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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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No More Paying for Adobe?! 😳 Someone used AI to rebuild Photoshop, Premiere, Lightroom and 4 more Adobe apps as completely free, open-source software, and it’s all on GitHub. The project is called ArtCraft. It’s built in Rust with Claude Opus 5.5 and runs on Windows, Mac and Linux. The apps are still in early alpha, but they’re improving fast. The developer says he made it after getting hit with Adobe’s cancellation fee one too many times. Mizkif reacts and explains why he thinks Adobe stock is
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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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이번 주 개발자가 놓치면 안 될 GitHub 트렌딩 Top 10 (10월 2주)
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Apprendre Python en 30 jours ✅ #python #github #developpeur #softwareengineer #computerscience
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Bluey — desktop and iOS AI companion built with Opus 5.5
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SCM Finds the Exact Second SCM is the local search app that actually finds the specific second in your video library. You know that feeling when you remember a scene from a home video but can’t find the file? This solves that. It watches your folders and uses artificial intelligence on your Mac to understand what is happening in every frame. You can search for a moment, like a sunset, and it jumps you straight to that shot, not just the video file. It even finds spoken words and text on screen w
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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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