How Tabnine Protects Your Code Privacy

TL;DR:

Tailored to fit your privacy requirements

Tabnine offers both cloud and local hosting for our AI-assisted development solutions, allowing you to choose the solution that best fits your needs.

You always retain custody of your code

Tabnine NEVER stores or shares any of your code. Any action that shares your code with the Tabnine servers for the purpose of training team models requires explicit opt-in. Tabnine does not retain any user code beyond the immediate time frame required for training models. Any team model created by Tabnine is only accessible by your team members.

Trained on open-source code with permissive licenses

Tabnine only uses open-source code with permissive licenses for our Public Code trained AI model (MIT, Apache 2.0, BSD-2-Clause, BSD-3-Clause). Whether you’re using Tabnine’s Pro plan or our Basic plan, your code, and AI data are NEVER used to train any models other than your own team models

Tabnine Privacy Deep Dive

What is Tabnine?

Tabnine provides AI code completions using two sources: (1) A Public Code model that has been trained on open-source code. (2) A Team Learning model trained on you and your team’s code and local interactions with Tabnine.

How do we build our models?

Training the Open-Source model

  • The Open-Source model is trained on public code from GitHub.
  • It only uses repositories with permissive open-source licenses (MIT, Apache 2.0, BSD-2-Clause, BSD-3-Clause).
  • Trained code is filtered to ensure quality and avoid outdated code, esoteric code, auto-generated code, and other edge cases.
  • The model is updated regularly to capture recent developments.

Training the Team AI model

  • Your private Team Learning model is trained on your code and interactions with Tabnine.
    The model and AI training data are never shared with anyone outside your team.
  • The Team Learning model captures patterns that are specific to your team.
  • The Team Learning model requires an explicit opt-in from the team administrator.
  • Every Team Learning model is trained in a secure and separate environment.

How do we use our models?

Tabnine defaults to a local configuration. The Public Code model is downloaded to your local development machine - the code never leaves your device. When a team model has been trained (on Tabnine servers), it is downloaded to your local development machine and inference runs local .

Tabnine cloud

Tabnine also offers a cloud-based configuration, which allows for the usage of more powerful models that cannot be run locally on a development machine. These models are on GPU servers and require you to opt-in before they can be used.

All information sent to our servers is ephemeral and only used to provide the service.

The default mode of Tabnine

  • The Public Code AI model is downloaded from the Tabnine server.
  • Inference runs locally using the Public Code model. Your code never leaves your machine, not even as context

Tabnine for Teams

  • The Public Code AI model is downloaded from the Tabnine server.
  • Inference runs locally. Your code never leaves your machine, not even as context.
  • Inference uses two models: The Public Code model and Team Learning model.
  • The Team Learning model is trained continuously on your code and your team’s interactions with code completions.
  • The cumulative interactions are used to fine-tune The Team Learning model, which in turn improves code completions for the entire team by identifying the most relevant patterns.

Your code’s privacy is our highest priority. We at Tabnine want to reassure you that your code stays private when using our products. If you still have questions or reservations, please contact support@tabnine.com