Problem
The app runs locally, but the builder does not yet know which cloud resources, deployment workflow, secrets, domains, or rollback path production needs.
Use case
Vibe code to production
A builder has an AI-coded app that works locally and needs a concrete, reviewed path to cloud deployment without handing credentials to another hosted layer.
This page is short on purpose: problem, app query, required context, sample output, and safety boundary before the CTA.
Use Clanker Cloud when the prototype works, but production needs provider context, deploy planning, cost awareness, and explicit approval.
Concrete workflow
Problem, query, context, output, and safety boundary
App workflow/query
Clanker Cloud app:
1. Open Deploy or Maker mode.
2. Connect the GitHub repo and target provider profile.
3. Ask:
Take this AI-built app from local prototype to production. Inspect the repo, identify runtime needs, propose cloud resources, CI/CD, secrets, domain routing, estimated cost, and rollback plan before apply.Open-source CLI equivalent
clanker ask --github --aws --maker "Take this AI-built app from local prototype to production. Inspect the repo, identify runtime needs, propose cloud resources, CI/CD, secrets, domain routing, estimated cost, and rollback plan before apply."Input context
GitHub repo, app runtime, environment variables, target provider profile, domain or subdomain, database needs, expected traffic, and any budget or region constraints.
Output example
Plan: containerize web and API services, create a managed Postgres database, configure secrets locally, add GitHub Actions deploy workflow, route app.example.com through Cloudflare, estimate baseline monthly cost, and require review before creating resources. No apply has run.Safety boundary
Repo and provider inspection are read-first. Maker mode generates a deploy plan. Creating resources, modifying DNS, or changing secrets requires an explicit reviewed apply step.
Supported providers
Next step
Review the generated plan, remove anything over-scoped, commit deployment artifacts, then apply only after the production shape is clear.
Buyer query
A builder has an AI-coded app that works locally and needs a concrete, reviewed path to cloud deployment without handing credentials to another hosted layer.
Read-only first
Repo and provider inspection are read-first. Maker mode generates a deploy plan. Creating resources, modifying DNS, or changing secrets requires an explicit reviewed apply step.
Proof artifact
The workflow below includes the app query, local context required, example output, supported providers, and next step.
Next step
Review the generated plan, remove anything over-scoped, commit deployment artifacts, then apply only after the production shape is clear.
Related proof
Read the supporting pages
Vibe coding to production guide
Open the longer proof page with the same app-first workflow pattern.
Local credentials
Read what stays local, what can go to model providers, and how read-only/maker/apply differ.
Example library
Browse all proof workflows for cost, security, Kubernetes, MCP, and review-before-apply.
FAQ
Common questions
Does this use case require write access first?
Repo and provider inspection are read-first. Maker mode generates a deploy plan. Creating resources, modifying DNS, or changing secrets requires an explicit reviewed apply step.
Why is this separate from the example page?
The use-case page answers the high-intent buyer query directly. The example page is the deeper proof artifact with the same concrete workflow format.
Next step
Run the read-first workflow
Download the desktop app, connect the existing local context, and start with inspection before reviewed plans.