Tabnine
AI code completion tool built around privacy: supports fully local/on-prem deployment and models trained only on permissively-licensed code.
About Tabnine
Tabnine offers AI code completion, chat, and code generation across major IDEs (VS Code, JetBrains, and more), but its main differentiator is a privacy-first approach: it offers options to run models fully locally or on-premises with no code leaving your network, and its models are trained on permissively-licensed open-source code to reduce intellectual-property risk for enterprises. The free tier provides basic autocomplete suitable for individual developers; paid plans starting around $9 per seat/month add chat, more powerful models, and team features, with custom enterprise pricing for private/on-prem deployments. For pure coding capability, Tabnine's suggestions are generally a step behind the most context-aware tools like Cursor or GitHub Copilot's newer agent modes — its value proposition is squarely about control over data and licensing risk rather than being the most capable assistant available.
Pros
- ✓Strong privacy options including local/on-prem deployment
- ✓Trained on permissively-licensed code to reduce IP risk
- ✓Works across many popular IDEs
- ✓IP indemnification and air-gapped deployment options
Cons
- ×Suggestions generally less advanced than Copilot/Cursor
- ×Chat/agent features newer and less mature
- ×Private deployment pricing is custom and can be costly
Use Cases
Privacy-sensitive enterprise development
On-premises AI coding deployments
IP-conscious code generation
Day-to-day autocomplete
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Tags
From $39/seat/mo (no free tier)
paid