Is n8n dead? This was a HIGHLY requested topic, and the biggest question I've been getting lately, especially as Claude Code has started surpassing n8n in search interest and YouTube views. In this video I share my honest thoughts on what's happening with n8n, whether you should still learn it as a beginner, and how I'm personally thinking about these two tools.

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Despite all export controls, the Chinese manage to stay at the forefront — and even release their work as open source. Moonshot AI Releases Kimi K2.5: An Open Source Visual Agentic Intelligence Model with Native Swarm Execution - MarkTechPost

Clawdbot is the open-source AI agent that has everyone buying up Mac Minis. Clawdbot isn't just another chatbot; it’s a self-hosted AI gateway. While ChatGPT or Claude live in a browser tab, Clawdbot lives on your hardware and inside your messaging apps (Telegram, WhatsApp, Slack, iMessage). It acts as a "Cognitive OS" that can actually do work on your computer rather than just talking about it. Here is How It Works👇 The Gateway: You run a small server on your device or a VPS. -The Interface: You talk to it through any messaging app you want (whatsapp,slack etc). -The Agency: It connects to LLMs (like Claude or GPT-5) but has "skills" it can read your files, run terminal commands, browse the web, and even send you proactive messages (e.g., "Hey, you have a meeting in 10 minutes, here’s the prep"). -How to Install It⚙️ 1-Environment Preparation: You first ensure your "host" machine (a Mac, Linux VPS, or Raspberry Pi) has a modern runtime environment (like Node.js) capable of running background services. 2-Gateway Deployment: You download the Moltbot core software and initialize it as a "daemon"—a process that stays awake even when you close your laptop, allowing the bot to work while you sleep. 3-Intelligence Linkage: You provide the bot with "brain power" by inputting your API keys from providers like Anthropic or OpenAI. This is where you choose how "smart" (and expensive) your bot will be. 4-Channel Handshake: You create a "bridge" between the software and your messaging app of choice. For example, you’d create a private bot via Telegram’s BotFather and give Moltbot the token so it knows where to send your messages. 5-Device Pairing: For security, the final step involves a "handshake" where you manually approve your specific phone number or user ID, ensuring no one else can text your bot to control your computer. The Pros:- -Zero Context-Switching: No more jumping between tabs. Just text your AI from WhatsApp while you're at the gym. Persistent Memory: It remembers things across weeks, not just sessions.

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?