Moving applications from local development to real production environments. Covers build steps, hosting, infrastructure, environment configuration, security, monitoring, and the practical work required to make software accessible, reliable, and owned.
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I'm using Claude Code while creating my "How to deploy an AI agent" course.
Don't get me started. I know it's very meta to use AI while building a course about deploying AI apps, but here we are.
And after switching to Opus 4.8 today, I noticed a small thing that felt different.
Not "the model solved world peace" different.
More like "Did it just understand what I'm actually working on? 🧐"
My #1 rule:
Deploy the boring loop first. Add intelligence later.
Because if the simple loop doesn't work in production, the fancy version won't save you.
Your vibe-coded AI app does not need a complicated backend on day one.
🙅♀️ No RAG
🙅♀️ No tools
🙅♀️ No streaming
🙅♀️ No multi-agent orchestration
It needs one boring backend loop:
Getting to a live URL is the easy part now.
The harder question is whether you actually own what you built.
Can you move it?
Can you debug it?
Can you explain the stack to a client?
Can you protect your API keys?
If the answer is "No 🙂↔️" or "I'm not sure 🥹" → your AI app is still a hosted prototype.
Here are the 7 things you need to deploy your vibe-coded app and own the whole stack on AWS: