Deploy What Your AI Just Built
Your AI coding assistant wrote the app. Here is how to deploy the backend on Open Source Cloud in one line, with no DevOps and no runtime lock-in.
Your coding assistant just wrote a working app. The frontend runs locally, the logic is there, and then you hit the part it cannot do for you: getting a real backend online. On Open Source Cloud you deploy that backend in one line from the same agent you were already talking to, you pick the services you need from a catalog of open-source projects, and you keep the freedom to move the whole thing somewhere else later. No DevOps, no Kubernetes, no runtime you cannot leave. Here is how that actually works.
The gap between "it works on my machine" and "it is live"
AI coding tools are very good at generating an application. They write the routes, the components, the database queries. What they have not had is a place to put the result. The code assumes a Postgres database, an object store, a cache, maybe a search index, and someone still has to stand all of that up, wire in the connection strings, and keep it running. That last mile is where most vibe-coded projects stall. Open Source Cloud closes that last mile. It runs a catalog of 180+ production services across 8 categories, all unmodified open source. The database your app expects, the object store, the cache, the search index, the auth service, they are all there, provisioned on demand. You are not buying a proprietary platform and you are not building infrastructure from scratch. You are picking the pieces your generated app already assumes.
Deploy from the same conversation
The part that makes this feel like one workflow instead of two is the OSC MCP server. Add it to your AI coding tool once, with "claude mcp add --transport http osc https://mcp.osaas.io/mcp". The first time the tool calls it, OSC handles authentication in the browser and hands back a token automatically. There is no config file to hand-edit and no token to paste. From then on your agent can provision a database, spin up an object store, and read back the live connection details inside the same chat where it wrote your code. The deploy step stops being a separate project and becomes another message.
Bring your own app, from any git repo
When you are ready to put your own application online, not just its backing services, OSC deploys it straight from a git repository. Point it at any HTTPS git URL, GitHub, GitLab, Bitbucket, or self-hosted, or use the built-in open-source Gitea hosting if you do not want a GitHub account at all. The app needs one commit, a health endpoint, and to listen on the port OSC gives it. Node.js, Python, Go, .NET, and WASM are all supported runtimes. Push, and it is live on a real URL.
The part that matters on day four hundred
Speed on day one is the easy promise. The harder one is that you can change your mind later. Because every service in the catalog is unmodified open source, each piece is replaceable on its own. If a managed service stops fitting, you move that one piece, usually by changing a connection string, and the rest of your stack does not notice. The same services run on a hyperscaler account, on your own Kubernetes cluster, or on hardware in your building. Open Source Cloud is the convenient place to run what your AI built, not a place that holds it hostage. That is the whole point. Your assistant builds the app, OSC gives the backend a home, and you own every piece of what you deployed.
Frequently Asked Questions
How do I deploy an app my AI coding assistant built?
Provision its backend services on Open Source Cloud and deploy the app itself from a git repository. Add the OSC MCP server to your AI tool with one command, let it spin up the database, storage, and other services your generated code expects, then push your app from any git repo or OSC's built-in Gitea hosting. It runs on a real URL with no DevOps setup.
Do I need DevOps or Kubernetes knowledge to deploy a vibe-coded app?
No. The managed services are provisioned for you and your app deploys from a git push. You supply a health endpoint and listen on the assigned port; OSC handles the runtime, networking, and TLS. Supported runtimes are Node.js, Python, Go, .NET, and WASM.
Can I move my app off the platform later without a rewrite?
Yes. Every service is unmodified open source, so the same stack runs on a hyperscaler, your own Kubernetes cluster, or on-premise. Moving a single service is typically a connection-string change, not an application rewrite, because nothing depends on a proprietary SDK or export format.
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