Privacy & Security for AI Coding
What happens to your code when you use AI tools — data policies, enterprise privacy features, air-gapped options, and best practices for protecting sensitive codebases.
Articles
AI Coding Tools Privacy Guide: What Happens to Your Code When You Use Them?
What happens to your code when you use AI coding tools? GitHub Copilot, Cursor, and Tabnine privacy policies compared, with options for fully private local coding.
Cursor AI Tips & Tricks for Power Users 2026
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AI Coding Tool Deals, Discounts & Free Trials in 2026
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Best AI Documentation Generators & Test Writing Tools (2026)
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Common Questions
Can I run AI coding tools locally for privacy?
Yes — tools like Continue.dev with Ollama, LM Studio, or llama.cpp let you run open-source models (CodeLlama, DeepSeek Coder, Qwen2.5-Coder) entirely on your machine. Quality is improving but still lags cloud models. You need a GPU with 8GB+ VRAM for responsive code completion. Best for companies with strict data policies — your code never leaves your network.
How does Cursor handle code privacy?
By default, Cursor sends your code to its servers (which use third-party LLM APIs like Anthropic and OpenAI). Cursor offers a "Privacy Mode" that prevents your code from being used for model training. For maximum privacy, Cursor also supports connecting to local models via Ollama, keeping all processing on-device. Check Cursor's privacy policy for the most current data handling details.