Vibe Coding a Real-Time Pixel Collaboration App 🎨

Try the live demo: πŸ‘‰ Play Pixxame Now

In this tutorial, we’ll build a real-time pixel collaboration app where users can share a canvas, create collaborative pixel art, and chat β€” all powered by Taubyte’s WebSockets, serverless functions, and databases…


This content originally appeared on DEV Community and was authored by Zaoui Amine

Try the live demo: πŸ‘‰ Play Pixxame Now

In this tutorial, we’ll build a real-time pixel collaboration app where users can share a canvas, create collaborative pixel art, and chat β€” all powered by Taubyte’s WebSockets, serverless functions, and databases.

pixxame

🧩 Tech Stack

Layer Technology
Frontend React + TypeScript + Tailwind CSS
Backend Taubyte (Go serverless functions, databases, WebSockets)
Communication Taubyte WebSockets + Pub/Sub channels
Local Dev Dream (Taubyte’s local cloud) + AI coding (Cursor)

πŸš€ Step 1: Set Up Local Cloud

Create a new local cloud with Dream:

dream new multiverse

Then open console.taubyte.com, log in, and select Dream/blackhole (default local project).

login taubyte

🧱 Step 2: Create Project

Create a new project (e.g., my-pixel-app) and optionally add a description.

create new project taubyte

βž• Step 2.1: Add Applications

Create two applications under your project:

Name Purpose
frontend Hosts the React website
backend Handles real-time logic

πŸ’‘ Make sure to create a global domain so both apps share the same origin.

create application taubyte

🌐 Step 3: Configure Libraries & Websites

Frontend Website

  • Name: your-project-frontend
  • Domain: your global domain
  • Path: /

website

Backend Library

  • Name: your-project-backend
  • Language: Go (empty template)

library

🧭 Step 4: Clone Repositories

Frontend

git clone <your-frontend-repo-url>
cd <your-frontend-repo-name>

Backend

git clone <your-backend-repo-url>
cd <your-backend-repo-name>

To help the AI assistants like "Cursor" clone the taubyte-guide folder in to your project folder

git clone https://github.com/taubyte/agents.doc taubyte-guide

the initial folder structure should look like :

pixxame/
β”œβ”€β”€ taubyte-guide/
β”œβ”€β”€ frontend/
β”‚   β”œβ”€β”€ .taubyte/
β”‚   └── src/  
└── backend/
    └── .taubyte/ 

πŸ’‘ Step 5: Initialize Frontend

Set up the React + Tailwind project:

cd <your-frontend-repo-name>
npm create vite@latest . -- --template react-ts
npm install
npm install -D tailwindcss
npx tailwindcss init -p

Clean boilerplate CSS and configure Tailwind.

🧠 Step 6: Build the Interface (with AI)

Core Components:

  • Navigation bar (logo + login)
  • Pixel canvas for drawing
  • Color toolbar (with PNG export)
  • Chat panel (responsive)

AI-Generated Features:

  • Real-time pixel sync
  • Color selection + export
  • Responsive chat UI
  • Local username storage

🎨 AI Prompt Used in Cursor (Frontend)

This is the exact prompt used in Cursor to generate the Pixxame frontend.
It was guided by the .taubyte folder to ensure the AI followed Taubyte project standards.

cursor, add a .taubyte folder to the tb_website_pixxame_frontend 
using the guide.  
add a slate background and a simple navbar with no links.  
remove the password field and add a logo.  
add a canvas for our game where users can draw pixels to create a shared image.  
add a toolbar above the canvas with color options and an export button.
add a chat panel on the right side that matches the combined height of the toolbar and canvas.
make the layout responsive:  
– on smaller screens, turn the chat into a chat bubble.  
– fix the toolbar CSS so it stays above the canvas, not under the navbar.  
– make sure the navbar is not absolute.

πŸ’‘ Tip: Copying the .taubyte guide folder into your project helps Cursor or Copilot understand how Taubyte projects work, ensuring cleaner AI-generated code and consistent folder structure.

