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Git and GitHub are not the same thing. 🧵 Git is a version control system that runs on your machine. GitHub is a website that hosts Git repositories. That's it. Here's the whole mental model in one picture — a change has to CLIMB: 📄 Your working directory — you edited a file, nothing is saved yet 📦 The staging area —
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Git and GitHub are not the same thing. 🧵 Git is a version control system that runs on your machine. GitHub is a website that hosts Git repositories. That's it. Here's the whole mental model in one picture — a change has to CLIMB: 📄 Your working directory — you edited a file, nothing is saved yet 📦 The staging area —
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An introduction to the new GitHub Copilot CLI
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An introduction to the new GitHub Copilot CLI
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Manage Your Flow with GitHub Issues and Projects
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Manage Your Flow with GitHub Issues and Projects
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Assign GitHub Copilot License Without Enterprise | Team & User Setup Explained
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3 AI Projects That Can Actually Make Your GitHub Portfolio STAND OUT in 2026 🚀 If you’re learning AI Engineering, Machine Learning, Generative AI or LLMs and wondering “What projects should I build to get a job?” start here. 👇 In this video, I break down 3 job-ready AI projects that you can build and showcase on your GitHub portfolio. You’ll learn: ✅ What to build ✅ Why each project matters ✅ Which AI/ML skills it demonstrates ✅ How to structure the project ✅ What to add to your GitHub README
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Instead of importing PyTorch, this project makes you build your own version of it. TrenTorch is the coding curriculum that forces you to build your own machine learning framework instead of just importing one. Most people treat neural networks like a black box, but this project makes you write every single line of code on plain NumPy to recreate the actual machinery of PyTorch. It breaks the work into twenty progressive steps, guiding you from basic math all the way to building a real language m
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Ada satu file di GitHub dengan hampir 200 ribu stars yang isinya bukan ngasih tahu Claude harus ngapain, tapi apa yang jangan dilakuin. Masukin ke Claude project lu supaya dia gak over-engineer task sederhana, gak bikin asumsi saat bingung, gak bikin perubahan random, dan selalu double-check hasilnya. https://github.com/multica-ai/andrej-karpathy-skills
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180 mil estrellas en GitHub en menos de una semana. Eso no lo hace un producto bueno. Lo hace un producto que llega en el momento exacto. Se llama DeepSeek Harness y es la respuesta gratuita de DeepSeek a Claude Code. La diferencia está en la arquitectura: aquí todo es un plugin. El modelo, las herramientas, la memoria y hasta el bucle del agente. Cambias la pieza que quieras y te construyes tu propio agente desde cero. Eso significa correrlo con cualquier modelo en local. Y sí, puedes llamar a
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Los devs escogiendo colores: “azul, porque sí”
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