Sumir

How to setup your Claude code project? TL;DR Most developers skip the setup and just start prompting. That's the mistake. A proper Claude Code project lives inside a .𝗰𝗹𝗮𝘂𝗱𝗲/ folder. Start with 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 as Claude's instruction manual. Split it into a 𝗿𝘂𝗹𝗲𝘀/ folder as it grows. Add 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀/ for repeatable workflows, 𝘀𝗸𝗶𝗹𝗹𝘀/ for context-triggered automation, and 𝗮𝗴𝗲𝗻𝘁𝘀/ for isolated subagents. Lock down permissions in 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀.𝗷𝘀𝗼𝗻. There are two .𝗰𝗹𝗮𝘂𝗱𝗲/ folders: one committed with your repo, one global at ~/.𝗰𝗹𝗮𝘂𝗱𝗲/ for personal preferences and auto-memory across projects. The .𝗰𝗹𝗮𝘂𝗱𝗲/ folder is infrastructure. Treat it like one. The article below is a complete guide to 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱, custom commands, skills, agents, and permissions, and how to set them up properly.

Accurate

llmfit. Useful tool that probes hardware and tells you exactly which LLMs will actually run. - handles MoE expert offloading, picks the best quantization for your RAM, estimates tokens/sec before you even pull the weights. Essential for local dev. github.com/AlexsJones/llm…

NASA writes mission-critical flight software in C. And the rules are absolutely INSANE. > No recursion. Ever. > Every loop must have a provable upper bound. > No dynamic memory allocation after initialization. > Max ~60 lines per function. > Minimum 2 assertions per function. > Every return value must be checked. > Zero compiler warnings allowed. > Daily static analysis. Zero warnings there too. > No function pointers. > Restricted pointer dereferencing. This is how they write code at NASA / JPL for mission-critical systems.

Google isn’t trying to win the AI race. They’re trying to own the entire AI Agent ecosystem. While everyone argues ChatGPT vs Claude, Google quietly built: Models → Gemini Pro, Flash, Deep Think, Gemma Design → Stitch, Whisk, Imagen Research → NotebookLM, AI Mode Video → Veo, Flow, Google Vids Coding → Antigravity IDE, Gemini CLI, Jules Agents → A2A, ADK, FileSearch API The scary part? All of these tools talk to each other. That means: 10x faster prototypes End-to-end AI workflows Production-ready agents on GCP The next AI war won’t be model vs model. It’ll be ecosystem vs ecosystem. I mapped this stack out here: gamma.app/?utm_campaign=… Save. Share. Build.

The Great Software Meltdown

Bro making $2B and still has less than 500 followers 🤯

Chinese scientists have developed, The best shortest-path algorithm in 41 years! A team from Tsinghua University has broken Dijkstra's "sorting barrier" - the first improvement since 1984. Just use for a world-map 🤯 Paper - arxiv.org/pdf/2504.17033 x.com/0x0SojalSec/st…

I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently. So, here goes.

HUGE just came across this comprehensive GPU document it covers > CUDA cores, SMs, tensor cores, warp schedulers > kernels, threads, PTX, memory hierarchy > occupancy, latency hiding, roofline, divergence > nvcc, nvidia-smi, cuBLAS, Nsight, libcuda amazing resource to have

1. Sell women Beauty 2. Sell men Lust 3. Sell parents Peace 4. Sell kids Dreams 5. Sell the rich Safety 6. Sell the broke Hope 7. Sell the old Youth 8. Sell the young Status 9. Sell the lonely Belonging 10. Sell the sick Miracles 11. Sell the healthy Fear 12. Sell the smart Shortcuts 13. Sell the dumb Validation 14. Sell the faithful Certainty 15. Sell the faithless Rebellion 16. Sell everyone Time You can make so much money. Try either. You can’t go wrong. Choose where money is.

There is a stupid amount of MONEY in this. • Add /.json to the end of any Reddit URL • Instantly get the entire thread • Every reply (to n-th depth) • All metadata • Clean, structured JSON Then: • Feed it to an LLM • Extract pain points • Detect buying intent • Surface patterns no human will manually read Niche sub-reddits are unmined gold. People literally tell you what they want. You just need to listen at scale.

I just turned Alex Hormozi's $100M framework into AI prompts that actually work. 99% of people watch his videos, take notes, then do... nothing. I spent 3 weeks reverse-engineering every Hormozi principle into executable AI workflows. The result? A system that forces you to build irresistible offers and extract maximum value from every decision. Here are the 7 prompts that changed everything 👇

Wow. Anthropic just curated an impressive collection of use cases for Claude 🤯 You already get 39 deep guides and more get added weekly. It’s also free and definitely worth bookmarking. (link below)

Still can’t believe @karpathy released this 3.5-hour free deep dive on how ChatGPT actually works for free. If there’s one AI video to watch in 2025, this is the one

OpenAI, Anthropic, and Google AI engineers use 10 internal prompting techniques that guarantee near-perfect accuracy…and nobody outside the labs is supposed to know them. Here are 10 of them (Save this for later):

As AWS re:Invent wraps, Dr. @Werner shares his 2026 tech predictions. Here’s his outlook for the year ahead. 🧵 1/8

This is insane. Google dropped the most powerful UI designer in the world. You just describe the app, and it generates the code. It’s called Stitch. Here’s how it works: