TL;DR

GitHub just flipped the switch on data collection. Starting April 24, 2026, all Copilot Free, Pro, and Pro+ users will have their interaction data (prompts, code snippets, suggestions, file context) used to train AI models unless they manually opt out. Business and Enterprise tiers are exempt. The developer community is furious, and you have about 30 days to change your settings.

What GitHub Actually Changed

On March 25, GitHub updated its Privacy Statement and Terms of Service. The core change: interaction data from Copilot Free, Pro, and Pro+ users will feed into AI model training by default. Previously, this required opt-in consent.

The announcement came through a GitHub Blog post and an update to the GitHub Changelog. The new policy takes effect April 24, 2026.

GitHub’s Chief Product Officer Mario Rodriguez justified the change by citing internal testing: models trained on Microsoft employee interaction data showed “increased acceptance rates in multiple languages” compared to models built on public code and synthetic samples alone.

Translation: your real coding sessions make better training data than anything they can generate artificially.

What Data Gets Collected

Here’s what GitHub considers “interaction data” under the new policy:

  • Inputs: every prompt you type into Copilot
  • Outputs: every suggestion Copilot generates for you
  • Accepted code snippets: what you actually kept
  • Cursor context: where you were in the file when you triggered a suggestion
  • Comments and file names: structural context around your code
  • Repository structure: how your project is organized
  • Navigation patterns: how you move through files
  • Feedback signals: thumbs up/down ratings on suggestions

That’s broad. If you interact with Copilot while working on a private repo, the interaction data from that session is fair game, even though GitHub says it doesn’t train on the private repo content “at rest.”

The distinction is subtle and worth understanding: GitHub won’t scrape your private repo directly. But the code snippets, prompts, and suggestions generated while you’re working in that repo can be collected. If you paste a proprietary function into a Copilot chat to ask for help, that snippet becomes interaction data.

Who Is Affected (and Who Isn’t)

Affected:

  • Copilot Free users
  • Copilot Pro users ($10/month)
  • Copilot Pro+ users ($39/month)

Not affected:

  • Copilot Business users ($19/user/month)
  • Copilot Enterprise users ($39/user/month)
  • Students and teachers using Copilot through GitHub Education

The split is telling. Enterprise and Business customers, the ones with legal departments and compliance requirements, keep their data private. Individual developers pay less but hand over more. For a breakdown of what each Copilot tier actually costs, see Cursor vs GitHub Copilot Pricing 2026.

How to Opt Out

You have until April 24, 2026. Here’s what to do:

  1. Go to github.com/settings/copilot
  2. Find the Privacy section
  3. Disable “Allow GitHub to use my data for AI model training”

That’s it. One toggle.

If you previously opted out of GitHub’s data collection for product improvements, your preference carries over — you don’t need to do anything new. But if you never touched that setting, you’re opted in by default under the new policy.

For organizations on Business or Enterprise plans, admins can enforce data handling policies at the org level. Individual users on those plans don’t need to worry.

Where Your Data Goes

GitHub says the collected data may be shared with “affiliates, including Microsoft.” No third-party AI model providers or independent service providers will receive it.

But “affiliates including Microsoft” is a wide net. Microsoft runs Azure OpenAI Service, GitHub Copilot itself, and a growing stack of AI products across Office, Windows, and developer tools. Your Copilot interaction data could theoretically improve models powering products you’ve never used.

The Developer Backlash

The community response has been overwhelmingly negative. On the GitHub Changelog post, users left 59 thumbs-down emoji votes and just 3 rocket ships. Out of 39 comments, only GitHub’s VP of Developer Relations Martin Woodward offered anything resembling support.

The complaints follow a pattern:

“We’re the product now.” Developers on the free tier already understood the trade-off — free tool, some data collection. But Pro and Pro+ users paying $10-$39/month feel blindsided. Paying customers expect their data to stay private.

“Opt-out is not consent.” The EU’s GDPR framework generally requires explicit consent for data processing changes. GitHub operating on an opt-out basis for training data puts them in murky territory, especially for European users. No enforcement action yet, but privacy advocates are watching.

