Tabnine

Code completion platform built for on-premises and air-gapped deployment

AI Coding & DevelopmentFree planOverseasβ˜…β˜…β˜…β˜†β˜† 3.0

What is Tabnine?

Tabnine provides AI code completion with an emphasis on deployment control. Alongside the usual cloud service it offers self-hosted and air-gapped options where models run entirely inside your network and no code leaves the organisation, which is why it turns up in regulated industries. It can learn from your repositories to match internal conventions and restrict suggestions to permissively licensed training data, addressing the licence and provenance concerns that make some teams hesitate. It is a completion and chat assistant rather than an autonomous agent, and it plugs into the major IDEs.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Inline completion with whole-line and full-function suggestions
  • Self-hosted and air-gapped deployment options
  • Model personalisation trained on your own repositories
  • Optional restriction to permissively licensed training data
  • Plugins for major IDEs including VS Code and JetBrains
  • Team administration with policy and usage controls

Pros & cons

Strengths

  • Genuine on-premises and air-gapped deployment options
  • Addresses licence and training-data provenance directly
  • Works across most mainstream editors and IDEs

Watch out for

  • Completion quality trails the strongest cloud-native rivals
  • Enterprise pricing targets organisations rather than individuals
  • Agentic multi-file editing is not where its strength lies

Best for & use cases

regulated industries, air-gapped environments, enterprise rollouts and compliance-driven teams

If you're comparing similar products, check the alternatives below, or browse all tools in the AI Coding & Development category.

FAQ

What is air-gapped deployment?

The model runs on infrastructure you control with no external network access, so source code never leaves the environment. That is the primary reason organisations in finance, defence and healthcare consider it.

How is the model personalised?

It can learn from your own repositories to suggest code matching internal patterns and naming. Personalisation is optional and can be scoped to whatever your policy allows.

Is it a good fit for individuals?

There is a free tier that works fine for everyday completion, but the real strengths are deployment control and administration. Solo developers may find cloud-native alternatives more capable per dollar.