GitHub Copilot Data Training Policy Update: Opt-Out Instructions

🚨 Most developers ignore platform notifications. That’s risky. Today I noticed an important update from GitHub regarding GitHub Copilot interaction data and AI model training. Starting April 24, GitHub states that Copilot interaction data may be used for AI model training unless users choose to “opt out”. Many developers still don’t fully understand what “opt out” means. Simple meaning: • If you do nothing → the feature remains enabled • If you opt out → you manually disable participation This is a reminder that: • privacy settings matter • AI tools may use interaction data • developers should read platform updates carefully • platforms often expect users to manage their own preferences and privacy settings Important: This update is about GitHub Copilot interaction data — not simply pushing code to GitHub repositories. As developers, we should understand the tools we use daily instead of blindly accepting every update. You can review your settings here: GitHub → Settings → Copilot → Privacy / Data Controls → “Allow GitHub to use my data for AI model training” → Enable/Disable Official update from GitHub: https://lnkd.in/diCddST8 Have you checked your GitHub Copilot privacy settings yet? #GitHub #GitHubCopilot #AI #Privacy #DeveloperAwareness #SoftwareEngineering #Programming

GitHub just quietly announced they'll train AI models on your Copilot interaction data starting April 24. If you're on Free or Pro, you're opted in. By default. That means your prompts, accepted suggestions, code context around the cursor, file names, repo structure, navigation patterns — all of it feeding the next generation of Copilot models. Here's the thing most people are missing: Business and Enterprise accounts are exempt. Read that again. GitHub is basically telling you that your company's code is training data — unless you're paying enterprise rates. That's not a privacy policy. That's a pricing strategy. What to do before April 24: ✅ Audit which Copilot plan every developer is on ✅ If you're on Pro — go to Settings → Copilot → toggle off data training ✅ If you're building anything regulated (finance, healthcare, gov) — upgrade to Business. The $19/seat is cheaper than the compliance conversation later ✅ Document your AI tool data policies. Your clients will ask. This isn't about being paranoid. It's about knowing where your intellectual property goes before someone else decides for you. What's your team's policy on AI tool data? Or is that conversation still "on the list"? #EnterpriseAI #GitHubCopilot #DevTools #CTO #AIGovernance

GitHub has announced that starting April 24, interaction data from Copilot Free, Pro, and Pro+ users will be used to train its AI models. Users are opted in by default and must manually disable the setting. Copilot Business and Enterprise users are excluded. The scope includes accepted or modified outputs, code snippets, repository structure, navigation patterns, and more. Private repository code can be collected when actively working with Copilot. Collected data may also be shared with Microsoft and its subsidiaries. Community reaction has been largely negative. Developers have called the opt-in-by-default approach a dark pattern, raised concerns about model collapse from training on AI-generated code, and flagged potential GDPR issues with GitHub's "legitimate interest" basis for processing personal data. For organizations, the policy creates a practical risk: individual users on personal-tier licenses could inadvertently expose proprietary code if they don't opt out. GitHub's FAQ clarifies that data from paid organization repositories is excluded regardless of subscription tier. If you're a Copilot user, check your settings before April 24. #github #copilot #ai #privacy #gdpr #opensource #softwaredevelopment https://lnkd.in/eyDcuKkJ

GitHub is about to train AI on your code. Starting April 24, every GitHub Copilot Free, Pro, and Pro+ user will have their code, inputs, outputs, file names, repo structure, and navigation patterns fed into Microsoft's AI models. By default. Unless you opt out. What they collect: - Every code snippet shown to Copilot - Code context around your cursor - Comments and documentation you write - File names and repo structure - Your feedback on suggestions - Interactions with Copilot chat They enabled this by DEFAULT. Most developers will never know. How to opt out (30 seconds): 1. Go to https://lnkd.in/e7nDJf4K 2. Scroll to Privacy 3. Uncheck "Allow GitHub to use my data for AI model training" 4. Uncheck "Suggestions matching public code" 5. For your org: org settings > Copilot > Policies > Block 6. Repeat for every GitHub org you own This is the same company that trained Copilot on public repos without consent and got sued for it. Now they want your private code too. Microsoft spent $7.5B on GitHub. They are not running it as a charity. Your code is your IP. Your architecture, your algorithms, your business logic. Once it enters a training pipeline, it never comes out. The worst part? Most of these settings are enabled by DEFAULT and buried in settings pages nobody visits. That is not informed consent. That is a dark pattern. Want to know which tools actually respect your privacy vs which ones sell your data? We built a free AI Privacy Audit tool at noizz.io that scores any platform on privacy, transparency, and user rights. Compare GitHub vs GitLab vs self-hosted alternatives in 10 seconds. Run your free audit: noizz.io/compare Share this so every developer sees it before April 24. #GitHubCopilot #PrivacyFirst #OpenSource #DeveloperTools #DataPrivacy #Microsoft #AI #CodePrivacy #DevSec

