Does Cursor Send Your Code to Its Servers?

If you are integrating AI into your workflow, a primary concern is whether or not a tool like Cursor sends your code to its servers. Security and privacy are paramount when dealing with proprietary codebases. Developers need to know exactly where their data resides and who has access to it during the inference process. While many cloud based AI tools require some level of data transmission to function, the specific implementation of that transmission determines the safety of your intellectual property.

Understanding How AI Code Editors Handle Data

Modern AI coding assistants generally function by sending context from your editor to a large language model. This context often includes the file you are currently editing, recently visited files, and sometimes a full index of your project. The question of whether the tool sends your code to its servers depends on two main factors: the indexing process and the inference process.

Indexing allows the AI to understand the relationships between different files in your repository. To provide accurate suggestions, the editor must "see" the structure of your project. Inference is the actual generation of code or answers based on a prompt. Both of these actions usually involve external servers unless the tool is designed specifically for local execution.

The Default Behavior of Cloud-Connected Editors

In most default configurations, cloud connected editors transmit fragments of your code to provide features like autocomplete and chat. This is often done via encrypted channels. The data is processed by the service provider and the model provider. Most companies provide a "Privacy Mode" or "Business Tier" that promises not to use your data for training their models. However, the code still leaves your machine during the request cycle.

Encryption and Transit Security

When code is sent to a server, it is typically encrypted using TLS while in transit. Once it reaches the server, it is decrypted so the model can process it. Some providers use zero-retention policies where the data is deleted immediately after the response is generated. Others might store logs for a limited time to debug performance or ensure safety compliance.

Privacy Settings and Opt Out Mechanisms

Most professional developers look for specific settings to limit data exposure. The "Does Cursor send my code to servers" question is often answered by checking the Privacy Mode toggle within the application settings.

1. Privacy Mode: When enabled, this usually ensures that code snippets are not stored on the provider's persistent storage or used to improve future versions of the AI model.
2. Local Indexing: Some tools attempt to keep the vector database of your code on your local disk. This means the tool scans your files locally to build a map, but individual queries containing code fragments are still sent to the cloud for processing.
3. Telemetry: Aside from code, editors send metadata about how you use the app. This includes button clicks, feature usage, and error logs. This can often be disabled in the settings menu.

The Local First Alternative with Deska

For developers who require a stricter approach to privacy, a local-first environment is often the preferred choice. Deska is a free desktop application for Mac, Windows, and Linux that prioritizes keeping your data on your own machine. Unlike tools that rely heavily on central cloud synchronization for the workspace itself, Deska ensures that your code, files, and sessions stay local.

The architecture of Deska is built around an infinite canvas. This canvas allows you to arrange multiple panels such as terminals, a code editor based on Monaco, and browser windows. Because the workspace runs locally, you do not have to worry about your file structure being mirrored to a third party server just to use the interface.

Running AI Agents Side by Side

One of the strengths of Deska is the ability to run multiple AI coding agents like Claude Code, Codex CLI, and OpenCode as panels within your workspace. These agents operate within the context you define. Because Deska supports a BYOK (Bring Your Own Key) model for the lifetime tier, you have direct control over which API provider receives your data. This creates a transparent relationship between your machine and the model provider.

Secure Remote Monitoring

Even when you need to access your work on the go, privacy remains a core component. The Deska mobile app allows you to monitor and continue work from your phone through a secure relay. Devices pair directly without exposing ports to the public internet. This avoids the need for a centralized cloud database to store your active code sessions. You can learn more about how this works in the data and storage documentation.

Comparing Data Privacy Approaches

When evaluating different tools, it is helpful to see how they handle various data types.

Security Best Practices for AI Coding

Regardless of the tool you choose, you should follow these best practices to ensure your code remains secure:

• Read the Privacy Policy: Always check if the tool uses your data for "model improvement" or "training."
• Use Enterprise Tiers: If you are working on sensitive commercial projects, the enterprise versions of most tools offer better legal guarantees.
• Audit Extensions: Many security leaks come from third party extensions rather than the core editor. Limit the number of plugins you install.
• Leverage Local Models: If your hardware permits, use tools that can interface with local LLMs via providers like Ollama or local inference servers.

FAQ

Does Cursor send code for training?

By default, many AI editors may collect data to improve their services. However, most have a specific Privacy Mode or settings toggle that allows you to opt out of data collection for training purposes. You should verify this in the current version of the application settings.

How to use Cursor offline?

Most AI features require an internet connection to reach the large language models. While the basic text editing features work offline, the AI chat and autocomplete functions will generally be disabled without a connection to the server.

Is my code safe with AI assistants?

Safety depends on the specific tool and its data retention policy. Using a local-first tool like Deska ensures your workspace and files stay on your machine, while using your own API keys gives you visibility into which data is sent to the model provider.

Get Started with Private Local Development

If you are looking for a workspace that respects your privacy while giving you the power of AI, Deska offers a unique solution. By combining an infinite canvas with the ability to run coding agents side by side, you get the best of both worlds. You can use your own API keys to maintain control over your data while enjoying a modern, flexible developer environment.

Download Deska today and experience a local-first workflow designed for the modern developer. Visit /download to get the free app for your operating system.