Automate your
engineering
pipeline._
Hand a brief to a pipeline of cloud agents. A manager plans it, a dev builds it, a critic reviews the diff — and the rendered UI — the tester gates it green, devops ships a live preview. You approve. It merges.
A real run, in your browser.
From a brief to a PR,
in six stages.
Each stage is a focused agent. Together they take a written brief all the way to a PR you can trust — and hand the last call to you.
Manager — plans the work.
Reads your brief and the company brain, then writes a concrete, code-grounded plan — which files, which approach — before a line is written.
Dev — builds it.
Implements the plan in an isolated copy of your repo, following your conventions, and writes a test that proves the change works.
Critic — reviews it, and sees the UI.
A fresh, adversarial reviewer checks the diff against the plan and looks at the rendered preview — catching bugs and broken screens before you do.
Tester — gates it green.
Runs your test suite plus checks derived from the plan. The PR only moves forward when everything passes.
DevOps — ships a live preview.
Spins up a preview URL for the branch so you (or your team) can click the actual change before deciding to merge.
Merge — you approve.
The finished PR is handed to you for sign-off. Nothing merges on autopilot — the last call is always a human’s.
It learns your codebase —
not code in general.
Most AI writes plausible code. Before any agent here plans or reviews a change, it reads from a living model of your repos — built once from your git history and kept current as your team ships. So it works like a senior engineer who already knows your system.
Your architecture & flows
The real call graph and how features actually work end-to-end — so a change fits the system, not a guess at it.
Your conventions
The house patterns and the way your team writes code, learned from your own history — not a generic style.
What's business-critical
Which areas can’t break — payments, auth, the core flows — so the reviewer is strictest exactly where it matters.
Where bugs hide
The fragile, churn-heavy files your past bugs clustered in — flagged before a change touches them.
Your invariants
The rules that must always hold in your code — surfaced to every agent so they’re never quietly broken.
The same brain grounds the plan the manager writes, the code the dev builds, and—crucially—the review: the critic flags a cross-cutting or business-critical risk because it knows your system, not because it guessed.
Nothing broken
reaches your branch.
Before a PR is yours, the change runs a review gauntlet — read, seen, fixed, and gated. You approve the merge; the agent makes sure it's worth approving.
Every change is reviewed — adversarially.
A fresh reviewer reads the diff against your brief: correctness, scope, regressions. Not a rubber stamp — it tries to break it.
It looks at the actual screen.
The reviewer opens the live preview and reads the rendered UI — catching broken, clipped or wrong layouts a code diff can never show.
Findings get fixed, not just flagged.
Concrete issues loop straight back into a focused fix and re-check. The agent resolves them itself before the PR is yours.
Nothing broken merges on autopilot.
If the review is still unresolved, the PR is held for your sign-off. No silent merges, no surprises on your branch.
Green means green. Tests, a real review, and a look at the live UI — all before it lands.
BRIEF → BUILD → REVIEW → MERGEAutonomous —
never unsupervised.
The agents do the work; you keep every gate. It scales your team’s output without handing over the keys.
You approve every merge
A human signs off before anything lands on your branch. The agents open the PR; the merge button is yours.
Your key, your budget
Runs on your own Anthropic subscription with a hard spend cap per task. No shared account, no surprise bill.
A blocked review holds the PR
If the critic isn’t satisfied, the PR is held for you — it never merges on autopilot. You decide to override or send it back.
A full audit trail
Every plan, review, test result, and decision is logged — so you can see exactly what each agent did, and why.
Write a brief tonight.
Wake up to a PR.
Connect a GitHub repo, drop your Anthropic key, and queue your first task. The runner picks it up within 30 seconds.