Type "Tabnine" in the marketplace search bar.
4. Hit the **Install** button.

#### For JetBrains IDEs (e.g., IntelliJ IDEA, PyCharm)
1. Launch your JetBrains IDE.
2. Go to `File > Settings > Plugins`.
3. Click on the Marketplace tab and search for "Tabnine".
4. Click on **Install** and restart your IDE.

#### For Sublime Text
1. Open Sublime Text.
2. If you haven't done so, install Package Control.
3. Press `Ctrl+Shift+P` and type "Install Package".
4. Search for "Tabnine" and select it to install.

#### For Other IDEs
Check out the [Tabnine installation documentation](https://www.tabnine.com/install) for detailed steps tailored to other supported IDEs.

### Configuration
- After installing, access the Tabnine settings through your IDE's settings menu.
- **Local Model**: Turn this on to use Tabnine's local model for added privacy.
- **Cloud Model**: If you prefer suggestions from the cloud, make sure your account is linked.
- **Team Training**: Enable this feature to enhance suggestions based on your team's codebase.

### Usage Guide
- Start coding in the editor, and Tabnine will suggest completions based on what you write.
- Press the `Tab` key to accept a suggestion or `Esc` to dismiss it.
- You can also bring up suggestions manually by pressing `Ctrl+Space`.

#### Example
```python
def calculate_area(radius):
    return 3.14 * radius ** 2

# Start typing below
calculate_area(5)  # Tabnine suggests completing the function call
```

### Advanced Features
- **Custom Models**: Train Tabnine using your own codebase for tailored suggestions.
- **Team Collaboration**: Use the team training feature to share learned patterns among your team.
- **Integrations**: Connect Tabnine with GitHub for improved code review suggestions.

### Troubleshooting
- **No Suggestions**: Make sure Tabnine is enabled in your IDE settings.
- **Slow Performance**: Check if the local model is active; consider disabling cloud features if they aren’t needed.
- **Installation Issues**: Try reinstalling the extension and ensure your IDE is up to date.

### Best Practices
- Keep Tabnine updated to access the latest features and improvements.
- Use the local model for projects that require maintaining code privacy.
- Encourage your team to use Tabnine for consistent coding patterns.
- Play around with different settings to discover what works best for your workflow.