Tabnine was doing AI code completion before it was cool, and it has staked out the position the giants cannot easily copy: an assistant built for teams whose code must never leave their walls.

Tabnine provides completions, chat, code explanations, test and documentation generation, and AI code review across all major IDEs. Its differentiators are deployment and provenance: run it fully air-gapped on your own infrastructure if required, keep zero data retention, and lean on models trained only on permissively licensed code, with provenance checks that flag output resembling copyleft sources. Team awareness lets it learn your codebase's conventions so suggestions look like your code, not Stack Overflow's.

Switchable frontier models handle the heavy reasoning when policies allow, while Tabnine's own protected models cover the compliance-critical paths, a pragmatic hybrid that security reviews actually approve.

Who is it for?

Engineering organizations in finance, healthcare, defense, and anywhere legal scrutinizes AI tooling: teams that want Copilot-class assistance with enterprise answers to "where does our code go?" and "what was this trained on?".

How much does Tabnine cost?

The Dev plan runs $9 per month for individuals. Enterprise is $39 per user per month with private or air-gapped deployment, provenance controls, team learning, and admin governance; annual contracts are standard.

Our verdict

On raw suggestion brilliance, frontier-model rivals often edge ahead; on privacy, licensing hygiene, and deployability, Tabnine leads the pack. For regulated teams it is frequently the only assistant that clears review.