Gattaca
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Use case

Put ten agents on it at once.

One window, up to ten AI coding panes — each on its own task, on its own model, in your own repo. You stop waiting on one assistant to finish before starting the next thing.

Why it’s for you

  • Parallel, not queued

    One pane refactors while another writes tests and a third chases a bug. Each is a live Claude Code session on your own machine, working in your real project at the same time.

  • The right model per task

    Each pane keeps its own model. Put the hard reasoning on a bigger model and the mechanical reformat on a cheap fast one — you're not paying premium rates for a rename.

  • Plain shells when you want them

    Not every pane has to be an agent. Keep an ordinary terminal alongside them to run the tests and read the git status yourself.

  • Your voice, when typing is slower

    Hold Alt and talk. Speech is transcribed on your device — the model runs locally, so what you say goes no further than your machine.