BIG $BOSSIE PARTNERSHIP HAS BEEN ANNOUNCED 🔥 With travel platform Jetvoy.com, this is HUGE! Flights, hotels, globally, all powered by $BOSSIE. Still under $1M market cap, but that window’s closing fast. Moon mission incoming, don't miss out anon!

Give her an oscar for this

I never thought it would be that smooth.

Been there, done that!

15 years ago, at every software conference, NoSQL was offered as a solution to SQL "scaling problems". While SQL has its own limitations, scaling was actually the reason why FaceBook, UBER, Pinterest, Shopify, and Airbnb use MySQL instead of NoSQL databases.

bro found a secret office behind the mirrors in a New York subway 😭

Can you take the stick out of the bottle?

How do you build effective AI Agents? This is a problem I think deeply about with other AI devs and students. Simplicity works well here. I think we can all learn a lot from how Claude Code works. The Claude Agent SDK Loop generalizes the approach to build all kinds of AI

🎉 Pc Giveaway 🎉 💜😈 Custom Solo Leveling Hyte Y70 Themed PC 💻✨ How to Enter: 1. 🔁 Retweet & ❤️ Like this post 2. 👣 Follow Me HYTE 🔜 CES 2026 and Palit_Global 3. 💬 Drop a comment 🌍 Worldwide giveaway 🎯 Bonus Entries: 💬 Comment on my other socials more comments = more

Anwar Ibrahim named in Epstein files.

x.com/i/status/20183…

Most developers are using Claude Code wrong. They install it… run a few prompts… and treat it like a terminal chatbot. That’s why the results feel average. Claude Code is actually a 4-layer system 👇 1️⃣ CLAUDE.md Your project’s persistent memory. It defines: • what the

Holy shit 🤯 You can drop a CLAUDE.md file into your repo and Claude Code suddenly becomes 10x better. This is based on Anthropic's internal workflow shared by Boris Cherny (creator of Claude Code). Someone turned it into a plug-and-play CLAUDE.md. Just copy it into your

MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD): 1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/ 2. Understanding Deep Learning udlbook.github.io/udlbook/ 3. Algorithms for ML algorithmsbook.com 4. Reinforcement Learning andrew.cmu.edu/course/10-703/ 5. Introduction

AI agent–enabled coding is quietly becoming the new SDLC. Software development just had its biggest shift since the GUI. Planning. Coding. Testing. Deployment. Agents are starting to handle all of it. Here’s the shift most engineers haven’t noticed yet 👇 Old model: SDLC •

Instead of watching a 2-hour movie, watch this Claude FULL COURSE (Build & Automate Anything):

Stop wasting hours trying to learn AI. One list. Zero confusion. No fluff. This AI learning roadmap shows you everything 👇 📹 Videos LLMs, Agentic AI, Stanford lectures 🗂️ GitHub Repos GenAI agents, prompt engineering, LLM engineering 🗺️ Guides Google, Anthropic, OpenAI