概述
Tabnine 是最早的 AI 代码补全工具之一，由 Codota 团队开发。其核心优势是隐私保护，支持完全本地运行，代码不会离开开发者的机器。Tabnine 使用多种模型，包括本地模型和云端模型。它支持团队学习，能学习团队的代码风格和模式。企业版支持自定义模型训练以满足特定需求。Tabnine 支持 30+ IDE 和 50+ 编程语言。
安装
Tabnine 通过 IDE 插件安装。在支持的 IDE 中搜索 Tabnine 并安装。安装后需要登录账户（免费版）或激活许可证（付费版）。
# 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 集成
Tabnine 支持 30+ IDE，包括 VS Code、整个 JetBrains 家族、Visual Studio、Vim、Sublime Text 等。在不同 IDE 中提供一致的体验。支持 IDE 特定的功能和集成。
代码补全
Tabnine 提供智能代码补全，支持单行、多行和整函数补全。基于上下文理解，提供准确的建议。支持多种模型：本地模型（快速、私密）和云端模型（强大、准确）。可根据需要切换模型。
# Tabnine configuration
{
"tabnine.completionMode": "inline",
"tabnine.model": "cloud", // or "local"
"tabnine.maxLines": 50,
"tabnine.debounce": 0
}隐私
Tabnine 的核心优势是隐私保护。本地模型完全在开发者机器上运行，代码不离开本地环境。即使使用云端模型，也支持隐私模式，不存储代码。企业版支持完全本地部署，满足严格的数据安全要求。Tabnine 不会使用客户代码训练模型（除非明确授权）。
# Privacy configuration
{
"tabnine.privacyMode": true,
"tabnine.localModel": true,
"tabnine.cloudCompletion": false
}企业版
Tabnine Enterprise 提供企业级功能：本地部署、自定义模型、团队学习、SSO、管理控制台等。企业版可部署在企业内部服务器上，完全掌控数据。支持定制化模型训练，以适应企业特定的技术栈和编码规范。
# 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团队学习
Tabnine 的团队学习功能让 AI 学习团队的编码模式。通过分析团队代码库（可选），Tabnine 可以提供符合团队风格的建议。团队学习在隐私保护下进行，不会泄露代码。这提升了补全的准确性和相关性。
自定义模型
Tabnine Enterprise 支持自定义模型训练。通过基于企业代码库训练专用模型，提供更准确的补全。训练过程在本地进行，代码不离开企业。自定义模型可显著提升特定技术栈的补全效果。
# 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定价
Tabnine 提供免费版（基础补全）、Pro 版（每月 $12，全功能）和企业版（联系销售，自托管）。免费版支持基础补全，Pro 版提供云端模型、整函数补全等。企业版提供本地部署、自定义模型等企业功能。
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 codebasesEnable 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.
Ready to try Tabnine?
Visit the official site for the latest version and full documentation.
Visit Tabnine