The Missing Half of the Vibe Coding Story
There is a story everyone in the AI developer community is telling right now. It goes like this: you describe what you want to build, an AI writes the code, and in an afternoon you have a working app. The vibe coding story.
It is a good story. It is also only half the story.
The half nobody is telling: what happens when you try to move that working app from your laptop to the real world.
The Part That Always Gets Edited Out
Every “I built this in an afternoon” post I have read follows the same structure. There is an exciting idea. There is an AI tool (Claude Code, Cursor, Bolt.new). There is a montage of the coding process. And then there is a live URL at the end, presented as proof that the whole thing was effortless.
What gets left out is the middle section. The part where the developer figured out deployment.
Because here is what actually happens between “working locally” and “live on the internet”: someone had to choose a cloud provider. Configure a VPC. Provision a real database. Handle environment variables securely. Write a Dockerfile or equivalent. Set up a CI/CD pipeline. Configure SSL. Point a domain. Debug the production-specific errors that never appeared in development.
That gap exists in almost every vibe-coded project. And it is where a huge number of promising ideas quietly die.
A Comment That Stuck With Me
After posting about this recently, a developer left a comment that summed it up better than I had:
“the ‘after’ part is exactly where things get messy rn.”
Messy is exactly the right word. Not broken. Not impossible. Just messy in a way that the vibe coding workflow completely fails to prepare you for. You go from a prompt-driven, collaborative, surprisingly smooth experience to a completely different mode: documentation hunting, configuration files, cloud console UIs, and a stack of decisions that has nothing to do with what you were actually building.
The tooling for the “before” got dramatically better. The tooling for the “after” stayed roughly the same.
What Vibe Deployment Actually Means
The answer, when I started thinking about it seriously, turns out to be structural rather than just a UX problem.
Vibe coding works because AI agents are in the loop, actively participating in the process. The AI understands what you are building, suggests the next step, writes the code, fixes the errors. It is a conversation.
Deployment breaks the conversation. The AI agent has no way to talk to your cloud provider. So you have to leave the conversation, switch contexts, and become a DevOps engineer for however long the deployment takes.
The fix is to give the AI agent a voice in the deployment process as well. Not by writing more code, but by giving it a protocol to actually provision infrastructure.
That protocol is MCP, the Model Context Protocol. And the first time I saw an AI agent provision a production database by being asked nicely in plain English, something clicked.
The conversation does not have to end at git commit.
The Streaming Tech TV+ Moment
The clearest example I have seen of what is actually possible happened with a project called Streaming Tech TV+. A streaming platform: video ingest, transcoding, packaging, viewer application, databases, storage, CDN.
Six AI agents. One human. Thirty-six hours. Fourteen production services deployed and running.
That is not a prototype. That is a production platform. And the deployment was handled the same way the coding was: conversationally, by AI agents that had access to the right infrastructure tools.
That is the whole picture. Not just vibe coding. Vibe coding plus vibe deployment.
The Zero Lock-In Part
There is one more thing worth saying about this, because it affects how confidently you can build this way.
A lot of platforms make deployment easy by hiding what is happening underneath. You get a convenient abstraction layer. And then one day you want to move, and you find out the abstraction was a cage.
The model I have come to believe in is different: every service you deploy should be an unmodified open-source project. PostgreSQL is just PostgreSQL. Redis is just Redis. When you want to move to another provider, or to your own hardware, you take your data and go. No proprietary wrappers to unpick.
That is the part that makes vibe deployment trustworthy rather than just convenient. You can build fast and still own what you build.
The Story Is Not Done Yet
Vibe coding is maybe two or three years old as a mainstream practice. Vibe deployment is even newer. The tooling is early. The workflows are still being figured out.
But the trajectory is clear. If AI can write production code, AI can deploy production infrastructure. The missing half of the story is getting written right now.
The conversation does not have to stop at localhost.
If you want to try vibe deployment yourself, the MCP integration is at https://www.osaas.io/mcp?utm_source=medium&utm_medium=social&utm_campaign=vibe-deploy. Free tier included.
The blog post that sparked this piece: https://www.osaas.io/blog/vibe-deploy-zero-lock-in?utm_source=medium&utm_medium=social&utm_campaign=vibe-deploy
