Chuchube Workflow

Chuchube is an orchestration layer that sits above coding assistants rather than replacing them. You describe a feature in natural language; an AI Architect asks clarifying questions, then breaks the work into a dependency graph of concrete steps. Independent steps run in parallel, each in its own git worktree, executed by whichever agent CLI is available, Claude Code, Codex, Gemini CLI. You watch the graph run, review each result as an isolated diff, and promote it to a destination branch when it looks right; nothing touches your branch until you approve it. Chuchube runs locally on your machine and uses your own model keys, so your code stays on your disk and your model spend stays between you and your provider.

AI coding agents are fast at single tasks but sequential in practice: a developer describes one change, waits, reviews, then starts the next. Anything larger than a single file becomes a queue of one-agent-at-a-time work, with the developer acting as the scheduler, the reviewer and the merge conflict resolver. Existing tools improve the agent, not the coordination around it, nobody decides what can run at the same time, keeps each agent's work isolated, or merges the results back safely. On top of that, most tools resell model tokens, so cost scales with exactly the usage that makes them valuable.