How I went from "internship rejections" to building a live AI tool used by real developers
I'm going to be honest with you.
For months, I avoided deploying anything. Not because I didn't know how to build things — but because in my head, deployment was this terrifying final boss. Production errors. Server crashes. Configuration files that make no sense.
So I kept building locally. Finished projects sitting on my laptop. Never live. Never real.
Then one day, I just... did it. And it took less than 10 minutes.
That moment changed how I think about building software forever.
The Problem I Was Actually Trying to Solve
I'm a final-year CS student. I applied for internships. A lot of them.
The rejections kept coming.
At first I blamed the market. "There are no opportunities." But then I realized — the issue wasn't just the market. It was that I wasn't preparing the right way. I'd study DSA for weeks, then completely blank out on a behavioral question. Or freeze on a role-specific question I'd never practiced.
I needed something that could simulate a real interview. Ask me questions based on my specific role. Give me honest feedback.
I couldn't find exactly what I wanted. So I built it.
What I Built: DevPrep AI
DevPrep AI is an AI-powered mock interview coach, built specifically for developers.
Here's what it does:
- Role-specific questions — Frontend, Backend, Full Stack, SQA, DevOps
- Experience-level targeting — Internship to Senior level
- Real AI feedback on every answer you give
- Instant scoring + detailed analysis
- Technical, Behavioral, and HR rounds — the full experience
Not a quiz app. Not flashcards. An actual practice environment that talks back.
The Tech Stack
Next.js 14 → Framework
Tailwind CSS → Styling
Groq AI (Llama 3) → The brain
Vercel → Deployment
I chose Groq AI with Llama 3 because the inference speed is insane — responses come back fast enough that it feels like a real conversation. For an interview tool where momentum matters, this was everything.
The Midnight Debugging Moment
Let me be real about the build process.
There was a night — probably 1 AM — where the AI feedback wasn't working. Responses were coming back but the structure was off. The scoring logic was parsing wrong.
I stared at the same 20 lines of code thinking "this should work."
It didn't work.
What actually fixed it wasn't some genius move. It was stepping away, making tea, coming back, and reading the Groq API docs one more time. Small prompt adjustment. Big difference.
That night taught me: most bugs aren't complex — they're just misread.
The Deployment Moment
After weeks of building and debugging — the app was ready. And I had to deploy it.
I opened Vercel for the first time.
Connected my GitHub repo. It detected Next.js automatically. I didn't configure anything special. Hit deploy.
I watched the build logs scroll by. And then —
Live.
A real URL. My project, on the internet, accessible by anyone in the world.
I genuinely sat there refreshing it for a minute. That's my app. That's actually live.
The thing I had feared for months? It wasn't the hard part. The hard part was building something worth deploying. Vercel handled the rest.
What This Taught Me
1. Deploy early, deploy often.
The fear kept finished projects stuck on my laptop. Ship it. A broken live app teaches you more than a perfect local one.
2. Build for a problem you actually have.
I built DevPrep AI because I needed it. That motivation carried me through every debugging session.
3. AI tools are multipliers, not replacements.
Groq AI didn't build the app. It let me build something in weeks that would've taken months. The integration work, prompt engineering, UX — still on you.
4. The scary things usually aren't.
Deployment. Shipping. Showing people your work. Terrifying in your head. Manageable in reality.
Try It Yourself
DevPrep AI is completely free and live right now:
If you're a CS student sitting on a finished project that's never been deployed — deploy it today. It'll take less time than you think.
Feedback? Drop it in the comments. I read everything. 👇