Deploy
Turn a repo into a guided deploy plan
Point Clanker Cloud at a GitHub repo, infer the infrastructure, and review the deploy plan before anything changes.
For builders, founders, and full-stack engineers
Ship your AI-built app to production
Turn a GitHub repo into a reviewed deployment plan, keep credentials local, and move from generated code to real infrastructure without console roulette.
What you need to ship an AI-built app to production
Plan
Review what gets created before anything changes
See the execution plan, understand the blast radius, and approve the deploy only when it looks right.
Inspect
Ask production questions in plain English
Check what is running, what is exposed, or why a deploy broke without jumping through cloud consoles.
Visualize
See topology instead of guessing dependencies
Generate live views of services, resources, and dependencies so the deploy is understandable after it leaves the repo.
Control
Keep credentials and AI keys local
Run the workflow locally with your existing credentials and your own model keys instead of a hosted SaaS layer.
Optimize
Track cost before it becomes cloud shock
Track provider and model spend as your app moves from prototype to production.
Install, connect, ship
This is built for the messy middle between a working repo and a dependable production setup: the part where builders need infrastructure, secrets, networking, and runtime visibility without becoming full-time operators.
Step 1
Install and connect what you already use
Run Clanker Cloud on macOS, Windows, or Linux, connect your accounts and keys, and skip hosted onboarding.
Step 2
Scan the repo and build the deploy plan
Analyze the GitHub repo, infer infra requirements, and review the plan before resources change.
Step 3
Ship and keep operational context nearby
Approve the deploy, watch it execute, and keep topology, logs, and cost context nearby after launch.
How builders use Clanker Cloud after the code exists
Go from GitHub repo to deploy plan
Point Clanker Cloud at an app repository and get a grounded view of services, secrets, background jobs, storage, networking, and cloud resources before the first production push.
Keep plain-English production context after launch
After release, ask what changed, what is exposed, why a deploy failed, or where costs are climbing without piecing the answer together from several dashboards.
Ship with explicit approval instead of blind automation
Review the blast radius, keep local credential custody, and avoid pasting secrets or privileged tokens into a hosted AI deploy layer just to get to production.
Deploy to the cloud you already use
Use Clanker Cloud with your existing providers and keep the workflow local-first from repo scan to production rollout.
AWSGoogle CloudAzureKubernetesCloudflareHetznerDigitalOceanVercelGitHubBYOK
Why this fits vibe coding to production
Builders usually do not fail because they cannot write application code. They fail in the handoff from repo to infrastructure, where deploy paths, secrets, network edges, cost, and runtime behavior become the actual work.
More grounded than copy-pasting prompts into cloud consoles
Builders get a deploy plan tied to the actual repo and environment shape instead of guessing which load balancer, bucket, queue, or IAM policy needs to exist.
More flexible than one-path PaaS deployment flows
Use AWS, GCP, Azure, Hetzner, Kubernetes, and other providers when the app outgrows a single opinionated platform path.
Safer than hosted AI copilots with credential custody
Clanker Cloud keeps credentials and model keys local, which is a better fit for founders who want AI help without another hosted trust boundary.
Better post-deploy visibility for vibe-coded apps
Topology, logs, and cost context stay close to the deploy workflow so teams can keep operating the app after the first launch instead of starting over with ops tooling.
What you get once your repo is ready to ship
If your app works locally, Clanker Cloud helps you turn that repo into a production deployment with guided execution, operational visibility, and less guesswork.
Turn a finished repo into a production plan you can review.
Handle secrets, networking, background jobs, storage, and runtime needs without rebuilding the stack by hand.
Cross the cloud boundary with guided execution instead of stalling at the first deploy.
Keep debugging, topology, and cost context attached after launch.
For builders · founders · full-stack engineers
Built fast. Now ship with real infrastructure control.
Install locally, connect the credentials you already use, and move from generated code to a reviewed, observable production deployment.
One-minute setup for builders
Install the app, connect existing cloud accounts, and go straight from repo analysis to deploy planning.
macOSWindowsLinuxYour phone soonYour agent soon
Deploy from a GitHub repoReview plans before changes are appliedInspect infra and logs in plain EnglishKeep credentials local
Builder FAQ
How does Clanker Cloud help with vibe coding to production?
It turns a finished repository into a reviewable infrastructure plan, shows what needs to be created, and keeps deploy and production context in one local-first workflow.
Can I deploy a GitHub repo to AWS, GCP, or Azure without moving credentials?
Yes. The builder workflow is based on your existing cloud credentials and runs locally instead of requiring a hosted service to store privileged access.
What happens after the first deploy?
You can inspect logs, topology, exposed services, runtime state, and cost context from the same interface that handled the deployment plan.
Is this only for prototypes generated by AI tools?
No. It also fits hand-written applications and hybrid stacks, but it is especially useful when a builder needs to turn fast-moving generated code into something production-safe.
Deep Research
Know what you shipped before it breaks
After you deploy, Deep Research scans your live infrastructure for misconfigurations, cost waste, missing backups, and single points of failure — so you catch problems before users do. One scan, prioritised findings, zero console-hopping.
Explore more
Pick your next path
Choose the page that matches what you want to deploy or operate next.