The Problem with AI Terminals Today Every AI terminal tool works the same way: you describe what you want, the AI suggests a command, you copy it, alt-tab, paste it, run it, check the output, alt-tab back, describe the next thing... rinse and repeat. There is a cognitive cost to every context switch. When you are debugging a production issue at 2 AM, those seconds add up. WinkTerm takes a differ
I needed to coordinate background scripts running across different machines. The obvious answer was Redis. Everyone uses Redis for this. The tutorials all use Redis. The Stack Overflow answers all say "just use Redis." So I looked at what deploying Redis would actually cost me: A running Redis server I had to maintain A broker to connect workers to it Celery or RQ on top of that Memory-based stora
Introduction "The best developers have always built their own tools." — The cmux Zen This is the 54th article in the "One Open Source Project a Day" series. Today, we are exploring cmux. If projects like pi-mono or Warp are redefining terminal interaction logic, cmux is building a new "physical space" for the AI Agent era. It is not just another terminal emulator; it is a highly programmable te