How to deploy an app you built with AI.
You described what you wanted, an AI wrote the Python, and it works on your machine. Here's how to get it running in the cloud 24/7 — the whole journey, in plain English, with no servers, Docker, or DevOps.
No servers. No Docker. No YAML. — no DevOps required.
How do I deploy an app I built with AI?
Save the code as a file, then upload it to a service that runs it for you. You don't need to be a developer: on Snapdock you drop in the Python an AI wrote, it auto-detects how the code runs and its dependencies, deploys it to a cloud machine, and runs it 24/7 on a schedule — then explains every run in plain English and alerts you if one fails. No servers, Docker, or terminal.
First — what does “deploy” even mean?
Deploying is the trip from a file on your laptop to something running in the cloud on its own. Right now your automation only runs when you run it by hand; deploying moves it onto a computer that stays on, so it keeps working whether or not your laptop is. New to the words? The plain-English glossary covers hosting, runtime, cron, and the rest.
One scope note: Snapdock runs backend Python — scripts, automations, and scheduled jobs. If your “app” is a front-end website (Next.js, React), host that on Vercel or Netlify and let Snapdock run the automation behind it.
What you need — probably just two things.
The code the AI wrote
A .py file, a .zip, or the whole project folder. Bring it exactly as-is — no cleanup required.
Any API keys it uses
If it talks to Stripe, a database, or Google Sheets, keep those keys handy. You'll paste them somewhere safe — not into the code.
An account
No card to start. That's genuinely it — no server to buy, no tools to install.
Deploy it in five steps.
Save your code as a file.
Paste what the AI gave you into a file ending in .py, or keep the project folder together. Don't worry about understanding every line.
Create a Snapdock account.
No card. If you can attach a file to an email, you're past the hard part.
Upload it.
Drag the file, .zip, or folder in. Snapdock finds the entrypoint, reads the dependencies, and quietly fixes the Windows-to-Linux gotchas that break AI-written code in the cloud.
Add your keys to the vault.
If the pre-flight spots a hardcoded key, move it into the encrypted Secrets vault in a click. It's injected at runtime and never written to logs.
Pick a schedule — or run it now.
Every morning, hourly, weekdays at 9, or your own cron. From then on it runs in the cloud on time, and you get a plain-English summary of every run.
The usual snags — and where to fix them.
AI-written code trips on the same handful of things. Each has a plain-English guide:
Built it with a specific AI? Start here.
The questions non-developers ask first.
Do I need to know how to code to deploy this?+
No. You don't need to understand the code line by line. If you can attach a file to an email, you can upload it to Snapdock — it detects how the code runs, deploys it, and explains every run in plain English.
Do I need Docker, a server, or DevOps?+
No. There's no Dockerfile, YAML, server, or terminal. Snapdock auto-detects your dependencies and runs the code on a managed cloud machine.
What happens when it breaks?+
Snapdock turns the error into a plain-English sentence, points at what broke, and hands you a likely fix — then notifies you by email, Slack, or Teams with a one-click re-run.
What does it cost to start?+
It's no cost while Snapdock is in early access — no card to start.
Deploy the app you built with AI.
No card to start — deployed and running in minutes, no servers or Docker.