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Build a FullStack AI App with Next.js 16, Golang, PostgreSQL and N8N | Fullstack Golang Project

Build a FullStack AI App with Next.js 16, Golang, PostgreSQL and N8N | Fullstack Golang Project is an end-to-end build you ship on AceDevHub — not a snippet repo. Download the source, walk through the implementation guide below, and treat each module as a milestone toward a deployable OpenAI, Next.js, PostgreSQL, Go project. , we’re building a full-stack AI application from start to finish using Next.js 16, Golang, PostgreSQL, and n8n orchestration.

  • AI Development
1.6k215May 25, 2026

Tech stack

Tools we use

  • OP

    OpenAI

    Core tool

  • Nx

    Next.js

    App framework

  • Pg

    PostgreSQL

    Data layer

  • GO

    Go

    Core tool

  • DO

    Docker

    Core tool

Build guide

How to build this project

How to build Build a FullStack AI App with Next.js 16, Golang, PostgreSQL and N8N | Fullstack Golang Project

This guide is written for AceDevHub visitors — you do not need a YouTube description to get started. Difficulty: Intermediate.

What this project is

Build a FullStack AI App with Next.js 16, Golang, PostgreSQL and N8N | Fullstack Golang Project is an end-to-end build you ship on AceDevHub — not a snippet repo. Download the source, walk through the implementation guide below, and treat each module as a milestone toward a deployable OpenAI, Next.js, PostgreSQL, Go project.

What you get

  • Full project source code archive (ZIP)
  • Environment and run instructions in the repo README
  • Module-oriented folders matching the original curriculum

Skills you will practice

  • Apply OpenAI in a realistic intermediate codebase
  • Apply Next.js in a realistic intermediate codebase
  • Apply PostgreSQL in a realistic intermediate codebase
  • Apply Go in a realistic intermediate codebase
  • Apply Docker in a realistic intermediate codebase

Implementation approach

Work through the repository in this order:

  1. Define data models — Model users, messages, designs, or AI context before UI.
  2. Implement API layer — Ship typed routes/services with validation and error shape.
  3. Connect the client — Wire forms, realtime channels, or AI calls to the backend.
  4. Harden and ship — Add auth guards, logging, and deployment scripts.

Tech stack

  • OpenAI
  • Next.js
  • PostgreSQL
  • Go
  • Docker

Getting started

  1. Sign in to AceDevHub and download the source archive from this page.
  2. Extract the ZIP and open the README for environment variables and prerequisites.
  3. Copy .env.example to .env, then start services with Docker Compose where provided.
  4. Create a local PostgreSQL database and apply migrations or seed scripts from the repo.
  5. Run the dev script, verify the app boots, then follow the implementation sections below.

Stretch ideas

  • Add automated tests for critical paths
  • Instrument logging and health checks for production
  • Publish a trimmed portfolio variant with seed data

Sign in on AceDevHub to download the archive, then treat this page as your permanent project reference.