Stay in flow.
Ship in parallel.
Describe a feature once. Chuchube Workflow plans it into a graph of work and hands each track to its own AI coding agent — building real code in isolated git worktrees, grounded in your actual repo. You get merged commits, not a chat log.
One prompt. Three moves.
Plan it, run it in parallel, merge it back — without leaving your editor's rhythm.
You describe it. The architect plans it.
Google Gemini reads your actual repository, proposes a few approaches, asks clarifying questions, then lays out a visual graph of parallel and dependent tracks.
Agents build in parallel — for real.
Each track runs an AI coding agent in its own isolated git worktree, in parallel. They write real code against your repo and commit — not suggestions, actual commits.
Successful tracks merge themselves.
Chuchube Workflow merges passing tracks back into your base branch in dependency order, with conflict handling. You end with working code, not a chat transcript.
Not another chat box. An orchestrator.
A DAG, not a chat thread
Work fans out into parallel tracks with real dependencies — not one linear conversation you have to babysit.
Reasons from your real code
Retrieval over your repo — AST symbols plus semantic search — so plans and agents cite your actual files, not guesses.
Worktrees + auto merge-back
Each agent commits in its own isolated worktree. Chuchube Workflow merges successful tracks in dependency order — ships code, not snippets.
A plan you can edit first
See the whole graph before anything runs. Approve it, re-scope tracks, or tweak dependencies — then execute with confidence.
Bring your own coding agent
Chuchube Workflow orchestrates — you bring the runtime. Works with Claude Code, Codex, Kiro, and Gemini CLI, or bring your own.
It reads your repo before it writes a line.
Chuchube Workflow builds a knowledge base of your repository — AST indexing with tree-sitter plus semantic search via MongoDB Atlas Vector Search. Both the planner and the agents reason from your real symbols and files.
