The policy states that code inputs submitted to the AI assistant by free-tier users may be used to improve Tabnine's AI models by default, while paid-plan users have access to telemetry controls that can prevent this use.
This analysis describes what Tabnine's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes a default data use practice for free-tier users that includes their submitted code in AI training pipelines, with opt-out access tied to subscription tier. Enterprise compliance teams should evaluate whether this default treatment is compatible with confidentiality obligations over employee-submitted code.
Interpretive note: The exact verbatim language of this provision could not be fully extracted from the truncated document; the description is inferred from available policy text and standard Tabnine public disclosures.
Removal of explicit disclosure about code snippet usage for AI training represents either elimination of the practice or relocation to other policy documents, reducing transparency about model training data sources.
View full change record →Current version simplifies the provision, removes mention of Enterprise customers, and adds that paid plan users can disable telemetry to opt out of model training (shifting from Enterprise-only protection to user-configurable settings).
View full change record →Under this clause, free-tier users' code submissions are subject to AI model training use by default unless opt-out steps are taken. Paid plan holders have access to a telemetry setting that, when disabled, restricts this processing.
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"We may use code snippets that are submitted by users as part of the AI assistant functionality to improve and train our AI models. Free tier users' code snippets may be used for this purpose by default. Users on paid plans may disable telemetry to prevent their code from being used for model training.Excerpt from Tabnine's Privacy Policy
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This provision establishes a default data use practice for free-tier users that includes their submitted code in AI training pipelines, with opt-out access tied to subscription tier. Enterprise compliance teams should evaluate whether this default treatment is compatible with confidentiality obligations over employee-submitted code.
Under this clause, free-tier users' code submissions are subject to AI model training use by default unless opt-out steps are taken. Paid plan holders have access to a telemetry setting that, when disabled, restricts this processing.
ConductAtlas has identified this type of provision across 290 platforms. See the full comparison.
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