Tabnine

Overview

Tabnine is one of the earliest AI code completion tools, developed by the Codota team. Its core advantage is privacy protection, supporting fully local operation so that code never leaves the developer's machine. Tabnine uses multiple models, including local and cloud models. It supports team learning, able to learn the team's code style and patterns. The enterprise version supports custom model training to meet specific needs. Tabnine supports 30+ IDEs and 50+ programming languages.

Installation

Tabnine is installed via IDE plugins. Search for Tabnine in supported IDEs and install it. After installation, you need to log in to your account (free version) or activate a license (paid version).

# VS Code installation
# 1. Open the extension store
# 2. Search for "Tabnine"
# 3. Click install
# 4. Restart VS Code
# 5. Log in or register an account

# JetBrains installation
# Settings -> Plugins -> Search for "Tabnine"

IDE Integration

Tabnine supports 30+ IDEs, including VS Code, the entire JetBrains family, Visual Studio, Vim, Sublime Text, and more. It provides a consistent experience across different IDEs. It supports IDE-specific features and integrations.

Code Completion

Tabnine provides smart code completion, supporting single-line, multi-line, and whole-function completion. Based on context understanding, it provides accurate suggestions. It supports multiple models: local models (fast, private) and cloud models (powerful, accurate). You can switch models as needed.

# Tabnine configuration
{
  "tabnine.completionMode": "inline",
  "tabnine.model": "cloud",  // or "local"
  "tabnine.maxLines": 50,
  "tabnine.debounce": 0
}

Privacy

Tabnine's core advantage is privacy protection. Local models run entirely on the developer's machine, and code never leaves the local environment. Even when using cloud models, a privacy mode is supported that does not store code. The enterprise version supports fully local deployment, meeting strict data security requirements. Tabnine does not use customer code to train models (unless explicitly authorized).

# Privacy configuration
{
  "tabnine.privacyMode": true,
  "tabnine.localModel": true,
  "tabnine.cloudCompletion": false
}

Enterprise

Tabnine Enterprise provides enterprise-grade features: local deployment, custom models, team learning, SSO, admin console, and more. The enterprise version can be deployed on internal enterprise servers, with full control over data. It supports customized model training to adapt to the enterprise's specific tech stack and coding standards.

# Enterprise deployment
# 1. Contact Tabnine sales to obtain a license
# 2. Download the enterprise server
# 3. Configure Docker deployment
docker run -d \
  -p 443:443 \
  -v /data:/data \
  tabnine/enterprise:latest

Team Learning

Tabnine's team learning feature lets AI learn the team's coding patterns. By analyzing the team's codebase (optional), Tabnine can provide suggestions that match the team's style. Team learning is conducted under privacy protection and does not leak code. This improves the accuracy and relevance of completions.

Custom Model

Tabnine Enterprise supports custom model training. By training a dedicated model based on the enterprise's codebase, it provides more accurate completions. The training process is conducted locally, and code does not leave the enterprise. Custom models can significantly improve completion effects for specific tech stacks.

# Train a custom model
# 1. Create a training task in the admin console
# 2. Select the codebase
# 3. Configure training parameters
# 4. Start training (conducted locally)
# 5. Deploy the model for team use

Pricing

Tabnine offers a free version (basic completion), a Pro version ($12/month, full features), and an Enterprise version (contact sales, self-hosted). The free version supports basic completion, while the Pro version provides cloud models, whole-function completion, and more. The Enterprise version provides local deployment, custom models, and other enterprise features.

Configuration

Tabnine is configured through the IDE extension settings. The key options are privacy mode (no code leaves your machine), local vs cloud model, and completion behavior. The enterprise edition adds self-hosted deployment and custom model training. Team learning lets the assistant match your team's coding style.

# VS Code settings
{
  "tabnine.privacyMode": true,
  "tabnine.localModel": true,
  "tabnine.cloudCompletion": false,
  "tabnine.completionMode": "inline",
  "tabnine.maxLines": 50,
  "tabnine.debounce": 0
}

# Enterprise self-hosted
docker run -d -p 443:443 -v /data:/data tabnine/enterprise:latest
# Then in IDE: set "tabnine.enterpriseUrl" to your server

# Team learning (enterprise)
# Admin console -> Team Learning -> enable -> select codebases

Enable privacy mode + local model for fully offline, private completion—code never leaves your machine.

FAQ

Common questions cover privacy, local vs cloud models, enterprise deployment, pricing, and team learning. Tabnine's local model runs entirely on your machine. The enterprise edition supports self-hosted deployment and custom model training on your codebase.

Q: Does Tabnine send my code anywhere?
A: With privacy mode + local model, code never leaves your machine. Cloud
   models send snippets for completion; enable privacy mode to opt out.

Q: Local or cloud model?
A: Local is private and fast but less powerful; cloud is more accurate.
   Switch via "tabnine.model".

Q: Is there a free tier?
A: Yes—basic completion is free; Pro ($12/month) adds cloud models and
   whole-function completion; Enterprise is self-hosted.

Q: Can it learn my team's style?
A: Yes—Team Learning (enterprise) analyzes your codebase to match your
   team's patterns, under privacy protection.

Q: Can I train a custom model?
A: Enterprise supports custom model training on your codebase, run locally
   so code stays in-house.

For strict data-security requirements, use the enterprise self-hosted edition with local models.