Chedy of the Najjars

Finally, graduated with 18/20. thanks for the amazing experience @VectorizedIO. specially thank you to: @emaxerrno, @MaslankaMichal, @dotnwat, @KKyrimis, @_0x5d. also thanks for @mattgodbolt for everything in all the past years.

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.

ELF Format Cheatsheet

Best YouTube Channels To Learn in 2026 1. Cybersecurity – John Hammond 2. Artificial Intelligence – Andrej Karpathy 3. AI Research Breakdown – Yannic Kilcher 4. Web Development – The Net Ninja 5. Python Programming – Corey Schafer 6. DevOps – TechWorld with Nana 7. Cloud Computing – AWS re:Invent 8. Data Analytics – Luke Barousse 9. System Design – Gaurav Sen 10. Databases – Hussein Nasser 11. Low-Level Programming – The Cherno 12. Linux – Learn Linux TV 13. Networking – David Bombal 14. Math for ML – 3Blue1Brown

🚨 BREAKING: A developer on GitHub just built a tool that turns any GitHub repo into an interactive knowledge graph and open sourced it for free. It's called GitNexus. Think of it as a visual X-ray of your codebase but with an AI agent you can actually talk to. No server. No subscription. No enterprise sales call. Here's what it does inside your browser: → Parses your entire GitHub repo or ZIP file in seconds → Builds a live interactive knowledge graph with D3.js → Maps every function, class, import, and call relationship → Runs a 4-pass AST pipeline: structure → parsing → imports → call graph → Stores everything in an embedded KuzuDB graph database → Lets you query your codebase in plain English with an AI agent Here's the wildest part: It uses Web Workers to parallelize parsing across threads so a massive monorepo doesn't freeze your tab. The Graph RAG agent traverses real graph relationships using Cypher queries not embeddings, not vector search. Actual graph logic. Ask it things like "What functions call this module?" or "Find all classes that inherit from X" and it traces the answer through the graph. This is the kind of code intelligence tool enterprise teams pay thousands per month for. It runs entirely in your browser. Works with TypeScript, JavaScript, and Python. 100% Open Source. MIT License. Repo: github.com/abhigyanpatwar…

MIT's Advanced Data Structures by Prof. Erik Demaine Lecture notes: courses.csail.mit.edu/6.897/spring03…

LeetCode is HARD until you Learn these 15 Patterns: 1. Prefix Sum 2. Two Pointers 3. Sliding Window 4. Fast & Slow Pointers 5. LinkedList In-place Reversal 6. Monotonic Stack 7. Top ‘K’ Elements 8. Overlapping Intervals 9. Modified Binary Search 10. Binary Tree Traversal 11. Depth-First Search (DFS) 12. Breadth-First Search (BFS) 13. Matrix Traversal 14. Backtracking 15. Dynamic Programming Patterns

Copy-pasting PyTorch code is fast — using an AI coding model is even faster — but both skip the learning. That's why I asked my students to write by hand ✍️. 🔽 Download: byhand.ai/pytorch After the exercise, my students can understand what every line really does and connect it to the math. You can too! ---- 100% original, made by hand ✍️ Join 67K+ readers of my newsletter: byhand.ai

The Full Malloc Workflow: From User Space to Kernel Space

This free CUDA course is worth more than most CS degrees. 12 hours that separate library users from GPU engineers. I watched senior devs struggle with concepts taught in hour 3. What makes it different: No hand-waving. No "just use this library." You build an MLP trainer FOUR times: → PyTorch (the easy way) → NumPy (getting harder) → C (now we're cooking) → CUDA (chef's kiss) Same model. Same dataset. Four implementations. By the end, you understand WHY PyTorch is fast. The curriculum nobody else teaches: ➡️ GPU architecture (not just "it's parallel") ➡️ Writing kernels that don't suck ➡️ Profiling at kernel AND system level ➡️ When cuBLAS helps (and when it doesn't) ➡️ CUDA vs Triton (the comparison you need) ➡️ PyTorch extensions (actually useful ones) Real talk: ➡️ After this course, you'll read PyTorch source code and understand it. ➡️ You'll optimize models other engineers can't touch. ➡️ You'll be the person teams hire to make things fast. Created by @elliotarledge 💪 12 hours. Free. No excuses. Who's starting this weekend? (I will put the details in the comments.) ♻️ Repost to save someone $$$ and a lot of confusion. ✔️ You can follow @techNmak, for more insights.

