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AI-powered Reverse-engineering

Learn how to build software, not just code!

Let AI handle the Code. You design systems. Learn by reverse-engineering how great engineers build production-ready applications.

Explore Open Source Gallery Analyze Your Own / Vibe Code
50+
Languages Supported
2-5 Min
Average Analysis
100 MB
Project Size

Master the Skills AI Can't Replace

"Knowledge of syntax and programming languages... are losing their relevance. What matters now: Systems design and architecture, innovative product thinking, deep domain knowledge."
— Matt Biilmann, CEO of Netlify

🧠

Systems Thinking

How components interact, where bottlenecks occur, and what trade-offs exist at scale.

✓ Architecture diagrams
✓ User interaction flows
✓ Dependency tracking

🏗️

Architectural Intuition

Why patterns are chosen, how auth flows across services, and which designs solve specific problems.

✓ Pattern identification
✓ Design decisions explained
✓ Real-world examples

⚙️

Technical Depth

Algorithms in action, data structures solving real problems, and design patterns that scale — see CS concepts applied in production.

✓ Algorithms in context
✓ Data structure applications
✓ Design pattern recognition

🔀

Decision-Making Logic

User action to database — trace which code executes, how data flows, and where transformations happen.

✓ Step-by-step code traces
✓ Data transformation tracking
✓ Performance insights

See How It's Built, Then Build It Yourself

Trace User Actions Through Code

See exactly what code executes when a user performs an action. Like debugging, but for learning — follow the execution path from user click to final result.

Entry to Exit Path

User sends command to compress file → Which function catches it? → What validation happens? → How is the file processed? → Where is the result sent?

START → validateInput() → processFile() → compress() → sendResponse() → END

"How It Works" Explanations

Every step includes detailed explanations of HOW the code works and WHY that approach was chosen — not just what the code does

Key Variables & Performance

See which variables matter at each step, their values, and identify performance bottlenecks in the execution flow

Concrete Examples

Real examples showing how data transforms from user input to final output, making abstract code tangible

System Architecture Visualization

Automatically generated architecture diagrams that show the big picture of your system's structure

%%{init: {'theme':'dark'}}%% flowchart TD subgraph "1. User Interfaces" A["GUI File Manager
(App.cpp, App.h)"] B["Console Application
(Main.cpp, 7zMain.c)"] end subgraph "2. Application Core" C["Orchestration & UI Logic
(Command Parsing, File Ops)"] end subgraph "3. Archive Format API" D["7-Zip Archive Handler
(7z.h, 7zDec.c)"] end subgraph "4. Codec & Filter Library" E["LZMA / LZMA2 Codecs
(LzmaEnc.c, LzmaDec.c, Lzma2Enc.c)"] F["Other Codecs & Filters
(PPMd, BCJ2)"] end subgraph "5. Platform Abstraction & System Services" G["System Wrappers
(NWindows, NFile, NSystem)"] H["OS-Specific APIs
(Windows API, POSIX)"] end A --> C B --> C C --> D D --> E D --> F C -.-> G D -.-> G E -.-> G G --> H

Business Logic Flow

Understand the decision-making logic and data flow in your application

%%{init: {'theme':'dark', 'fontSize': '12px'}}%% flowchart TB A[Start Processing] B{Choose Source} C[Upload PDF] D[Load Sample] E{Validate & Extract} F[Error] G[Show Text] H[Fill Form] I[AI Analysis] A --> B B --> C B --> D C --> E E --> F E --> G D --> G G --> H H --> I style A fill:#ff006e,stroke:#cbd5e1,stroke-width:1px,color:#fff style C fill:#00f5ff,stroke:#cbd5e1,stroke-width:1px,color:#000 style E fill:#8338ec,stroke:#cbd5e1,stroke-width:1px,color:#fff style G fill:#ff006e,stroke:#cbd5e1,stroke-width:1px,color:#fff style I fill:#00f5ff,stroke:#cbd5e1,stroke-width:1px,color:#000

DIY Learning Modules

Progressive skill-building through guided exploration and hands-on rebuilding exercises

Intermediate

Understanding Authentication Flow

Learn how JWT authentication works in modern web applications

5 Steps
Advanced

Database Design Patterns

Master the art of designing scalable database schemas

7 Steps
Beginner

API Architecture Fundamentals

Build robust REST APIs with FastAPI and best practices

6 Steps

Learn Concepts That Actually Stick

Algorithms & Data Structures matter — but only when you see them solve real problems.

❌

Traditional Learning

  • 📚 "Binary Search is O(log n)"
    Memorize for interviews
  • 📚 "Tries store strings efficiently"
    What's a Trie again?
  • 📚 "Here's how to implement OAuth"
    Copy-paste from docs
→
✅

Production Reality

  • 🔍 How Elasticsearch searches millions of records in milliseconds
    See binary search in action
  • 🔍 How VS Code autocomplete uses Tries for instant suggestions
    Understand why it's fast
  • 🔍 How Supabase handles OAuth edge cases in production
    Learn the "why" behind decisions

Revibe shows you REAL implementations, edge cases, trade-offs, and patterns battle-tested in production.

How It Works

1. Choose a Project

Explore curated examples, import a GitHub repo, or upload your own code (ZIP). Supports 50+ languages.

2. AI-Powered Analysis

Revibe maps architecture, traces dependencies, extracts behavioral patterns, and identifies key concepts. Analysis completes in 2-5 minutes.

3. Explore & Understand

Navigate architecture diagrams, trace user interaction flows, explore design patterns, and understand how code executes from user action to database.

4. Build It Yourself

Follow guided DIY modules to rebuild components and test your understanding through hands-on implementation.

Explore Sample Projects

See Revibe in action with pre-analyzed open source projects. No signup required — dive straight into architecture diagrams, behavioral insights, and learning paths.

7-Zip

Explore the legendary file archiver's compression algorithms, LZMA codec implementation, and multi-format support architecture

C++ Compression Algorithms
Explore Project →

OBS Studio

Dive into the professional video recording and live streaming software's architecture, scene composition, and real-time encoding pipeline

C++ Video Processing Streaming
Explore Project →

nanochat by Andrej Karpathy

Learn from Andrej Karpathy's minimalist AI chat implementation — clean architecture, transformer models, and elegant simplicity

Python AI/ML Chat
Explore Project →

Once you've explored the examples, try analyzing your own projects or public GitHub repos

Get Started Free

Simple, Transparent Pricing

Start free with 3 analyses, upgrade for deep insights and unlimited learning

Free

See what your code looks like

₹0 forever

3 lifetime analyses

Get Started Free
  • 3 project analyses (lifetime)
  • Architecture diagrams
  • File & folder structure
  • Tech stack detection
  • Dependency graph
  • Full gallery access
  • Public GitHub repos
  • 50+ languages
RECOMMENDED

Pro

Understand how & why it works

₹1,250 /month

or ₹12,000/year (save 20%)

Upgrade to Pro

Everything in Free, PLUS:

  • 5 analyses per month
  • User Interaction Flows
  • DIY Learning Modules
  • Concept Explanations
  • Business Logic Flows
  • Code-level Insights
  • Private GitHub repos
  • Download as PDF
  • Permanent result storage
  • Priority processing queue
  • No Revibe branding

Free: See the structure • Pro: Understand how it works & build it yourself

Need team features or custom solutions? Contact us

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Join developers mastering systems thinking, architecture, and domain knowledge — the skills that matter in the AI era

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