βš™οΈ AI Prompt Used in Cursor (Backend)

This prompt was used to generate the Taubyte backend library, including HTTP endpoints and Pub/Sub functions.

in the tb_library backend, add the following HTTP endpoints:  
– GET /api/canvas β†’ fetch saved pixels from the "/canvas" database as JSON  
– GET /api/getchannelurl β†’ return the WebSocket URL for a given channel name  
add two Pub/Sub functions:  
– onPixelUpdate β†’ listens to WebSocket events and stores pixel updates in the "/canvas" database  
– onChatMessage β†’ listens to chat messages and saves them in the "/chat" database and channel

🧠 Note: These prompts guided the AI to automatically generate Taubyte-compliant Go functions with database access and real-time WebSocket event handling.

πŸ—ƒοΈ Step 7: Create Taubyte Databases & Channels

Databases

Name Purpose Size
canvas Stores pixel data 10MB
chat Stores chat messages 10MB

Pub/Sub Channels

Channel Purpose
pixels Real-time drawing
chat Real-time chat

βš™οΈ Step 8: Implement Backend Logic

Endpoints to create:

Method Path Description
GET /api/canvas Get current pixel data
GET /api/chat Get chat history
GET /api/channel-url Get WebSocket URLs

Add Pub/Sub functions:

  • onPixelUpdate β†’ syncs canvas data to DB
  • onChatMessage β†’ stores chat messages
tb_library_pixxame_backend/
β”œβ”€β”€ .taubyte/
β”œβ”€β”€ canvas.go
β”œβ”€β”€ chat.go
β”œβ”€β”€ types.go
β”œβ”€β”€ utils.go
β”œβ”€β”€ go.mod
β”œβ”€β”€ go.sum
└── README.md

πŸ”— Step 9: Connect Frontend to Backend

Integrate WebSockets:

  • Client ↔ Taubyte WebSockets ↔ Backend
  • Backend persists data in DB
  • Use JSON for all exchanges

Open multiple tabs to test real-time collaboration.

two clients

☁️ Step 10: Deploy & Test

Commit and push changes:

git add .
git commit -m "Add real-time collaboration features"
git push

Trigger local builds:

dream inject push-specific --rid <frontend-id> --fn <frontend-name>
dream inject push-specific --rid <backend-id> --fn <backend-name>

builds tab

🏁 What We Built

βœ… Multi-user real-time pixel canvas
βœ… Live chat system
βœ… Export artwork as PNG
βœ… Responsive UI
βœ… Fully managed backend on Taubyte

πŸ’­ Key Takeaways

  • AI coding + Taubyte = supercharged dev flow
  • Infrastructure-free: focus on app logic, not setup
  • Real-time collaboration is easy with Pub/Sub
  • Dream accelerates local development

Resources

Ready to build your own real-time app?
Combine AI development with Taubyte’s infrastructure β€” complex multiplayer systems become simple.


This content originally appeared on DEV Community and was authored by Zaoui Amine


Print Share Comment Cite Upload Translate Updates
APA

Zaoui Amine | Sciencx (2025-10-06T17:13:28+00:00) Vibe Coding a Real-Time Pixel Collaboration App 🎨. Retrieved from https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/

MLA
" » Vibe Coding a Real-Time Pixel Collaboration App 🎨." Zaoui Amine | Sciencx - Monday October 6, 2025, https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/
HARVARD
Zaoui Amine | Sciencx Monday October 6, 2025 » Vibe Coding a Real-Time Pixel Collaboration App 🎨., viewed ,<https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/>
VANCOUVER
Zaoui Amine | Sciencx - » Vibe Coding a Real-Time Pixel Collaboration App 🎨. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/
CHICAGO
" » Vibe Coding a Real-Time Pixel Collaboration App 🎨." Zaoui Amine | Sciencx - Accessed . https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/
IEEE
" » Vibe Coding a Real-Time Pixel Collaboration App 🎨." Zaoui Amine | Sciencx [Online]. Available: https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/. [Accessed: ]
rf:citation
» Vibe Coding a Real-Time Pixel Collaboration App 🎨 | Zaoui Amine | Sciencx | https://www.scien.cx/2025/10/06/vibe-coding-a-real-time-pixel-collaboration-app-%f0%9f%8e%a8-3/ |

Please log in to upload a file.




There are no updates yet.
Click the Upload button above to add an update.

You must be logged in to translate posts. Please log in or register.