Tabnine
Privacy-focused AI code completion with self-hosted options.
Description
Tabnine offers AI code completion with a strong emphasis on privacy, including options to run models on-premises or in a private VPC for regulated teams.
Pros
- Self-hosted/on-prem options for strict privacy needs
- Trains on your own codebase for better relevance
- Works across a wide range of IDEs
Cons
- No permanent free plan since 2025 — only a free trial
- Suggestion quality can trail newer agentic tools, and the best privacy features are Enterprise-tier only
What it does & solves
Tabnine solves the data-privacy objection that stops some regulated companies (finance, healthcare, defense, government contractors) from adopting AI coding tools at all. Instead of sending code to a shared third-party cloud model, teams can run Tabnine's models on-premises or in their own private cloud, and the tool can be trained specifically on a company's own codebase for more relevant suggestions without that code leaving their infrastructure. That trade-off means it's less about being the flashiest agentic coder and more about being an AI assistant that a compliance team will actually approve.
Use cases
- Getting inline code completions across a wide range of IDEs (VS Code, JetBrains, and more)
- Running AI code assistance fully on-premises or in a private VPC for compliance-sensitive teams
- Training suggestions on a company's own private codebase for more relevant completions
- Using chat-based code explanation and generation without sending code to a public model
- Standardizing AI coding tools across a regulated engineering org under one privacy policy
- Generating unit tests and documentation from existing code
- Reviewing AI-flagged code for basic quality issues before a human review
Who it's for
Best suited to developers and engineering teams in regulated or security-conscious industries where sending code to a third-party cloud model is a blocker — finance, healthcare, government, and similar sectors. Individual developers without those constraints will likely find newer agentic tools more capable for the price; Tabnine's strongest privacy features (on-prem/VPC deployment, private training) are Enterprise-tier only.
Getting started
- 1Start a free trial (currently around 90 days) rather than expecting a permanent free plan — Tabnine discontinued its free tier in 2025.
- 2Install the Tabnine extension for your IDE (VS Code, JetBrains, and others are supported).
- 3Connect it to your codebase if you want suggestions trained on your own code and patterns.
- 4Use inline completions as you type, and chat for larger explanations or generation tasks.
- 5If privacy/compliance is the deciding factor, talk to sales about on-premises or private-VPC deployment before the trial ends.
Tips for using it well
- If privacy compliance isn't a requirement for you, compare suggestion quality against newer agentic tools before committing — that's where Tabnine tends to trail.
- Use the 90-day trial to test whether on-prem or private-VPC deployment fits your infrastructure before signing an annual contract.
- Train Tabnine on your own codebase early — its main edge over generic completion tools is relevance to your existing patterns and libraries.
- Check which IDE integrations you actually need before buying; coverage is broad but depth varies by editor.
- For a compliance-driven purchase, loop in security/legal early since the privacy-relevant features and pricing sit in the custom Enterprise tier.
Plans & pricing
Free plan: No permanent free plan — Tabnine dropped its free tier in 2025. New users get a roughly 90-day free trial of the paid product, which requires payment details to start.
Dev
~$9–12/user/month
Individual-developer plan with full AI code completion across supported IDEs; exact price varies by source and billing term.
Enterprise
$39/user/month
Adds the privacy-focused features Tabnine is known for — on-premises or private-VPC deployment and codebase-specific training — plus compliance controls.
Agentic Platform
~$59/user/month
Tabnine's higher tier for agentic, multi-step coding workflows on top of the privacy-focused base.