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Akshat Sharma
Akshat Sharma

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🚀 How I Built My First Full-Stack AI Chat Application (…and Survived My First Real Deployment)

Building my first full-stack AI chat application was exciting, chaotic, overwhelming, and—if I’m being honest—emotionally damaging in a character-building way.
It was also the first time I ever deployed a real production-level project, and I faced enough bugs to make my brain blue-screen multiple times.

But hey… that’s the full-stack life, right?

Here’s how it all went down.

💡 The Idea

I wanted to build a platform where users could:

Chat with an AI assistant
Generate images using text prompts
Invite friends and chat together
Track and spend credits
Purchase more credits
Use a clean UI with smooth animations
And enjoy a modern collaborative experience

Basically: Gemini + imagekit + a mini social platform — all wrapped in a full-stack MERN application.


🧱 Building the Core Features

  1. Real-Time Chat System

This was the heart of the app.
Users could message each other, chat with the AI, or do both.
Handling real-time updates, message ordering, and user presence made me question my life choices at least twice.

  1. AI Image Generation

Connecting to the AI API was fine.
Handling the return data and displaying the generated images without breaking everything?
Another story.

  1. Credits & Purchases

A surprisingly fun system to build:

Users earn or buy credits
AI requests consume them
No credits = no AI magic
Payments update instantly

It makes the app feel like a real product, not just a side project.

  1. Clean UI + Micro Animations

I wanted more than “functional.”
I wanted smooth*

chat bubbles animating in
modals sliding out
loading states that actually look intentional

These little touches make everything feel premium.

🧩 The Tech Stack (MERN)

Here’s everything I used:

MongoDB

Stored users, credits, messages, and AI logs.

Express.js

Built the backend API routes and AI endpoints.
React

Handled the entire front-end interface, routing, chat UI, and animations.

Node.js

Powered the backend, real-time interactions, and server logic.

Bonus Tools

Socket.io → real-time chat
Stripe → credit purchases
AI APIs → responses + image generation
JWT Auth → secured everything

😭 The Painful Part: My First Deployment Ever

Let’s talk about the emotional damage.

This was my first time deploying any real project, and I walked straight into a boss-level challenge.

Here are just some things that nearly destroyed me:

🔥 Environment Variables Didn’t Work

Everything was perfect locally…
and absolutely dead on the server.

🧨 CORS Turning Into a Personal Enemy

CORS errors everywhere.
Every attempt to fix them made new ones appear.

💥 Socket.io Behaving Differently in Prod

It worked locally.
It worked in staging.
Then production said: “haha no.”

🫠 MongoDB Connection Issues

One typo.
One.
And the whole backend refused to start.

💀 Build Crashes With Zero Helpful Info

Errors like:

“Something broke.”

Yes. Something definitely broke…
my soul.

But after hours (fine… days), I got it running.
And that deployment success screenshot is now my Roman Empire—I think about it weekly.

🌟 What I Learned

  • Deployment teaches more than coding
  • Logs are spiritual guidance
  • CORS should be studied in therapy
  • Never trust “it works on my machine”
  • MERN is powerful but unforgiving
  • Write. Things. Down.

But my biggest takeaway?

“You aren’t a real full-stack dev until a deployment attempts to emotionally destroy you.”

🎉 Final Thoughts

This project wasn’t just another build—it was a genuine milestone.
I shipped my first full-stack AI application, fought deployment monsters, and came out alive.

And now, here I am—publishing my 'first-ever Dev.to blog post' about the journey.

If you're building something ambitious or chaotic… welcome to the club.
Just know you’re not alone in this mess, and it 'does' get easier.

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