Describe the outcome you want. Looptop's AI crew plans it into slices, writes the code, runs the tests, fixes what's broken — on its own, until they pass — and merges the PR. All guided in plain language, right from your phone. No dashboards. No commands to memorize.
Each coworker owns a stage of the delivery loop. You talk to the team — Looptop routes every message to the right person.
Reads your codebase, then turns an outcome into vertical, demoable slices that extend what's already there — thinnest path to value first.
Explores the repo, implements each slice end to end, and self-reviews for completeness before opening a pull request wired back to the issue.
Reads the changed files in full and judges correctness, risk and design — findings, not vibes.
Reads the code, finds test gaps, and gives an evidence-based signoff pinned to the commit. New commits invalidate stale approvals.
Combines Critic + QA + CI into one ship / hold call, and drives the closed-loop auto-repair until tests pass.
Every step ends by telling you the next thing to say. You never guess, and you never touch a command.
State the change you want with a metric. Piper drafts a plan of ordered slices instantly.
Cody implements the slice and opens a PR. You get pinged the moment it's ready.
Vera and Quinn review; your tests run in CI. If anything's red, Cody reads the log and fixes it — automatically, until green.
Quinn does an evidence-based QA signoff, pinned to the exact commit.
Merge is gated on a valid signoff. Confirm, and it's live.
Looptop nudges you to the next slice. Repeat until the outcome is done.
Start with a thin working slice, then make it richer one message at a time. Every slice is a tested pull request — so the app gets bigger and stays reliable. No big-bang code dumps.
Endpoints, seed data, and a passing test — from one message on an empty repo.
Add a served front end. Same app, one message richer — now it's a product.
Policy rules, validation, and tests that prove each one. Toy becomes tool.
Access control and an audit trail — the things enterprises actually require.
Open a GitHub Codespace and your full-stack app runs on GitHub's infrastructure — no servers, no DevOps. Ship a slice, refresh, and click your app live.
No slash commands, no IDs. Talk in outcomes and slice numbers — the bot handles the rest.
When CI fails, Cody reads the actual test log, fixes the code, and re-runs — automatically, until it's green. You don't lift a finger.
Open a GitHub Codespace and your full-stack app runs in the browser — no servers, no DevOps. See every slice live.
Your tests actually run on every PR. Nothing merges over red — or without an evidence-based QA signoff pinned to the commit.
Beyond planned slices — just say "add a button to the lead form" and Cody ships it as a PR.
Use the built-in models or plug in your own key. Each agent can run on a different model, tuned for speed, cost, and quality.
Every slice becomes an issue, every build a PR, every test a check. Full traceability in the tools you already use.
Run your whole delivery loop from a chat thread on your phone. Ship from anywhere.
Every reply tells you exactly what to say next. Zero second-guessing, zero manuals.
QA signoff invalidates on new commits, merges hold on failing CI, and your keys are encrypted at rest.
Open the chat, describe what you want, and let the team take it to a merged PR.
Launch Looptop