Use cases

AI coding agents for open source maintainers.

Pull issues from your repository onto the canvas and drop each on an agent. A second agent reviews the fix, and the pull requests waiting on you sit in one board.

v1.0.6 · Apple silicon · free for 3 days · no account

The Starkomand canvas with several agent windows, a hand-drawn diagram beside one of them and a browser preview beside another.

01 · Triage

Drop an issue on an agent.

Pull it from GitHub and drop it on a window. A note dropped on a busy agent waits its turn.

02 · Review

Reviewed before you look.

A fresh agent reviews the fix with a brief, and findings go back for a set number of rounds before it reaches you.

03 · Contributors

Draw the architecture once.

Ask an agent to draw how the project fits together. The diagram lands beside its terminal, editable, for the next contributor who asks.

Also on the canvas.

  • PR flight board

    Pull requests by stage, and what needs you.

  • Workspaces

    One per repository, with its own folder and agents.

  • Voice

    Hold ⌥ and tell an agent what to pick up next.

Questions.

Which agents can take an issue?

Any agent on the canvas: Claude Code, Codex, Cursor, Gemini CLI and the rest. Drop the note on its window and the task starts.

How does Starkomand reach GitHub?

Through your GitHub CLI sign-in (gh). There is no Starkomand account and no GitHub app to install.

Can I keep several repositories apart?

Yes. Give each repository a workspace with its own launch folder, agents and layout, and switch between them with a click or by voice.

Bring the agents you already pay for.

Every agent, every feature, free for 3 days. Your CLIs are already installed; the canvas takes a minute.

v1.0.6 · Apple silicon · no account