How to Deploy Vibe Coded Apps (Cursor, Claude) for Free Using Dokploy

You built an entire web application using Cursor and Claude 3.7. You prompted your way through the logic. You fixed the bugs via chat.

Now you have a fully functional project sitting on your localhost.

But how do you actually put it on the internet?

Most developers hit a massive wall here in 2026. You write code by talking to an AI model. But deploying it still requires complex terminal commands or expensive hosting bills.

You can bypass this. You just need Dokploy and a $5 virtual private server to get your AI application live in under 10 minutes.

What is vibe coding?

Vibe coding is the process of building software using natural language. You describe what you want in plain English, and an AI agent writes the actual code.

Tools like Cursor and Windsurf made this standard practice. You can build complex software platforms without knowing how React or Python works under the hood.

The problem happens when you finish. AI excels at writing local scripts. But it struggles to navigate server administration and DNS records.

Why Dokploy beats traditional hosting for AI apps

Platforms like Vercel and Render are popular for a reason. But they get expensive once you leave the free tier.

AI applications often require heavy background processing. If your app connects to an external API or runs long data queries, serverless platforms hit you with timeout errors or massive bandwidth fees.

Dokploy is a free, open-source alternative. Think of it as your own personal Heroku. You rent a cheap server for $5 a month and install Dokploy.

You host as many apps as your physical server can handle for a flat rate.

The deployment tech stack

Before we start, you need a few things ready.

• An AI coding assistant to generate your project.
• A GitHub account to store your code.
• A VPS provider like Hostinger or Hetzner.
• Dokploy for the deployment engine.

We will wire these pieces together into an automated pipeline.

Step 1: Get your server and install the platform

To host an app, you need a computer that stays on constantly. That is a virtual private server (VPS).

Hostinger offers a solid starting point. They include a 1-click Dokploy installation template right inside their dashboard.

You buy the server, select the template, and the software configures itself. You skip the terminal entirely.

If you use a bare Linux server from Hetzner, installing Dokploy requires exactly 1 command. You open your terminal on Mac or Putty on Windows.

You log into your server via SSH and paste the installation script.

Step 2: Connect your GitHub account

Your AI wrote the code. You pushed it to a private GitHub repository. Now the deployment server needs permission to access it.

Open your Dokploy admin panel and navigate to the settings tab. Select GitHub.

Click the button to create a new GitHub App. This grants read access to your repositories.

This connection matters. If you rely on autonomous AI agents to write and push code, this webhook pushes every update live instantly.

Step 3: Deploy your AI project

Go to the Applications tab. Click Create Application.

Select your repository from the dropdown menu and choose your main branch.

Dokploy detects your framework. Whether your AI built a Next.js frontend or a Python backend to interface with Gemma 4 locally, the system knows how to build it.

Click Deploy. You will see the build logs scrolling down your screen.

The server installs your dependencies and builds the application. When it finishes, your project goes live on a temporary URL.

Step 4: Manage environment variables

AI apps rely heavily on API keys. You probably have an OpenAI or Anthropic key powering your core features.

Never commit these keys to GitHub. Security bots will scrape them and drain your account balance.

Use environment variables instead. In Dokploy, go to your application settings and click on Environment.

Paste your .env file contents directly into the text box. Save the settings and click Deploy again.

The server injects your keys at runtime.

Step 5: Add a custom domain and secure it

Temporary URLs look terrible. You want your application on a real domain name.

Open your domain registrar and find your DNS settings. Create an A-record pointing to your server’s IP address.

Back in Dokploy, go to the Domains section. Click Add Domain and type in your custom domain.

Check the box that says Enable HTTPS. Select the Let’s Encrypt option and click Save.

The server provisions a free SSL certificate. Your app now has a secure connection.

Step 6: Spin up a database

Most real-world applications need a database to store user information or chat logs. Dokploy handles databases natively.

Go to the Databases tab and click Create Database. You can choose PostgreSQL, MySQL, MongoDB, or Redis.

Give it a name and generate a password. Dokploy spins up an isolated database container right on your server.

It provides an internal connection string. Copy that string and paste it into your application’s environment variables.

Your AI-generated code can now read and write data.

Comparing deployment options for 2026

You have choices when pushing code live. Here’s how Dokploy stacks up against the big names.

Feature	Dokploy (VPS)	Vercel	Render
Cost	Flat rate ($5/mo)	Scales with usage	Scales with usage
Background Tasks	Unlimited	Timeout limits	Expensive compute
Database Hosting	Included free	Third-party required	Paid add-on
Setup Difficulty	Medium	Low	Low

Pros and cons of self-hosting AI apps

Running your own server gives you total control. But it does come with trade-offs.

Automating the entire pipeline

This setup cuts the manual labor out of your workflow. You can open Cursor, ask it to build a feature, and let it push the commit to GitHub.

Dokploy sees that commit. It pulls the fresh code, rebuilds the application, and swaps the containers.

You never have to manually drag files via FTP again.

You can even bolt this onto tools like Google Jarvis AI to test your live site.

If something breaks, an agent flags the issue, prompts Cursor to write a fix, and pushes the patch.

Troubleshooting common errors

Sometimes builds fail. This usually happens for 2 specific reasons.

First, your AI assistant forgot to include a dependency in your package.json or requirements.txt file.

Check the deployment logs. If you see a “module not found” error, tell your AI to fix the dependencies and push again.

Second, you ran out of server memory. If you build a massive Next.js app on a server with only 1GB of RAM, the build process crashes.

You fix this by upgrading your VPS or adding a swap file to your Linux machine.

Start shipping your projects

Vibe coding lets you build software fast. Dokploy lets you host it cheap.

Rent a cheap server and run the installation script. Connect your GitHub account.

You’ll never worry about complex deployment pipelines again.

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