Anthropic just announced a SpaceX partnership for more compute, and they're using it to double Claude Code's five-hour rate limits, kill the peak hours throttle, and raise API rate limits across the board. In this video I break down exactly what changed, why it matters, and the five things you should consider doing differently if you build with Claude.

I've been on Mac for 15 years, but after watching so many automation pros struggle with Windows, I put together a guide on what actually changes when you switch (especially for Claude Code, n8n, and MCP servers): The TL;DR: If you're running Claude Code with MCP servers, building n8n workflows, or doing serious automation work, Mac's Unix foundation saves you hours every week. No more WSL translation layers, no more path separator nightmares, no more "why does this work on the server but not my dev machine" debugging sessions. What actually got better: - 🖥️ MCP servers just work - filesystem server, database connectors, API tools - they all assume Unix paths and execute natively on Mac - 💻 Claude Code runs seamlessly - bash scripts, file operations, terminal workflows - zero translation needed - 🐳 Docker stopped being painful - no more WSL2 overhead, memory limit tweaking, or random performance crashes - 📦 Homebrew = game changer - brew install n8n, brew install docker, done. No installer archaeology - 🧠 16GB feels like 32GB - unified memory architecture handles Claude Code + n8n + browsers better than traditional RAM - ⚡ Dev = production - your Mac terminal IS Unix, just like your Linux servers - Real talk on downsides: - ❌ Gaming performance tanks - ❌ Zero hardware upgrade path - ❌ Keyboard shortcuts break your muscle memory for 1-2 weeks - ❌ Higher upfront cost - I wrote a complete guide for the transition (mental models, technical differences, what to actually expect) - PDF attached. Worth considering if you're tired of debugging WSL and path translation issues instead of actually building automations. What's been your experience with automation tools across platforms?

Orchestrate multiple AI coding agents in parallel. Switch between Claude Code, Codex Gemini CLI, and track task status from a single dashboard. Free and 100% open-source. ❤️ 17.6K ⭐️

Welcome to the Out of The Box Series — where I test how far curiosity and AI can take you in 30, 60, or 90 minutes, using today’s best no-code and low-code tools. No setup. No training. Just pure exploration — right out of the box. 🎬 This Episode: HeyGen 🕒 Time Limit: 30 Minutes 📂 Category: AI Video Creation 💡 What I Built in 30 Minutes: Using just one photo of me standing in front of a fireplace, a short script and HeyGen’s Create Video feature, I generated a full talking video in under 30 minutes. Click to View HeyGen Video Using My Photo: https://app.heygen.com/guest/videos/4c96c4ece65c40a787276b9e08ed5161 What is HeyGen? HeyGen is an AI video generation platform that turns a photo or default avatar, and a text script into lifelike talking videos. You can create avatars, clone voices, and translate your message — all in minutes, no camera or video equipment required. Settings Used: I left everything on default settings, selected the “Calm and Warm” tone setting, and let HeyGen do the rest. Prompt Used: “Created a short, professional 40-second video introducing myself and the Out of The Box Series in a calm, confident tone.” 🚀 Result: A clean, natural-looking AI video — smooth delivery, great lighting, and surprisingly realistic motion. No filming. No editing. This is what out of the box really looks like. Just one photo, one prompt, and 30 minutes. To see more AI content like this, join AIS+ Today Have a blessed and creative AI day! @Michael Wacht AIS+ Ambassador

OCR model that handles complex tables, forms, handwriting with full layout. Chandra is a highly accurate OCR model that converts images and PDFs into structured HTML/Markdown/JSON while preserving layout information. - There is a free playground if you want to try it out without installing. GitHub 100% open-source ❤️