GitHub to Train AI on User Code by Default

🚨 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 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

Big news for those working in restricted or air-gapped environments: - GitHub Copilot CLI now supports local models and BYOK. I’m often asked if Copilot can work offline or in secure zones—now it finally can. Check out the update: https://lnkd.in/eVk5Ac_k #GitHubCopilot #AI #Privacy #DevOps

Action Required: Disable GitHub Copilot's New Data Training Policy If you use GitHub Copilot, there is a critical update you need to know about. Starting April 24, 2026, GitHub will begin using your interactions, including code snippets, inputs, and outputs, to train its AI models by default for Free, Pro, and Pro+ accounts. While AI advancement is exciting, many developers and companies have strict privacy requirements regarding their proprietary logic and data flow. How to opt-out (in under 60 seconds): Go to your GitHub Settings. Click on Copilot in the left-hand sidebar. Look for the dropdown: "Allow GitHub to use my data for AI model training". Change the selection to "Disabled". Why this matters: IP Protection: Ensure your unique solutions don't inadvertently influence future model outputs. Privacy: Keep your active session context private. Consent: This is an "opt-out" system, meaning it's active unless you manually turn it off. Note: This change does not currently apply to Copilot Business or Enterprise tiers, but it’s worth a quick audit for every developer to ensure your settings align with your privacy preferences. Spread the word to your fellow devs! 💻🔒 #GitHub #GitHubCopilot #DataPrivacy #SoftwareEngineering #DeveloperTips #AI Ethics

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

Dirty Dirty Dirty Github using my Data for training ! Updates to GitHub Copilot interaction data usage policy From April 24 onward, interaction data—specifically inputs, outputs, code snippets, and associated context—from Copilot Free, Pro, and Pro+ users will be used to train and improve our AI models unless they opt out. Not interested? Opt out in settings under “Privacy.” If you previously opted out of the setting allowing GitHub to collect this data for product improvements, your preference has been retained—your choice is preserved, and your data will not be used for training unless you opt in. https://lnkd.in/dc4hx-vG

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 is training Copilot on your code starting April 24 — and most developers don't even know. This is one of those silent policy updates that flies under the radar until it's too late. Starting April 24, GitHub will use all Free, Pro, and Pro+ Copilot interaction data to train their AI models. That means your code snippets, file names, navigation patterns, comments, and documentation are all going directly into their training pipeline. The kicker? It's opt-in by default. If you don't manually go into your settings and disable it before the deadline, your coding patterns become Microsoft's training data. No notification. No confirmation prompt. Just a policy update buried in a blog post. Who is exempt? Enterprise and Business plans are safe — their contracts explicitly prohibit training on customer data. But the millions of individual developers on Free, Pro, and Pro+ plans? You're in unless you act. GitHub’s CPO, cited "meaningful improvements, including increased acceptance rates" from internal tests as justification. While that's great for the product's evolution, it means the smarter suggestions you're seeing are being built on code from developers who didn't realize they were contributing. This isn't a debate about whether AI training on code is good or bad. It's about informed consent. A 30-day window quietly posted on a blog isn't consent — it's a countdown. How to fix it right now: Go to Settings → Copilot → disable interaction data sharing. Do it today. Read the official update here: https://lnkd.in/dRTzDajg #GitHubCopilot #DeveloperTools #Privacy #SoftwareEngineering #TechNews #AIAssistedDevelopment

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