Prepio - Complete AI-Powered Coding Education Platform

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  Hero section

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  Mode selection

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  Challenge mode selection

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  The Challenge page with Monaco editor

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  Interview prep mode selection

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  Interview Simulation

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  Profile page

Inspiration

Prepio was inspired by the fragmented and often overwhelming nature of coding education. Many developers struggle to find cohesive resources for learning, practicing, and preparing for interviews. Observing how language-learning platforms like Duolingo engage users through gamification and personalized progression, I wanted to create a platform that could bring the same level of engagement and adaptability to coding education. The goal was to provide a unified experience that combines practice, interview preparation, and progress tracking into a single, AI-powered platform.

What it does

Prepio is a comprehensive coding education platform that offers both practice and interview preparation modes. It provides AI-generated coding challenges in multiple programming languages, adapts to users’ skill levels, and evaluates solutions based on correctness, efficiency, and code quality. The platform includes a 4-stage interview simulation system with coding, technical Q&A, behavioral evaluation, and AI-generated performance reports. Users can track their progress through gamified levels, badges, daily streaks, and analytics dashboards, while enjoying a professional, responsive interface designed for optimal user experience.

How we built it

The platform was built using Next.js 14 with TypeScript for full type safety and Tailwind CSS with Shadcn/UI for consistent, responsive design. The Monaco Editor was integrated to provide a VS Code-like coding experience, and Supabase was used for authentication, real-time database management, and session handling. AI-driven challenge generation and evaluation were implemented using Google’s Gemini models. The development process followed a spec-driven approach using Kiro IDE, which allowed structured, iterative building of features while maintaining quality and consistency across the project.

Challenges I ran into

One of my primary challenges was implementing AI evaluation logic that could accurately assess not only correctness but also efficiency, readability, and adherence to best practices, while adapting to different skill levels. I also had to integrate multiple programming languages into a seamless coding environment and design a dark-themed interface that remained both professional and engaging. Time constraints were tough, given the large number of features I wanted to implement within a hackathon setting. Ensuring smooth real-time streak tracking and analytics across a dynamic database added even more complexity.

Accomplishments that I'm proud of

I am particularly proud of creating a fully functional AI-driven interview preparation system that simulates real-world coding interviews in four stages. The gamification system, including levels, badges, and streak tracking, successfully motivates users and enhances engagement. I integrated advanced AI evaluation with multi-dimensional scoring, a professional UI/UX design, and a secure, scalable backend. Achieving production-level functionality within a hackathon timeline is a significant accomplishment thanks to Kiro Ide.

What I learned

Throughout the project, I learned how to effectively integrate AI systems into a structured SaaS platform, how to manage a scalable database with real-time analytics, and how to design a user experience that balances complexity with usability. I also gained experience in spec-driven development, ensuring consistency across the platform, and learned how to combine gamification, progress tracking, and professional interview simulations into a cohesive educational product.

What's next for Prepio

Moving forward, I plan to expand Prepio by adding support for additional programming languages, more advanced AI evaluation features, and personalized learning paths tailored to individual user goals. I aim to enhance the interview preparation mode with company-specific simulations and deeper behavioral analysis. Additionally, I plan to introduce collaborative coding exercises, community features, and integrations with third-party learning resources to make Prepio the most comprehensive AI-powered coding education platform available.

Prepio is a fully functional, production-ready AI-powered coding education platform that can be accessed and explored live at link . Users can experience the complete feature set, including practice challenges, interview simulations, gamified progression, and real-time analytics, directly in the platform without any installation or setup.

Built With

• googlegenerativeai
• kiroide
• monacoeditor
• next.js
• shadcn
• supabase
• tailwind
• typescript