Tabnine
Privacy-first enterprise AI code assistant you control, with SaaS, VPC, on-prem, or fully air-gapped deployment
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About Tabnine
Tabnine is a privacy-first AI code assistant aimed at enterprise teams that can't send their source code to a third-party cloud. It offers code completion, AI chat across the development lifecycle, and agentic workflows, but its real differentiator is deployment control. You can run it as SaaS, inside your own VPC, fully on-premises, or completely air-gapped with no internet connection at all.
The assistant learns from your codebase, frameworks, and standards so suggestions fit your actual stack, including legacy and mixed environments. Admins can choose among multiple models or wire in a private fine-tuned one, then standardize the whole org on an approved option. Zero data retention, code privacy, IP protection through license-compliant models, plus centralized access controls and policy enforcement round out the governance story for regulated work.
This makes it a strong pick for finance, healthcare, defense, and government teams that need AI help without code leaving the building. Pricing is paid, with tiered plans and an enterprise option, and the standalone context engine is priced separately. If your blocker for AI coding has always been security, Tabnine is built around exactly that concern.
Key Features
- SaaS, VPC, on-premises, and fully air-gapped deployment options
- Zero code retention and no training on your code
- Context Engine that grounds suggestions in your own codebase
- Switchable LLMs including Tabnine models, Claude, GPT-4o, and Mistral Codestral
- Bring-your-own-model support via private endpoint connections
- SOC 2, GDPR, and ISO 27001 compliance with SSO and governance controls
Pros & Cons
What we like
- Strongest privacy and on-prem story among AI coding assistants
- Air-gapped option works with no internet connection at all
- Admins can swap models or wire in a private fine-tuned model
- Enterprise governance, audit, and IP indemnification for regulated teams
Room for improvement
- Raw completion quality trails frontier-model rivals like Copilot and Cursor
- No current free tier; the old Basic plan was sunset
- Pricing starts at 39 dollars per user per month, steep for solo devs
- Full value depends on enterprise deployment and admin setup
Frequently Asked Questions
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Reviews (12)
Does the job, a few gripes
Three months of Tabnine later, here is what holds up. It just works, day after day, without surprises. Setup was painless and I was productive the same day. The catch is no current free tier; the old basic plan was sunset.
Best decision this quarter
Three months of Tabnine later, here is what holds up. Their take on bring-your-own-model support via private endpoint connections is genuinely good. It does what it says, which is rarer than it should be. No regrets so far.
Pulled its weight from week one
Almost a year on Tabnine now, no plans to leave. The context engine that grounds suggestions in your own codebase is more useful than I expected. What stands out is how little babysitting it needs. It fits well for running an air-gapped assistant in defense or government environments. It earns its place in my stack.
Solid daily driver
Tried Tabnine on a side project first, then rolled it out everywhere. It just works, day after day, without surprises. Mostly using it for standardizing ai suggestions on an approved private model org-wide.
Two months in, no regrets
Onboarded the whole team to Tabnine in an afternoon. The bring-your-own-model support via private endpoint connections is more useful than I expected. Found it works best for standardizing ai suggestions on an approved private model org-wide. No regrets so far.
Bought it for one feature, stayed for ten
Three months of Tabnine later, here is what holds up. Their take on air-gapped option works with no internet connection at all is genuinely good. I expected to churn off it in a week and I am still here. It has been a fit for standardizing ai suggestions on an approved private model org-wide. Hard to imagine going back to my old setup.
Powerful once it clicks
Tabnine has quietly become part of my daily flow. Real selling point for me was bring-your-own-model support via private endpoint connections. Setup was painless and I was productive the same day. My only gripe is full value depends on enterprise deployment and admin setup. Worth the price for what I get out of it.
Bought it for one feature, stayed for ten
Tabnine has quietly become part of my daily flow. Where it really wins is strongest privacy and on-prem story among ai coding assistants. It just works, day after day, without surprises. Found it works best for letting regulated teams use ai coding without sending code off-site. Recommending it to people in a similar spot.
Onboarded the team in a day
Have been running Tabnine for a while, here is where I land. Their take on switchable llms including tabnine models, claude, gpt-4o, and mistral codestral is genuinely good. Support actually answered when I had a question, which surprised me. Glad I made the switch.
Solid but not perfect
Tabnine has quietly become part of my daily flow. The switchable llms including tabnine models, claude, gpt-4o, and mistral codestral is more useful than I expected. My only gripe is pricing starts at 39 dollars per user per month, steep for solo devs. No regrets so far.
Quietly excellent
Three months of Tabnine later, here is what holds up. Real selling point for me was admins can swap models or wire in a private fine-tuned model. It has been a fit for standardizing ai suggestions on an approved private model org-wide. Would sign up again without thinking twice.
Quietly excellent
Picked Tabnine for the price, stayed for the quality. Real selling point for me was strongest privacy and on-prem story among ai coding assistants. It earns its place in my stack.
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