Are you looking for an efficient way to kickstart your RESTful JSON backend? Look no further than go-starter, a production-ready backend template built on the powerful Go programming language. This guide will walk you through the essentials of setting up and using go-starter, ensuring you have a smooth experience from the ground up.

Features of go-starter

• Full local Go service development environment using Docker Compose and VSCode DevContainers.
• Database migration and model generation workflows for PostgreSQL.
• Integration with IntegreSQL for faster and safer integration testing.
• Built-in authentication system and various CLI tools.

Usage: Getting Started

Demo

A demo of the go-starter service is available at go-starter demo. Explore its functionalities and get a feel for its capabilities.

Requirements

Ensure you have the following setup for local development:

• Docker CE (19.03 or above)
• Docker Compose (1.25 or above)
• VSCode Extension for Remote – Containers

Quickstart

Starting your project is straightforward. Use the GitHub template repository feature to create your new repository:

git clone YOUR_NEW_REPO
cd YOUR_NEW_REPO
./docker-helper.sh --up

Merging with the go-starter Template

To stay updated with the latest changes from the go-starter template, run the following commands:

make git-merge-go-starter

This ensures compatibility with future updates so you can leverage the newest features and fixes.

Setting Up Your Project Module Name

To customize your project name in all necessary files, execute:

make set-module-name

Using Visual Studio Code

Familiarize yourself with the VSCode Remote – Containers feature to enhance your development experience. After connecting to the container, install all Go-related extensions by running:

CMD+SHIFT+P > Go: Install/Update Tools

Building and Running Your Service

To build and run your service, follow these commands inside your container:

make build
app server

Your service should now be running at http://127.0.0.1:8080.

Troubleshooting

If you encounter issues during setup or while running your application, these troubleshooting tips may help:

• Ensure Docker and Docker Compose are installed and running.
• Check your internet connection if you’re facing issues with dependencies.
• If using VSCode, verify that the Remote – Containers extension is properly installed.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

With go-starter, setting up a robust backend service is a breeze. It provides you with the fundamentals you need to build a scalable and maintainable application with ease. So, deploy your server and get started on your next big project today!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.