🚨 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 to Train Copilot on User Code without Consent
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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
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GitHub Copilot Data Policy: What Developers Need to Know Before April 24 GitHub is updating its data training policy on April 24, 2026. If you use a personal Copilot account (Free, Pro, or Pro+), your code interactions will be used to train their AI models by default unless you manually opt out. For many of us working on proprietary logic, niche architectures, or sensitive backend services, this is a "check your settings" moment. The Breakdown: What’s being collected: Your prompts, code snippets used for context, and the suggestions you accept or reject. The Default State: It is Opt-Out. You are automatically included unless you change the setting. Excluded Accounts: Copilot Business and Enterprise users are not affected by this specific change. How to Opt-Out (Step-by-Step): Navigate to your GitHub Settings. Select Copilot from the left sidebar. Click the Features tab (or check the Privacy section). Find: "Allow GitHub to use my data for AI model training." Change the selection to Disabled. While AI training helps improve the tools we use daily, privacy and data sovereignty should always be a conscious choice. Take 30 seconds today to ensure your settings align with your (or your client’s) privacy requirements. #GitHub #Copilot #SoftwareEngineering #DataPrivacy #AI #WebDev #OpenSource #Programming #CyberSecurity
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GitHub’s New Policy: Your Interaction Data is the New Dataset If you’re a solo dev or freelancer GitHub just pushed a policy update that changes how "private" your private repos actually are. Starting April 24, 2026, Microsoft is flipping the switch to use your Copilot interaction data this including code snippets, prompts, and file context to enable them to train their AI models. If you’re on a Free, Pro, or Pro+ tier, you’re the training set. If you’re on Enterprise or Business, you’re safe (for now). To stop your snippets from leaking into the global model, you have to manually kill the setting: - Go to Settings > Copilot > Features - Find the Privacy section. - Uncheck "Allow GitHub to use my data for AI model training." Note: If you already opted out of product improvements in the past, GitHub says they’ll respect that. It’s worth a double check just to make sure. #GitHub #Copilot #Privacy #TechNews #DataPrivacy #OpenSource
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GitHub just paused new sign-ups for Copilot. Not because of a bug. Not because of a breach. Because AI agents are using so much compute that they can't keep up with demand. Think about that for a second. The tools that help developers write code are now so powerful that GitHub literally had to pump the brakes. They've also removed their most powerful model (Opus) from standard plans because it costs too much to run at scale. Meanwhile Kimi just dropped an open-source model that's beating closed-source competitors on coding benchmarks. And OpenAI is about to launch GPT Image 2. The AI race isn't slowing down. It's accelerating so fast that even the biggest players can't keep their infrastructure ahead of demand. For UK businesses this means one thing: the cost of NOT adopting AI is going up every single day. The tools are getting better, the competition is getting smarter, and waiting is the most expensive option. At Altura we're helping businesses in Sheffield and across the UK build AI systems that save real time and money. Not hype, not theory. Working automations that pay for themselves. If you're still on the fence, the fence is shrinking. Drop me a message.
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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
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Developers: you may want to check your GitHub settings before April 24. GitHub is updating its policy so interactions with personal repositories may be used for AI model training. If you’re using personal repos and don’t want that data included, you’ll need to opt out manually. Copilot Business and Enterprise users are not affected. Official announcement: https://lnkd.in/eMXCDsuF To opt out: Profile → Settings → Copilot → Features → Privacy Are you opting out, or are you fine with your repos being used for training? On one hand, they are public. Any unscrupulous actor could already be using them. If you're already using GitHub Coding Agent, it may improve your experience. An option to differentiate training on public vs private repos might make the decision easier. The blog announcement linked above includes this statement under what will not be used for training irrespective of your choice: *Content from your issues, discussions, or private repositories at rest. We use the phrase “at rest” deliberately because Copilot does process code from private repositories when you are actively using Copilot. This interaction data is required to run the service and could be used for model training unless you opt out.* Interaction data is defined as: "specifically inputs, outputs, code snippets, and associated context." That sounds like it includes commits. #github #ai #developer #dataprivacy #softwaredevelopment
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GitHub Copilot + CLI = faster dev workflows. AI in the terminal is no longer a future thing. GitHub Copilot CLI helps you code, test, and iterate faster. https://lnkd.in/eWmnXQwW
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GitHub’s recent Copilot individual plan changes were a pretty stark reminder that AI coding economics are starting to bite: • New sign-ups for Pro, Pro+ and Student are paused • Individual usage limits have been tightened • Pro+ now offers more than 5x the limits of Pro • Usage limit warnings are now shown in VS Code and Copilot CLI • Opus models are no longer available on Pro • Opus 4.5 and 4.6 are being removed from Pro+ Github Copilot has long offered incredible value for money in the AI coding landscape, but AI coding assistants have evolved rapidly and new use cases are intensifying LLM consumption. Github specifically calls out agentic, long-running and parallelised workflows as challenging their infrastructure and pricing structure. One interesting consequence of these changes is that using Anthroptic's best model Opus 4.7 now burns through your allowance 7.5x faster than Open AI's best model GPT 5.4. Whilst the overall cost of intelligence continues to decrease, the cost of being at the forefront with the best approaches, models and capabilities of the moment are beginning to come at more of a premium. Full detail of changes here: https://lnkd.in/eRX_Ti5e #GitHub #GitHubCopilot #AI #Claude #OpenAI
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Below repo can not only act as a Reference Architecture/Design on how to build Agentic Coding tools from scratch but you can go through the source & understand it (or use ChatGPT) to grab (novel) ideas/stategies/techniques used in such open source repos & those can/might serve to be useful in some other types of your project specific Agentic Business apps e.g. ADP[Agentic Document Processing], APA[Agentic Process Automation] etc.
Senior Solution Architect | Enterprise AI Platforms from Strategy to Production | GenAI, MLOps, FinOps
I just dissected Microsoft's HVE Core - their open-source prompt engineering framework for GitHub Copilot. Here's what stood out: 50+ specialized AI agents, 100+ auto-applied coding instructions, ~50 CI/CD workflows. All MIT-licensed. But the real story is the architecture. 1️⃣ RPI Methodology (Research → Plan → Implement). Each phase is a separate agent with hard constraints. The researcher cannot plan. The planner cannot write code. The implementor needs a completed plan. This prevents AI from hallucinating its way through your codebase. 2️⃣ SHA-pinning with lock files for GitHub Actions. They built a custom PowerShell pipeline that verifies every Action is pinned by SHA, checks tag-to-SHA consistency, and detects stale references. This is supply chain security done right - not just Dependabot alerts, actual enforcement. 3️⃣ Agentic Workflows via gh-aw. Five of their CI/CD workflows are AI-driven - issue triage, PR review, issue implementation, dependency review, and doc freshness checks. Written as markdown prompts, compiled to locked YAML. Your CI/CD pipeline now has judgment. My take: Most teams treat Copilot as autocomplete on steroids. HVE Core treats it as an engineering system with constraints, audit trails, and delegated authority. That gap matters. The security pipeline alone - 7 layers including CodeQL, gitleaks, pip-audit, custom permission auditing, and OpenSSF Scorecard - is worth studying regardless of whether you use Copilot. If you're building AI-augmented engineering workflows, this is the blueprint. Clone it, read the agent contracts, study the RPI flow. https://lnkd.in/e73nBpwu #GitHubCopilot #AIAgents #DevOps #CICD #SupplyChainSecurity #PromptEngineering #SoftwareEngineering #Microsoft #OpenSource #AgenticAI
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