Tabnine

What is Tabnine?

Privacy-first AI coding assistant aimed at regulated and IP-sensitive organisations. Its differentiator is deployment flexibility - fully air-gapped on-premises or VPC installation with models that provably never see your code leave your infrastructure.

Main features

• Air-gapped, on-premises and VPC deployment options
• models trained only on permissively licensed code with provenance attribution
• personalisation on your own codebase without sending it to a vendor
• Tabnine Chat and agents for code review, test generation, documentation and Jira-to-code
• switchable models (Tabnine's own, Claude, GPT, Mistral)
• admin controls and audit
• IP indemnification on enterprise tiers.

Practical use cases

• Providing AI assistance to developers who are contractually barred from sending code to third-party clouds
• generating tests and documentation inside an air-gapped network
• enforcing that no proprietary code trains a vendor model
• satisfying auditors on code provenance.

Who is it for?

• Banks, defence, healthcare, government and any organisation with strict data-residency, IP or compliance requirements.

Pricing, free access & limits

Per-seat subscription; enterprise self-hosted licensing

Plans described in the source

Dev tier around $9/user/mo (billed annually) for individuals and small teams. Enterprise around $39/user/mo (annual, typically with seat minimums) adding self-hosted/air-gapped deployment, SSO, admin controls, IP indemnification and private model personalisation. A free tier with basic completions has existed but has been narrowed over time. Verify current tiers directly.

Usage limits to consider

Self-hosted deployment requires meeting hardware specifications (GPU requirements for local models). Some agent features and model choices are enterprise-only. Seat minimums typically apply to Enterprise.

Strengths & tradeoffs

These points summarize the supplied research, rather than hands-on test results.

Strengths noted in the source

• The only credible fully air-gapped option in this group - for regulated environments that is not a preference but a requirement
• provenance-attributed training data and IP indemnification address a real legal exposure
• very broad IDE coverage including older editors
• strong admin and audit controls.

Limitations to consider

• Raw code-generation quality trails Cursor and Copilot, particularly on agentic multi-file work
• self-hosting carries meaningful infrastructure cost and operational burden
• the free tier has been progressively reduced
• smaller ecosystem and community
• enterprise pricing is high per seat for the capability delivered.

Platforms, languages & integrations

Platforms

• VS Code, JetBrains suite, Visual Studio, Eclipse, Neovim, Vim, Emacs, Android Studio
• self-hosted server on Kubernetes/Docker

Languages

• 80+ programming languages

API access

Enterprise APIs for admin and integration; self-hosted model endpoints

Integrations and exports

• Jira, GitHub, GitLab, Bitbucket, Atlassian, Jenkins, internal SCM via self-hosted connectors

Evaluation notes

Choose Tabnine for the compliance posture, not for the code quality - if your organisation can send code to a vendor cloud, Copilot or Cursor will produce better results for less. Validate GPU sizing before committing to air-gapped deployment.

Explore similar tools

Other tools in AI Coding Assistants. Compare their specific features and limits for your task.

Frequently asked questions

Sources & editorial notes

Based on the directory editor’s supplied research. The source does not provide a verification date for this row. Importing a record does not independently verify every product claim.

• Official product website
• Official pricing