Good read: "GPU Cache Hierarchy: Understanding L1, L2, and VRAM" charlesgrassi.dev/blog/gpu-cache…

Adding Two Arrays in GPU

𝗔 𝗹𝗶𝘀𝘁 𝗼𝗳 𝗵𝗲𝗹𝗽𝗳𝘂𝗹 𝘁𝗼𝗼𝗹𝘀 𝗶𝗻 𝗮 𝗟𝗶𝗻𝘂𝘅 𝘀𝘆𝘀𝘁𝗲𝗺 🔹𝗽𝗶𝗱𝘀𝘁𝗮𝘁 - monitors how much of the system's resources, such as CPU, memory, device IO, task switching, and threads, are being used by all or a specific set of programs. 🔹𝗻𝗲𝘁𝘀𝘁𝗮𝘁 - displays ICMP, IP, TCP, and UDP protocol statistics. 🔹𝗹𝘀𝗼𝗳- lists open files of the current system. 🔹𝗶𝗼𝘀𝘁𝗮𝘁 - reports the system's CPU and input/output information. 🔹𝘃𝗺𝘀𝘁𝗮𝘁 - reports data on CPU activity, block IO, memory, processes, paging, and traps. Image: Brendan Gregg

Isometries in Poincare's disk model shadertoy.com/view/3c3fR8

I wrote a new post showing how to write LLVM transformation passes. Check it out!! #llvm #blogpost #cpp #tutorial dev.to/cppchedy/writi… #LLVM #cpp #compiler #blogpost

Copy-pasting PyTorch code is fast — using an AI coding model is even faster — but both skip the learning. That's why I asked my students to write by hand ✍️. 🔽 Download: byhand.ai/pytorch After the exercise, my students can understand what every line really does and connect it to the math. You can too! ---- 100% original, made by hand ✍️ Join 48K+ readers of my newsletter: byhand.ai

new blog post: dev.to/cppchedy/compi…

Published new post on writing LLVM pass - check it out. #llvm #cpptutorials #blogpost dev.to/cppchedy/writi…

"I just sent 100 cover letters for jobs!" one of my students proudly told me back in late 2022, just weeks after ChatGPT first arrived. Good for that student. Fast forward to the present. "I just sent 100 cover letters for jobs..." another student told me the same thing, a bit of de javu, but this time, not proudly, but in dismay. Why? Because other students had already sent 500. And companies? They simply stopped reading the cover letters altogether. Most of my students joined the CS program because they wanted to become software engineers or data scientists. Now many of them tell me they’re anxious, because AI seems to be replacing those jobs. But here’s the truth: AI is not replacing software engineering or data science. It is replacing the old way of doing them. You don’t want to be the person reacting after a tool becomes mainstream. You want to be the first to grab a promising new tool, understand its underlying principles, and apply it intelligently — before it becomes the new baseline. There is absolutely a future for SE and DS. But that future belongs to those who understand them at a deeper level, such as by hand ✍️, to attain the truest understanding. not just how to write code or run models, but how to design systems, reason about trade-offs, evaluate results, and collaborate with AI as a thinking partner. AI won’t replace SEs or DSs. But SEs and DSs who invest in the fundamentals (e.g., design patterns, math), then elevating their work with AI will replace those who don’t. Interested in AI empowered Software Engineering --> Try Cursor byhand.ai/cursor Interested in AI empowered Data Science --> Try Zerve byhand.ai/zerve

IO devices and latency by @BenjDicken A cool animated explainer about i/o devices and associated latency planetscale.com/blog/io-device…