# Tutorial: Hello World!

# Prerequisites

Hitchy is implemented in Javascript and requires Node.js (opens new window) as a runtime. In addition it relies on a tool called npm (opens new window) which is used to access a vast amount of packages ready for use. Hitchy is just one of those. This tool is included with Node.js.

# Create Project

  • Create and enter new folder for your project: mkdir hello-world && cd hello-world
  • Initialize the project: npm init
  • Install Hitchy: npm i @hitchy/core

# Configure Router

Create a sub-folder named config. Put a file named routes.js with the following content there:

exports.routes = {
	"/": ( req, res ) => res.send( "Hello World!" ),


The file's name doesn't matter much. The key routes used for exporting in first line of file's content is essential though. We suggest name the file just like the exported configuration key to support long-term maintenance of code.

# Run Project

When in project folder enter

hitchy start

for running the project. This will display some URL to be opened in a web browser, like (opens new window). Click on the URL or copy-n-paste it into your browser to get the desired output.

Stopping Hitchy

After starting hitchy the service is running in foreground. Log messages are printed on screen. If you want to stop hitchy just press Ctrl+C. This will gracefully shut down Hitchy.

# Dockerize Your Project

For production setup, we strongly suggest to put your project in a Docker (opens new window) container.

  1. Create a file named Dockerfile in root folder of your project containing:

    FROM node:lts-alpine
    COPY . /app
    RUN npm ci
    CMD ["npm", "run", "start:docker"]
    EXPOSE 3000
  2. Create another file named .dockerignore in same folder with content:

  3. Open your project's package.json file. Look for the scripts section and add script start:docker as demonstrated:

      "scripts": {
        "start:docker": "hitchy start --ip="
  4. Build the image to use on creating containers:

    docker build -t name-of-your-project .
  5. Optional: Publish your project by pushing the created image to a public container registry:

    docker push name-of-your-project

After that you may run your service at any machine with docker engine installed. Create and run a container with:

docker run -d --restart always -p 3000:3000 name-of-your-project