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Practice MCQs, live coding, and system design — tailored to your subject, topic, and difficulty. Get scored like a senior engineer.

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Loved by 1,500+ engineers
Features

Everything you need
to walk in ready

01 — Knowledge

Conceptual MCQ

AI-generated multiple-choice across every major CS topic, recalibrating to your level after every answer.

Adaptive difficulty per topic
Detailed explanations on every option
10,000+ questions and counting
Question 4 of 10
What does a load balancer primarily improve?
ACode readability
BAvailability & throughput
CType safety
Prompt
Accessible modal in React

Build a Modal component. It should:

role=dialog + aria-modal
Trap focus while open
Esc closes & restores focus
solution.tsRun
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import React, { useEffect, useRef } from 'react';

interface ModalProps {
  isOpen: boolean;
  onClose: () => void;
  children: React.ReactNode;
}

const Modal: React.FC<ModalProps> = ({ isOpen, onClose, children }) => {
  // TODO: implement rendering, ARIA, focus trap & cleanup
  return null;
};

export default Modal;
Step 1
Starter scaffold written

Generated the ModalProps interface and component shell — focus-trap and Escape handling are left as TODOs.

02 — Practical

Code Challenges

Write real code in a full editor with instant AI feedback, step-by-step hints and test scoring.

Full editor with syntax highlighting
Instant test runs and AI review
Python, JavaScript, Go & more
03 — Design

System Design

Sketch real architecture on an interactive whiteboard — drag services, wire up databases, caches and queues — and get evaluated like a senior engineer.

Drag-and-drop components
Auto-routed connections
Scored against real criteria
Prompt
Design a URL shortener

Handle 100M reads/day. Your design should cover:

Highly available API
Cache hot URLs
Durable datastore
Auth & rate limiting
GET static assets
API requests
WebSocket / SSE
Browser / Mobile Client
CDN Edge (Static Assets)
API Gateway / BFF
Realtime Sync Service
+
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React Flow
10,000+
Questions answered
3
Interview formats
4.9
Average rating
80+
Practice topics
app.prepai.io/dashboard
Welcome back, Tomer
32 sessions · 85 questions · Avg 62
Sessions
32
Questions
85
Avg score
62
SCORE TREND
38
68
60
92
45
82
52
70
88
35
04 — Progress

A dashboard that
keeps you honest

Every session feeds a live dashboard — the same one hiring managers wish they had. Watch your scores climb, week over week.

Performance trends by topic
Strengths & weak spots, surfaced
Streaks that keep you coming back
Reviews

Hear from our users

Engineers who turned practice into offers.

I went from bombing phone screens to two offers in six weeks. The adaptive difficulty is genuinely uncanny — it always knew what I was weak at.

A
Aisha
Software Engineer

The system-design whiteboard scored me harder than my real interviewer did. Showing up felt easy after that.

M
Marco
Backend Engineer

The dashboard kept me honest. Seeing my average score actually go up every week was the motivation I needed.

J
Jenny
New Grad Engineer

Way better than grinding random problem sets. Every session felt tailored to me, not to some generic checklist.

S
Sofia
Fullstack Engineer

The instant AI feedback on my code explained the why, not just the what. That alone was worth it.

D
David
Site Reliability Engineer

I recommend PrepyAI to everyone on my team prepping for interviews. It just works, and it looks beautiful doing it.

E
Elena
ML Engineer
Pricing

Simple, honest pricing

Start free. Upgrade when you're ready to go all in.

Free
$0

10 AI credits per day + free code runs. Enough for a daily MCQ session or a full code question.

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$19/ month

70 AI credits per day — a full practice day of code and system design.

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Practice Wizard
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$39/ month

Unlimited* practice — fair use 200 AI credits/day, 60/hour.

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with one session

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