Inside the autonomous build loop

Most "AI builds your app" demos fall apart the moment the app is non-trivial, because one agent trying to do everything in one shot has no way to plan, recover, or integrate. Command Fleet's autonomous build loop is designed around those three gaps. Here's how it works — and, just as important, where you stay in control.

It starts with a sentence

You tell the workspace manager what you want: "build me a waitlist app on Firebase with email capture and an admin list." That's the whole input. From there the loop takes over.

Step 1 — Scaffold from a stack pack

The manager creates the project and scaffolds it from a stack pack — Firebase, Cloudflare, Vercel, Netlify, Supabase, or Fly. This is deterministic setup, not a guess: you get a real project structure, dependencies, and a preview/deploy manifest to build on.

Step 2 — Plan a task graph

Instead of one giant prompt, the build is decomposed into discrete tasks with dependencies between them. "Set up auth" must finish before "gate the admin list," but "style the landing page" can run alongside both. This dependency graph is what makes the rest of the loop safe to parallelize.

Step 3 — Execute in parallel worktrees

A scheduler launches the tasks that are ready — their dependencies satisfied — up to a safe concurrency cap. Each runs in its own git worktree with its own agent, so parallel work never collides. When a task's prerequisites aren't met yet, it waits its turn.

Step 4 — Review and self-correct

When a task finishes, the loop checks it. If your verify gate (build and tests) fails, the task is retried automatically a set number of times. If it still can't pass, the loop stops guessing and leaves it In review for you — with the full history attached. No infinite spinning, no silent failures.

Step 5 — Auto-merge and integrate

A completed, passing branch is merged into the base before dependent tasks start, so each new task builds on integrated work rather than a stale snapshot. If a merge conflicts, that task routes to review instead of being force-pushed.

Step 6 — Ship

With the build assembled, the deploy pipeline can run top-to-bottom — gated until every required credential is in place. Preview and deploy share the same manifest, so what you previewed is what goes live.

Where you stay in control

Autonomy isn't the same as abdication. You set the verify gate and the retry cap. Anything the loop can't resolve lands in your review queue. Secrets never enter a prompt, and deploys wait for explicit credentials. The loop does the typing and the plumbing; the judgment calls stay yours.

One sentence in, a reviewed and deployable app out — with a human at the gate for every decision that matters.