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Learn From Production Code • AI-Powered Analysis

Learn From Real Production Code, Not Toy Tutorials

Explore how successful open-source applications are built. AI-powered analysis reveals architecture, logic flow, and behavioral patterns you can't learn from tutorials. Start with examples, then analyze your own projects.

Explore Sample Projects Analyze Your Own Code
50+
Languages Supported
2-5 Min
Average Analysis
AI
Behavioral Insights

The Challenge: Learning from Unfamiliar Code

Tutorial Hell

Todo apps don't teach you how production apps handle authentication, state management at scale, or complex business logic. You need real examples.

Black Box Codebases

Whether it's legacy code at work, an AI-generated app, or an unfamiliar framework — you're stuck analyzing manually. That takes weeks.

Missing Context

Reading code without understanding WHY decisions were made, HOW components interact, or WHAT patterns are used leaves you guessing.

Revibe breaks open production codebases and reveals their inner workings — architecture, behavioral patterns, and problem-solving approaches you can't learn from tutorials.

Learn from Production-Level Open Source Projects

Explore how successful applications implement algorithms, data structures, architecture patterns, and problem-solving strategies. Extract behavioral insights like scoring mechanisms, thresholds, and decision logic.

Then rebuild them yourself with guided DIY modules — learn by understanding and reconstructing real applications, not following tutorials.

Everything You Need to Master Any Codebase

Extract Algorithmic Behavior Patterns

Our unique behavioral analysis reveals HOW algorithms make decisions — thresholds, penalties, scoring mechanisms, and logic patterns hidden in production code.

Scoring & Ranking Logic

Discover how applications calculate scores, rank items, and prioritize results

relevance_score = base_score * (1 + recency_boost)

Threshold Detection

Identify critical thresholds that trigger different behaviors or decision paths

if confidence > 0.85: use_cached else: recompute

Penalty Systems

Understand how applications penalize edge cases, handle errors, or enforce limits

penalty = base_penalty * severity_multiplier

Decision Trees

Trace multi-branch logic and conditional flows through complex code

if A and B: path1 elif C: path2 else: fallback

System Architecture Visualization

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

%%{init: {'theme':'dark'}}%% C4Context title System Context - Real Application Architecture Person(user, "User", "Interacts with the system") Enterprise_Boundary(system, "Application System") { System(app, "Main Application", "Provides analysis, insights, and interactive features") } System_Ext(authentication, "Authentication", "User identity & session management") System_Ext(api_services, "API Services", "External integrations & data sources") System_Ext(storage, "Cloud Storage", "File storage & retrieval") Rel(user, app, "Uses system to analyze code") Rel(app, authentication, "Authenticates via") Rel(app, api_services, "Fetches data from") Rel(app, storage, "Stores & retrieves files") UpdateRelStyle(user, app, $textColor="#cbd5e1", $lineColor="#00f5ff") UpdateRelStyle(app, authentication, $textColor="#cbd5e1", $lineColor="#ff006e") UpdateRelStyle(app, api_services, $textColor="#cbd5e1", $lineColor="#8338ec") UpdateRelStyle(app, storage, $textColor="#cbd5e1", $lineColor="#00f5ff")

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

How It Works

1. Choose a Project

Start with our curated examples, import a public GitHub repo, or upload your own project (ZIP). Supports 50+ languages.

2. AI-Powered Deep Analysis

Google's Gemini AI dissects your codebase: mapping architecture, tracing dependencies, extracting behavioral patterns, and identifying key concepts. Analysis typically completes in 2-5 minutes.

3. Interactive Exploration

Navigate visual diagrams, drill into file explanations, explore concept definitions, and discover algorithm behaviors.

4. Hands-On Learning

Follow DIY guides to rebuild components yourself. Test your understanding by implementing what you've learned. (Optional but recommended)

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.

FastAPI Authentication

Explore how FastAPI implements JWT auth, OAuth flows, and session management in a production environment

Python Authentication API Design
Explore Project →

React State Management

Discover how production React apps manage complex state, handle side effects, and optimize re-renders

JavaScript React State Management
Explore Project →

PostgreSQL Query Optimization

Learn how high-traffic applications optimize database queries, use indexes, and handle millions of records

SQL Database Performance
Explore Project →

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

Get Started Free

Coming Soon: Interactive Exploration

We're building advanced features for power users who want to go deeper into code analysis

Q1 2025

Click-Through Call Graphs

Navigate function calls bidirectionally — see what calls a function and what it calls

Q2 2025

Semantic Code Search

Find all HTTP requests, auth logic, or error handlers with intelligent queries

Q2 2025

Live Variable Tracking

Click any variable to see all uses, modifications, and data flow paths

Q3 2025

Codebase Comparison

Compare how different projects implement similar features (e.g., Auth in Project A vs B)

Have feature requests? Join our Discord and let us know what you need!

Ready to Learn from Production Code?

Join developers mastering real-world applications through AI-powered analysis and hands-on rebuilding

Start with Examples Or Sign Up Free

Free forever • No credit card required • 50+ languages supported