GitHub's upcoming policy shift on Copilot data—using interaction data to train models by default starting April 2026—raises an important question for our industry: who owns the intelligence generated during development? This isn't just a privacy issue. It's about the feedback loop that makes AI coding tools better. Every autocomplete, every rejection, every edit is training signal. GitHub is essentially saying: "Your coding patterns belong to us, unless you opt out." For teams building with AI agents, this matters deeply. If you're using Copilot while developing agentic systems, your architectural decisions, error patterns, and problem-solving approaches are being absorbed into the next generation of models. That's powerful for the ecosystem—but it also means you're contributing to the competitive landscape without explicit choice. The opt-out mechanism is important, but opt-out policies historically have low adoption rates. Most developers won't know this changed, let alone how to disable it. We think developers deserve clarity here: understand what data you're contributing, what it trains, and whether that aligns with your company's IP strategy. For enterprises building proprietary agents, this is a conversation worth having with your legal and security teams now—before April 2026. The broader lesson? As AI tools become infrastructure, the terms of engagement matter. The models that power our work are shaped by collective data. That's a feature, not a bug. But it should be intentional. What's your take—does this change how you think about using AI coding assistants? #AI #Developers #AgenticEngineering #GitHub

GitHub Copilot data usage is changing—here’s what to know before April 24 ⚠️ Using GitHub Copilot? A privacy + ToS update could affect how interaction data is used. GitHub says that starting April 24, it will begin using Copilot interaction data—inputs, outputs, code snippets, and related context—from Copilot Free, Pro, and Pro+ users to train/improve AI models, unless opting out. ✅ Not affected: Copilot Business + Copilot Enterprise. What clicking the link gets: 🔎 A clear breakdown of what changed in the Privacy Statement and Terms of Service 🧠 The specifics on AI model training and what data is included 🛡️ How GitHub describes safeguards (filters, de-identification) 🌍 Notes for EEA/UK users on “legitimate interest” as the lawful basis 🏢 What “sharing with affiliates (incl. Microsoft)” means—and how opt-out preferences travel with shared data If Copilot is part of daily workflow, this is worth reading—and discussing. https://lnkd.in/dVnmDd3S #GitHub #Copilot #Privacy #TermsOfService #AI

🚀 GitHub Limits AI Usage: Cost Reduction and Improvement in Service Quality GitHub, the leading software development platform, has announced restrictions on the use of its artificial intelligence tools, such as GitHub Copilot, with the aim of optimizing resources and enhancing the user experience. This measure responds to the exponential growth in AI demand, which has significantly increased operational costs. 🤔 Why Implement These Limits? The decision arises from the need to balance accessibility with sustainability. Intensive use of AI models generates high computing costs, and without controls, it could compromise the service stability for everyone. 🔹 Main Changes in AI Usage - Limits on daily requests for free and basic plans, avoiding abuse and prioritizing active developers. 📊 - Adjustments in token consumption for complex queries, which reduces costs by 30-50% according to internal estimates. 💰 - Improvement in response prioritization, ensuring greater accuracy and speed for premium users. ⚡ - Upgrade options for teams that require greater capacity, promoting scalable enterprise plans. 🏢 These limits not only help GitHub maintain accessible prices but also drive more efficient and ethical AI in the development ecosystem. For more information visit: https://enigmasecurity.cl #GitHub #ArtificialIntelligence #SoftwareDevelopment #Technology #Copilot #TechInnovation Connect with me on LinkedIn to discuss trends in AI and cybersecurity: https://lnkd.in/dj8wrubg 📅 Tue, 21 Apr 2026 16:45:00 +0200 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

Is your private code being used to train AI? GitHub recently updated its Copilot interaction data usage policy, and if you’re using Copilot Free, Pro, and Pro+, you need to check your settings immediately. The Concern: Under the updated policy, GitHub may use "Interaction Data"—which includes code snippets from your editor—to train and improve their underlying AI models. This applies even if you are working within PRIVATE repositories. While GitHub states this is to improve the product, for many developers and companies, this represents a privacy and intellectual property risk. If you are handling proprietary logic or sensitive data, you likely do not want that code feeding into a global model. How to opt-out and protect your code: If you want to ensure your private code stays private, follow these steps right now: 1️⃣ Log into your GitHub account. 2️⃣ Go to **Settings** (click your profile picture in the top right). 3️⃣ In the left sidebar, find the "Code, planning, and automation" section and click on **Copilot**. 4️⃣ Look for the section titled **"Allow GitHub to use my code snippets for product improvements."** 5️⃣ **Uncheck** that box. 6️⃣ Click **Save**. Note: If you are on a Copilot Business or Enterprise plan, your code snippets are generally not used for training by default, but it is always worth verifying your organization's specific policy settings with your admin. Don't let your proprietary IP become part of a public data set. Take 60 seconds to audit your privacy settings today. Full details on the update here: https://lnkd.in/eVqhRGcq #GitHub #Copilot #AI #Privacy #SoftwareEngineering #Coding #CyberSecurity #DataPrivacy #TechNews

I cancelled my GitHub Copilot subscription today. Not because it's bad. Because something better replaced it. A few weeks ago I disabled it to test other AI tools. Since then I've only turned it back on twice and immediately turned it off again. The only thing I actually missed was inline code completion. And honestly? I'm writing less and less code anyway. The tools I've picked up since are better at the work I'm actually doing now: architecture, product decisions, and prompting. Copilot was built for how I worked a year ago. The tools replacing it were built for how I work today. My OpenAI subscription is probably next. Not because ChatGPT is bad, but because other tools are catching up and pulling ahead in the areas I actually use daily. The AI tooling space is moving so fast that the best tool from six months ago might not even make your shortlist today. What tools have you swapped out recently? What replaced them? #aitools #githubcopilot #github #openai #claudecode #codex