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
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
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? Splitting into multiple independent parallel requests is almost always faster. This isn't a gut feeling — it's determined by the underlying inference mechanism of LLMs. Let's walk through the reasoning from first principles. To understand this problem, you firs