“Private repo data isn’t really private.” The distinction between “repository content at rest” and “interaction data generated while working in a private repo” feels like a loophole. If I ask Copilot to refactor a proprietary algorithm and it captures the input, output, and context, my private code is in the training set regardless of the label.

Why GitHub Is Doing This Now

Three factors are driving this move:

1. Training data competition. OpenAI, Anthropic, and Google all have access to massive datasets. GitHub sits on the largest collection of code interaction data in the world — over 100 million developers, millions of Copilot users generating real coding sessions daily. Until now, they’ve barely tapped it.

2. Copilot’s competitive position is slipping. Cursor grew from a niche tool to a serious threat over the past year. Claude Code from Anthropic launched agent-based coding that works across entire codebases. Windsurf (now owned by Cognition) offers aggressive pricing. GitHub needs better models to compete, and better models need better data.

3. Microsoft’s AI spending demands ROI. Microsoft is spending approximately $145 billion on AI infrastructure in 2026. That level of investment requires every Microsoft property to contribute to the AI flywheel. GitHub’s 100M+ developer base is one of the most valuable data assets in that portfolio.

What This Means for Your Workflow

If you opt out, nothing changes in your Copilot experience. At least for now. GitHub hasn’t announced any feature restrictions for users who disable data collection.

If you stay opted in, your coding sessions contribute to future model improvements. Whether that trade-off is worth it depends on what you’re building:

Low risk: Open-source projects, personal experiments, learning exercises. The code is already public.

Medium risk: Freelance work, side projects with vague NDAs, startups in stealth. Your code patterns and architecture decisions leak into training data, but individual snippets are unlikely to surface in outputs.

High risk: Enterprise code on a personal Copilot account, proprietary algorithms, anything covered by client confidentiality agreements. If your company hasn’t set up Copilot Business, you’re potentially exposing proprietary work through interaction data.

The Bigger Pattern

GitHub isn’t the first to make this move. Google changed Gemini’s data retention policies in late 2025. OpenAI’s ChatGPT has always trained on free-tier conversations. Adobe sparked outrage with similar Terms of Service changes for Creative Cloud.

The playbook is consistent: launch a product with privacy-friendly defaults to build trust and market share, then gradually expand data collection once the user base is locked in. Opt-out framing gives the appearance of choice while ensuring most users never change the default.

For developers specifically, this creates an uncomfortable dynamic. The tools that make us more productive are trained on our work. We generate the data that improves the product that we then pay for. The value loop is obvious. The question is whether the terms are fair.

FAQ

Does this affect code in my private repositories?

Not directly. GitHub says it won’t train on private repo content “at rest.” But interaction data generated while you work in a private repo — your prompts, Copilot’s suggestions, code snippets you accept. All of it gets collected. The practical effect is that fragments of your private code can end up in training data.

What happens if I opt out after April 24?

GitHub will stop collecting new interaction data for training. It’s unclear whether data collected between April 24 and your opt-out date will be removed from training sets, or if it remains in already-trained models.

Will opting out make Copilot worse for me?

GitHub hasn’t announced any feature differences between opted-in and opted-out users. Today, both get the same Copilot experience. Whether that stays true long-term is anyone’s guess.

The legality is debatable. GDPR generally requires explicit consent for new data processing purposes, and switching from opt-in to opt-out could be challenged. No regulatory action has been taken yet, but European data protection authorities have been active on AI training data issues.

Should I switch to a different AI coding tool?

That depends on your priorities. Cursor and Claude Code both offer strong alternatives with different data policies. But every AI coding tool faces the same tension between model quality and user data privacy. Read the fine print before switching — you might be trading one set of trade-offs for another.

Bottom Line

GitHub gave you 30 days’ notice and buried the announcement in a changelog update. If you use Copilot Free, Pro, or Pro+ and care about where your code ends up, go to your settings and flip the toggle before April 24. It takes ten seconds. The fact that GitHub made this opt-out instead of opt-in tells you everything about whose interests come first.