Tabnine AI

You could duct-tape snippets from the internet and babysit broken builds. Or go smart with Tabnine, the code assistant that ships clean, compliant code and keeps your secrets yours.

Tabnine is built for privacy-first engineering. Zero data retention, models that are not trained on your private code, and air-gapped or on-prem options keep IP and customer data locked down. It enforces license compliance and includes IP protection with indemnification, so legal stays calm while devs move fast.

Spin up a bespoke model trained on your codebase to get context-aware suggestions that match your patterns, frameworks, and standards. Tabnine covers the full SDLC: generate code, explain legacy logic, write tests, document APIs, review changes, and maintain what ships.

It plugs into the IDEs your team already uses, including VS Code, IntelliJ, and Visual Studio. AI agents handle Code Review, Jira-linked Generation and Validation, Code Explain and Onboarding, Testing, Code Fixes, and Documentation.

Recognized by Gartner and praised by customers for faster, higher-quality output, Tabnine helps you deliver features sooner, with fewer defects and more consistency across teams. As an online business owner, that means shorter cycle times, lower risk, and velocity you can actually forecast.

Choose secure SaaS, VPC, or on-prem. Scale your engineering like a pro, not a hero.

Best features:

Private, zero-retention models + keep code and customer data secure
On-prem, VPC, or secure SaaS deployment + meet compliance and data residency
Bespoke models trained on your codebase + suggestions that match your standards
Full SDLC coverage from code to tests to docs + faster, consistent delivery
License compliance and code scanning + reduce legal and supply chain risk
AI agents for review, Jira, testing, and fixes + shorter cycle times and less toil

Ship code faster with AI that stays private, compliant, and tailored to your stack.

Use cases:

Ship new features faster without a hiring spree by accelerating developer workflows
Enforce coding standards and consistency across distributed teams and codebases
Onboard new engineers in days with code explain, contextual docs, and examples
Modernize and refactor legacy services while preserving behavior and style
Automate unit test generation and coverage boosts for safer releases
Adopt AI coding in regulated environments while keeping IP and data private

Suited for:

Founders, CTOs, and product leaders who need to ship faster without risking IP or compliance. Ideal for teams that want AI coding superpowers with private, enterprise-grade controls.