Tabnine
Tabnine is an AI code completion tool with strong privacy options including full self-hosting.
Overview
Section titled “Overview”| Type | Extension |
| Open Source | No (self-hosted option) |
| Best For | Privacy-focused teams, air-gapped environments |
Key Features
Section titled “Key Features”- Self-Hosted — Run entirely on your infrastructure
- Personalized Models — Learns your codebase patterns
- Multi-IDE — VS Code, JetBrains, Vim, Emacs, more
- Whole-Line Completion — Context-aware suggestions
- Chat — Conversational coding assistance
Access Model
Section titled “Access Model”Tabnine offers both hosted and enterprise self-hosted paths. The real choice is whether you need normal cloud convenience or infrastructure-level control.
Privacy
Section titled “Privacy”| Setting | Value |
|---|---|
| Training | Only on your code (opt-in) |
| Self-Hosted | Full on-prem option |
| Air-Gapped | Supported |
| Jurisdiction | Your infrastructure |
Models
Section titled “Models”- Tabnine proprietary models
- Custom models trained on your codebase (Enterprise)
- Protected model (never trained on public code)
Installation
Section titled “Installation”VS Code:
Extensions → Search "Tabnine"Install → Create account or connect to enterprise serverJetBrains:
Settings → Plugins → Marketplace → TabnineSelf-Hosted Deployment
Section titled “Self-Hosted Deployment”For Enterprise customers:
# Docker deploymentdocker run -d \ --name tabnine-server \ -p 8080:8080 \ -v /path/to/models:/models \ tabnine/enterprise:latestSupports:
- Docker / Kubernetes
- AWS / Azure / GCP
- Air-gapped networks
- Custom model training
Personalization
Section titled “Personalization”Tabnine learns from your codebase:
- Team Patterns — Suggests code matching team style
- Project Context — Understands your architecture
- Private Training — Models stay on your servers
- Enable “Team Learning” for consistent suggestions
- Self-hosted is ~80-90% quality of cloud models
- Use for air-gapped/regulated environments
- Works well alongside other AI tools