Starting April 24, 2026, GitHub will introduce a major change to how it handles user data in GitHub Copilot. From that date forward, data collection for AI training will be enabled by default for most users.
This shift has sparked debate across the developer community, raising important questions about privacy, ownership, and the future of AI-assisted coding.

What’s Changing on April 24?
GitHub is updating its privacy policy to allow automatic collection of Copilot interaction data to improve its AI models.
This includes:
- Code suggestions you accept or modify
- Snippets sent to the AI model
- Cursor context (what you’re currently working on)
- Comments and documentation
- File names and repository structure
- Feedback signals (👍 / 👎 on suggestions)
According to GitHub’s product leadership, this data will help AI systems better understand real-world development workflows and deliver more accurate and secure code suggestions.
Who Is Affected?
This change applies to:
- Copilot Free users
- Copilot Pro subscribers
- Copilot Pro+ users
And importantly:
👉 It’s enabled automatically (opt-out), not opt-in
Not affected:
- Copilot Business and Enterprise accounts
- Students and educators using free Copilot Pro access
If you previously disabled data sharing, your settings will remain unchanged.
Private Repositories: Are They Safe?
GitHub emphasizes that private repositories are not passively scanned (“at rest”).
However, there’s an important nuance:
👉 If you actively use Copilot in a private repo with data sharing enabled, your interactions can still be collected.
This distinction is critical for developers working on:
- Proprietary code
- Client projects
- Sensitive systems
How to Disable Data Collection
If you don’t want your code contributing to AI training, you can opt out manually.
Steps:
- Go to your GitHub account settings
- Navigate to the Copilot section
- Open Privacy settings
- Disable:
“Allow GitHub to use my data for AI model training”
The process takes less than a minute—but it’s not enabled by default.
A Broader Industry Trend
GitHub isn’t alone in this shift. Other major players like:
- Microsoft
- Anthropic
- JetBrains
are also increasingly leveraging user data to improve AI systems.
This reflects a growing trend where user interaction data becomes a key resource for training smarter models.
Community Reaction: Mixed, but Loud
The decision to use an opt-out model has drawn criticism—especially from developers in Europe, where privacy expectations tend to be stricter.
On GitHub’s own discussion pages, feedback has been overwhelmingly negative, with significantly more downvotes than positive reactions.
The core concerns include:
- Lack of explicit consent
- Use of potentially sensitive code
- Transparency around data usage
The Bigger Question: Who Owns Your Code?
This update highlights a deeper issue in the AI era:
👉 When tools are free (or low-cost), user data often becomes the product.
For independent developers and open-source contributors, this raises legitimate concerns about:
- Intellectual property
- Code reuse in AI models
- Long-term control over their work
Final Thoughts
GitHub’s move to enable Copilot data collection by default marks a turning point in how AI development tools operate. While it promises smarter and more useful coding assistance, it also shifts more responsibility onto users to protect their data.
If you’re using Copilot—especially on personal or sensitive projects—it’s worth taking a moment to review your settings.
Because in today’s AI-driven ecosystem, what you write might not just stay in your editor—it could help train the next generation of tools.
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