Tabnine may use the code you write and your usage data to improve its AI — though business customers have more controls over whether their code is kept.
Individual and pro users' code snippets may be retained and used to train Tabnine's AI models, potentially exposing proprietary or sensitive code to data processing beyond the immediate autocomplete function.
Cross-platform context
See how other platforms handle AI Model Training Use of Code Snippets and similar clauses.
Compare across platforms →Code you type into your IDE may contain proprietary algorithms, API keys, or sensitive business logic that could be incorporated into AI training datasets, creating intellectual property and confidentiality risks.
(1) REGULATORY FRAMEWORK: GDPR Art. 6(1)(f) legitimate interests and Art. 13 transparency obligations are directly implicated — using code for AI training requires a lawful basis separate from service delivery, and the balancing test under legitimate interests must account for the reasonable expectations of developers. EU AI Act (Regulation 2024/1689) Recital 47 and Art. 13 on transparency for AI systems are relevant. FTC Act Section 5 applies regarding material misrepresentation of data use. (2)
Compliance intelligence locked
Regulatory citations, enforcement risk, and due diligence action items.
Watcher: regulatory citations. Professional: full compliance memo.