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Product Data Collection and Usage Notice
Version 1.6, last updated: July 7, 2026
Our Commitment to Transparency and Innovation
In this Product Data Collection and Usage Notice, as part of our commitment to transparency, we describe what types of data (such as analytics) we collect, why we collect it, and the controls you have when interacting with our products. More details on collecting data in general are available in our Privacy Notice.
Any request for such data will be transparent, clearly communicated through opt-in mechanisms, and subject to user control, with the ability to withdraw consent at any time.
1. What Data We Can Collect
To improve our products and build our next-generation AI features, we may collect four primary categories of data:
a) Anonymous telemetry: This includes generalized, anonymous statistics about your interactions with IDE features. It includes feature usage insights such as time spent on the project or mouse clicks.
b) Operational and product metadata: If you use any products under the JetBrains AI Terms of Service, JetBrains collects pseudonymized operational and product metadata, such as API call counts and error rates. This data is used for product improvement. Unless you provide us with your consent, we do not use this data for any marketing activities. We also do not train our AI on this data.
c) Event-based data: We may also collect pseudonymized session data. This data is used for product improvement, and we apply extensive masking protection of session fields, so the collected data does not include any direct personal identifiers, source code, uploaded files or user prompts. We do not train our AI on this data.
d) Behavioral data collection: The JetBrains AI service can collect this data to analyze product usage, improve product features, and train machine learning (ML) models that control the behavior of different product features (for example, controlling the automatic activation of ML features). It is not used for training ML models that generate code or text, or for other types of data from which outputs can be extracted. Behavioral data does not include any personally identifiable data or any source code files or fragments from the user project.
e) Web-based products: We may collect and store trackers such as cookies when using web-based products. For more details, visit this link.
f) Detailed code-related data: This data collection includes general IDE usage, such as terminal usage (command runs) or edit history, and utilizes analytics from your AI features usage. This includes complete data about interactions with large language models. This means the full text of inputs sent by the IDE to the large language model and its responses, including source code snippets. The data collected may contain personal, business, or project-specific information. Detailed code-related data can be used for product improvement and training AI models. We do not collect Detailed code-related data from our commercial users unless explicit, informed consent has been obtained in advance. We have a safeguard in place that disallows data sharing for organizations unless there's an explicit permission on a company level. We apply a 1-year data retention period for this data.
Note that these data sharing preferences, once configured, apply to all installed JetBrains products. Detailed data is not currently collected in China.
Detailed code-related data can be collected in the JetBrains IDEs as of the following versions: