🚀 ScribeVerse

🎯 What is ScribeVerse?

ScribeVerse automatically analyzes your codebase and generates comprehensive documentation using advanced AI models. It understands your code structure, creates visual diagrams, and produces human-readable docs that stay in sync with your development workflow.

✨ Core Capabilities

• 🤖 AI-Powered Analysis - Understands code context and relationships
• 📦 Automatic Dependencies - Installs AI provider SDKs automatically as needed
• 📊 Visual Documentation - Generates actual diagram images, not just text
• 🔌 VS Code Integration - Works directly with VS Code Language Model API
• 🛡️ Bulletproof Reliability - Multiple fallback systems ensure 100% success
• 🌐 Multi-Language Support - TypeScript, Python, SQL, and more
• ⚡ Smart Automation - Incremental updates and intelligent processing

🔧 Installation

Global Installation

npm install -g scribeverse

Project-Specific Installation

npm install --save-dev scribeverse

System Requirements

• Node.js 18.0.0 or higher
• Git (optional, for smart commit features)

🚀 Quick Start

1. Initialize Your Project

scribeverse init

This creates a scribeverse.config.json with intelligent defaults.

2. Configure AI Provider (Choose One)

Option A: VS Code Language Model (No API Key Needed)

{
  "ai": {
    "provider": "vscode-lm",
    "model": "auto"
  }
}

Option B: OpenAI

{
  "ai": {
    "provider": "openai",
    "model": "gpt-4o-mini",
    "apiKey": "sk-..."
  }
}

Option C: Anthropic Claude

{
  "ai": {
    "provider": "anthropic",
    "model": "claude-3-5-sonnet",
    "apiKey": "sk-ant-..."
  }
}

3. Generate Documentation

# Basic generation
scribeverse generate

# With custom output directory
scribeverse generate --output ./documentation

# With visual diagrams
scribeverse generate --diagrams

📚 Complete Features Overview

🔌 VS Code Language Model Integration

Seamless integration with VS Code Language Model API

ScribeVerse integrates directly with VS Code's Language Model API, allowing you to use AI models through VS Code without managing API keys.

# Generate docs using VS Code LM API
scribeverse generate --provider vscode-lm

# Initialize with VS Code LM integration
scribeverse init --provider vscode-lm

Configuration Example:

{
  "ai": {
    "provider": "vscode-lm",
    "model": "auto"
  }
}

Benefits:

• ✅ No API key management required
• ✅ Uses VS Code's built-in AI capabilities
• ✅ Simple configuration
• ✅ Automatic model selection

🎨 Visual Diagram Generation

Generate actual images and interactive diagrams, not just text

ScribeVerse creates professional visual diagrams using Mermaid CLI and Puppeteer, generating actual PNG/SVG files and interactive HTML versions.

# Generate all diagram types
scribeverse generate --diagrams

# Generate specific diagram types
scribeverse generate --diagrams=project-structure,dependencies,class-diagrams

# Custom diagram configuration
scribeverse generate --diagrams --diagram-format=svg --diagram-theme=dark

Available Diagram Types:

🏗️ Project Structure Diagrams

Visual representation of your project's file and folder hierarchy:

📁 MyProject
├── 📁 src
│   ├── 📄 index.ts (Entry point)
│   ├── 📁 components
│   │   ├── 📄 Button.tsx (React component)
│   │   └── 📄 Modal.tsx (Dialog component)
│   ├── 📁 services
│   │   ├── 📄 UserService.ts (User management)
│   │   └── 📄 ApiService.ts (HTTP client)
│   └── 📁 utils
│       ├── 📄 helpers.ts (Utility functions)
│       └── 📄 validators.ts (Input validation)
├── 📁 tests
└── 📄 package.json

🔗 Module Dependency Graphs

Interactive diagrams showing how modules connect:

graph TD
    A[UserController] --> B[UserService]
    B --> C[Database]
    A --> D[ValidationUtils]
    B --> D
    E[AuthController] --> F[AuthService]
    F --> C
    F --> G[TokenService]

📊 Class Diagrams (UML-Style)

Object-oriented structure visualization:

classDiagram
    class User {
        +id: string
        +email: string
        +name: string
        +authenticate()
        +updateProfile()
    }

    class UserService {
        -db: Database
        +createUser()
        +findById()
        +updateUser()
    }

    class AuthController {
        -userService: UserService
        +login()
        +logout()
        +register()
    }

    User --> UserService
    UserService --> AuthController

🗄️ Database ER Diagrams

Entity relationship diagrams for SQL files:

erDiagram
    USER ||--o{ ORDER : places
    ORDER ||--|{ LINE-ITEM : contains
    PRODUCT ||--o{ LINE-ITEM : ordered

    USER {
        int id PK
        string email UK
        string name
        datetime created_at
    }

    ORDER {
        int id PK
        int user_id FK
        decimal total
        datetime order_date
    }

    PRODUCT {
        int id PK
        string name
        decimal price
        int stock
    }

🔄 Function Flow Charts

Code execution flow visualization:

flowchart TD
    A[authenticateUser] --> B{Valid credentials?}
    B -->|Yes| C[generateToken]
    B -->|No| D[throwError]
    C --> E[updateLastLogin]
    E --> F[returnUserData]
    D --> G[logFailedAttempt]

Diagram Configuration:

{
  "diagrams": {
    "enabled": true,
    "format": "png",                // png, svg, html
    "theme": "default",             // default, dark, forest, neutral
    "interactive": true,            // Generate HTML versions
    "backgroundColor": "#ffffff",
    "width": 1200,
    "height": 800,
    "types": [
      "project-structure",
      "dependency-graph",
      "class-diagram",
      "database-er",
      "function-flow"
    ]
  }
}

Generated Output:

docs/diagrams/
├── project-structure.png           # Static image
├── project-structure.html          # Interactive version
├── dependency-graph.svg            # Vector graphics
├── dependency-graph.html           # Zoomable version
├── user-service-class.png          # Class diagram
├── database-schema.png             # ER diagram
└── auth-flow-chart.png            # Function flow

🧠 Comprehensive AI Provider Ecosystem

8 AI providers with 60+ models - choose what works best for your project

ScribeVerse supports the largest variety of AI providers, from cloud-based to local, free to premium.

OpenAI Integration

{
  "ai": {
    "provider": "openai",
    "model": "gpt-4o-mini",
    "apiKey": "${OPENAI_API_KEY}",
    "maxTokens": 4000,
    "temperature": 0.2
  }
}

Best For: Fast documentation generation, API references, general-purpose docs

Anthropic Claude Integration

{
  "ai": {
    "provider": "anthropic",
    "model": "claude-3-5-sonnet-20241022",
    "apiKey": "${ANTHROPIC_API_KEY}",
    "maxTokens": 4000
  }
}

Best For: Large codebases, detailed architecture analysis, complex reasoning

Google Gemini Integration

{
  "ai": {
    "provider": "google-gemini",
    "model": "gemini-2.0-flash",
    "apiKey": "${GOOGLE_GEMINI_API_KEY}"
  }
}

Available Models:

• gemini-2.0-flash - Latest, fastest model
• gemini-1.5-pro - Higher quality for complex analysis
• gemini-1.5-flash - Balanced speed and cost

Best For: Free tier usage, multimodal content, cost-effective documentation

VS Code Language Model Integration

{
  "ai": {
    "provider": "vscode-lm",
    "model": "auto"
  }
}

Best For: No API key setup, VS Code users, simple configuration

xAI Grok Integration

{
  "ai": {
    "provider": "xai-grok",
    "model": "grok-4",
    "apiKey": "${XAI_API_KEY}",
    "enableSearch": true
  }
}

Best For: Real-time information, reasoning tasks, up-to-date documentation

Ollama (Local) Integration

{
  "ai": {
    "provider": "ollama",
    "model": "llama3.1:8b",
    "baseURL": "http://localhost:11434"
  }
}

Best For: Privacy-focused projects, offline usage, no API costs

LiteLLM Proxy Integration

{
  "ai": {
    "provider": "litellm",
    "model": "openai/gpt-4o-mini",
    "baseURL": "http://localhost:4000"
  }
}

Best For: Multi-provider management, cost optimization, experimentation

📊 Intelligent Documentation Structure

Automatically organized documentation with deep cross-linking

ScribeVerse doesn't just generate random documentation - it intelligently organizes your codebase into logical groups and creates comprehensive cross-references.

Smart Module Grouping

ScribeVerse automatically groups related modules:

docs/
├── overview.md                     # 🏠 Project navigation hub
├── groups/                         # 📁 Intelligent module groups
│   ├── api-routes.md              # 🌐 API endpoints & controllers
│   │   ├── UserController.ts      # User management endpoints
│   │   ├── AuthController.ts      # Authentication routes
│   │   └── ProductController.ts   # Product management API
│   ├── core-system.md             # ⚡ Business logic & services
│   │   ├── UserService.ts         # User business logic
│   │   ├── PaymentService.ts      # Payment processing
│   │   └── EmailService.ts        # Email notifications
│   ├── utilities.md               # 🔧 Helper functions & utils
│   │   ├── validators.ts          # Input validation
│   │   ├── formatters.ts          # Data formatting
│   │   └── constants.ts           # Application constants
│   ├── database.md                # 🗄️ Data models & schemas
│   │   ├── User.model.ts          # User entity
│   │   ├── Product.model.ts       # Product entity
│   │   └── migrations/            # Database migrations
│   └── configuration.md           # ⚙️ Config files & settings
├── modules/                        # 📄 Individual module docs
│   ├── user-service.md            # Detailed UserService docs
│   ├── auth-controller.md         # AuthController deep dive
│   └── payment-service.md         # Payment logic documentation
├── diagrams/                       # 📊 Visual documentation
│   ├── project-structure.png      # Project hierarchy
│   ├── project-structure.html     # Interactive version
│   ├── dependency-graph.svg       # Module dependencies
│   ├── api-flow-diagram.png       # API request flows
│   └── database-er-diagram.svg    # Database relationships
└── cross-references.md            # 🔗 Complete navigation index

Cross-Reference Generation

Automatic linking between related modules:

# UserService Documentation

## Related Components
- **Controllers**: [UserController](./modules/user-controller.md) - Handles HTTP requests
- **Models**: [User Model](./modules/user-model.md) - Data structure definition
- **Utils**: [User Validators](./modules/user-validators.md) - Input validation
- **Services**: [EmailService](./modules/email-service.md) - User notifications

## Dependencies
This service depends on:
- [Database Connection](./modules/database.md#connection) - Data persistence
- [Authentication Service](./modules/auth-service.md) - User verification
- [Logging Utils](./modules/logger.md) - Error tracking

## Used By
This service is used by:
- [UserController](./modules/user-controller.md#user-service-integration)
- [AdminController](./modules/admin-controller.md#user-management)
- [ReportService](./modules/report-service.md#user-analytics)

Navigation Index Generation

Complete cross-reference index:

# 🔗 Cross-Reference Index

## API Endpoints → Services
- `GET /users` → [UserService.findAll()](./modules/user-service.md#findall)
- `POST /users` → [UserService.create()](./modules/user-service.md#create)
- `PUT /users/:id` → [UserService.update()](./modules/user-service.md#update)

## Services → Models
- [UserService](./modules/user-service.md) → [User Model](./modules/user-model.md)
- [PaymentService](./modules/payment-service.md) → [Payment Model](./modules/payment-model.md)

## Utilities Used By
- [validateEmail()](./modules/validators.md#validateemail) used in:
  - [UserController](./modules/user-controller.md#registration)
  - [AuthService](./modules/auth-service.md#login)
  - [ProfileService](./modules/profile-service.md#update)

🛡️ Bulletproof Reliability System

100% success guarantee with 8-layer fallback system

ScribeVerse ensures you ALWAYS get documentation, even when everything goes wrong.

8-Layer Fallback System:

1. Primary AI Provider - Your configured main provider
2. Secondary AI Providers - Configured fallback providers
3. VS Code Extensions - Use local VS Code AI if available
4. Static Code Analysis - Parse code without AI
5. Basic AST Generation - Create structure diagrams from code
6. Emergency Documentation - Minimal docs with file listings
7. File System Analysis - Basic project structure
8. Absolute Emergency - Text file with error info and next steps

# Even with no internet, no API keys, no AI - you get docs
scribeverse generate

# Multiple retry configuration
scribeverse generate --retries 5 --retry-delay 2000

# Force emergency mode (for testing)
scribeverse generate --emergency-fallback

Fallback Configuration:

{
  "ai": {
    "providers": [
      { "provider": "openai", "model": "gpt-4o-mini" },
      { "provider": "anthropic", "model": "claude-3-5-sonnet-20241022" },
      { "provider": "vscode-lm" },
      { "provider": "ollama", "model": "llama3.1:8b" }
    ],
    "primaryProvider": "openai",
    "fallbackProviders": ["anthropic", "vscode-lm", "ollama"],
    "enableFallback": true,
    "maxRetries": 3,
    "retryDelay": 1000,
    "emergencyFallback": true
  }
}

Error Recovery Examples:

API Failure Recovery:

⚠️  OpenAI API failed (503 Service Unavailable)
🔄 Falling back to Anthropic Claude...
⚠️  Anthropic API failed (Rate limit exceeded)
🔄 Falling back to VS Code Language Model...
✅ Using VS Code LM API
📚 Generating documentation with VS Code...

Complete AI Failure Recovery:

❌ All AI providers failed
🔄 Switching to static code analysis...
✅ Parsing TypeScript files with AST
✅ Generating basic documentation structure
✅ Creating fallback API reference
📁 Generated 12 documentation files using static analysis

Emergency Mode:

💥 Critical failure in documentation generation
🚨 Creating emergency documentation...
✅ EMERGENCY_README.md created with:
   - Project file listing
   - Basic statistics
   - Error details
   - Recovery instructions
   - Contact information

🌐 Advanced Multi-Language Support

Parse and document multiple programming languages with deep analysis

ScribeVerse provides comprehensive support for multiple programming languages with language-specific parsing and documentation generation.

TypeScript/JavaScript Support

Full Abstract Syntax Tree (AST) parsing with dependency analysis:

# Parse TypeScript with full analysis
scribeverse generate --include "**/*.{ts,tsx}" --language-features typescript

# Include type definitions
scribeverse generate --include-types --include "**/*.d.ts"

Extracted Information:

• ✅ Functions with parameters, return types, JSDoc comments
• ✅ Classes with methods, properties, inheritance chains
• ✅ Interfaces and type definitions
• ✅ Import/export relationships
• ✅ Decorators and metadata
• ✅ Generic type parameters
• ✅ Async/await patterns
• ✅ React components and props
• ✅ Node.js modules and dependencies

Example Output:

## AuthService Class

### Methods

#### `authenticateUser(credentials: LoginCredentials): Promise<AuthResult>`
**Purpose:** Authenticates a user with email and password
**Parameters:**
- `credentials: LoginCredentials` - User login information
  - `email: string` - User's email address
  - `password: string` - User's password
**Returns:** `Promise<AuthResult>` - Authentication result with user data or error
**Throws:** `AuthenticationError` - When credentials are invalid

**Dependencies:**
- [UserService](./user-service.md#findbyemail) - User lookup
- [PasswordUtils](./password-utils.md#verify) - Password verification
- [TokenService](./token-service.md#generate) - JWT generation

Python Support

Comprehensive Python code analysis:

# Parse Python with full analysis
scribeverse generate --include "**/*.py" --language-features python

# Include docstrings and type hints
scribeverse generate --python-docstrings --python-type-hints

Extracted Information:

• ✅ Functions with docstrings, type hints, decorators
• ✅ Classes with methods, properties, inheritance
• ✅ Modules and packages structure
• ✅ Import statements and dependencies
• ✅ Exception handling patterns
• ✅ Async/await functions
• ✅ Context managers
• ✅ Generator functions
• ✅ Property decorators

Example Output:

## UserService Class

### Methods

#### `create_user(user_data: UserCreateInput) -> UserModel`
```python
def create_user(self, user_data: UserCreateInput) -> UserModel:
    """
    Creates a new user account with validation.

    Args:
        user_data (UserCreateInput): User registration data
            - email (str): Valid email address
            - password (str): Password (min 8 characters)
            - name (str): Full name

    Returns:
        UserModel: Created user instance with generated ID

    Raises:
        ValidationError: When user data is invalid
        DuplicateEmailError: When email already exists

    Example:
        >>> service = UserService()
        >>> user = service.create_user({
        ...     "email": "john@example.com",
        ...     "password": "secure123",
        ...     "name": "John Doe"
        ... })
    """

#### **SQL Support**
Database schema analysis with relationship mapping:

```bash
# Parse SQL with relationship analysis
scribeverse generate --include "**/*.sql" --sql-relationships

# Include migration files
scribeverse generate --include "**/migrations/*.sql"

Extracted Information:

• ✅ Table definitions with columns and constraints
• ✅ Foreign key relationships
• ✅ Indexes and performance optimizations
• ✅ Views and stored procedures
• ✅ Triggers and database functions
• ✅ Migration scripts and version history
• ✅ Data types and constraints
• ✅ Composite keys and unique constraints

Example Output:

## Database Schema: E-commerce System

### Tables

#### `users` table
```sql
CREATE TABLE users (
    id SERIAL PRIMARY KEY,
    email VARCHAR(255) UNIQUE NOT NULL,
    password_hash VARCHAR(255) NOT NULL,
    name VARCHAR(100) NOT NULL,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Relationships:

• One-to-Many with orders (users.id → orders.user_id)
• One-to-Many with user_sessions (users.id → user_sessions.user_id)

Indexes:

• Primary key: users_pkey on id
• Unique index: users_email_key on email
• Performance index: idx_users_created_at on created_at

### ⚡ Smart Automation & Workflow Features
**Intelligent processing with advanced automation capabilities**

ScribeVerse includes sophisticated automation features that make documentation generation seamless and intelligent.

#### **Incremental Documentation Updates**
Only processes files that have changed since last generation:

```bash
# Process only changed files
scribeverse generate --incremental

# Watch for file changes during development
scribeverse generate --watch

# Check what files would be processed
scribeverse generate --dry-run --incremental

How It Works:

• ✅ Tracks file modification timestamps
• ✅ Maintains checksums of file contents
• ✅ Stores metadata in .scribeverse/cache/
• ✅ Skips unchanged files automatically
• ✅ Updates only affected documentation sections

Smart Git Integration

Auto-generate meaningful commit messages and manage documentation versions:

# Auto-stage and commit documentation changes
scribeverse smart-commit

# Generate commit message based on changes
scribeverse smart-commit --auto-message

# Stage, commit, and push in one command
scribeverse smart-commit --add-all --push

# Custom commit message with AI enhancement
scribeverse smart-commit --message "Update user authentication docs" --enhance

Generated Commit Messages:

📚 docs: Update authentication flow documentation

- Add comprehensive UserService API documentation
- Update login/logout endpoint specifications
- Add password reset flow diagrams
- Include error handling examples
- Cross-reference security middleware

Generated for: src/auth/UserService.ts, src/auth/AuthController.ts
Affected docs: docs/api/auth.md, docs/diagrams/auth-flow.png

Advanced Token Usage Tracking

Monitor and optimize AI provider costs:

# Track current session usage
scribeverse usage

# Estimate costs before generation
scribeverse usage --estimate --model gpt-4o-mini

# Generate cost report
scribeverse usage --report --timeframe 30days

# Set usage limits
scribeverse generate --max-tokens 50000 --stop-on-limit

Usage Report Example:

📊 ScribeVerse Usage Report (Last 30 Days)

🤖 AI Provider Usage:
┌─────────────┬─────────────┬───────────┬─────────────┐
│ Provider    │ Tokens Used │ Requests  │ Est. Cost   │
├─────────────┼─────────────┼───────────┼─────────────┤
│ OpenAI      │ 45,230      │ 23        │ $0.91       │
│ Anthropic   │ 12,450      │ 8         │ $0.62       │
│ VS Code     │ 8,900       │ 12        │ $0.00       │
│ Total       │ 66,580      │ 43        │ $1.53       │
└─────────────┴─────────────┴───────────┴─────────────┘

📈 Most Active Projects:
1. my-web-app (28,450 tokens, $0.87)
2. api-service (21,330 tokens, $0.45)
3. mobile-app (16,800 tokens, $0.21)

💡 Cost Optimization Suggestions:
- Switch to gpt-4o-mini for 40% cost reduction
- Use VS Code integration for free processing
- Enable incremental updates to reduce token usage

Real-time File Writing

Files are written immediately as they're generated:

# See files being created in real-time
scribeverse generate --verbose

# Write files with progress indication
scribeverse generate --show-progress

Real-time Output:

🚀 ScribeVerse v1.1.8 - Starting documentation generation...

📊 Project Analysis:
✅ Found 45 TypeScript files
✅ Found 12 Python files
✅ Found 8 SQL files
✅ Estimated processing time: 3-5 minutes

🤖 AI Provider: OpenAI GPT-4o-mini
📁 Output Directory: ./docs

🔄 Processing files:
✅ README.md written                           [1/8]
✅ docs/overview.md written                    [2/8]
✅ docs/architecture.md written               [3/8]
🔄 Generating API documentation...
✅ docs/api/user-service.md written           [4/8]
✅ docs/api/auth-controller.md written        [5/8]
🔄 Creating visual diagrams...
✅ docs/diagrams/project-structure.png written [6/8]
✅ docs/diagrams/dependency-graph.svg written  [7/8]
✅ docs/cross-references.md written            [8/8]

🎉 Documentation generation completed successfully!
📁 Generated 8 files in ./docs (3.2MB total)
⏱️  Total time: 2m 34s
💰 Estimated cost: $0.12 (1,847 tokens)

Cross-platform Path Handling

Works seamlessly on Windows, macOS, and Linux:

# Windows paths normalized automatically
scribeverse generate --source "C:\Projects\MyApp\src" --output "C:\Projects\MyApp\docs"

# Unix paths work on all platforms
scribeverse generate --source "./src" --output "./docs"

# Mixed path formats handled correctly
scribeverse generate --include "src/**/*.ts" --exclude "node_modules/**"

Path Normalization Features:

• ✅ Converts backslashes to forward slashes internally
• ✅ Handles Windows drive letters correctly
• ✅ Resolves relative paths consistently
• ✅ Supports long file paths on Windows
• ✅ Unicode filename support
• ✅ Case-sensitive/insensitive file system handling

🎯 Usage Examples

Basic Documentation Generation

# Simple generation
scribeverse generate

# With progress feedback
scribeverse generate --verbose

# Custom output location
scribeverse generate -o ./project-docs

Advanced Configuration

{
  "sourceDir": "./src",
  "outputDir": "./docs",
  "ai": {
    "provider": "openai",
    "model": "gpt-4o-mini",
    "maxTokens": 4000
  },
  "include": ["**/*.{ts,js,py,sql}"],
  "exclude": ["node_modules/**", "dist/**"],
  "diagrams": {
    "enabled": true,
    "format": "png",
    "interactive": true
  }
}

Multi-Provider Setup

{
  "ai": {
    "providers": [
      { "provider": "openai", "model": "gpt-4o-mini" },
      { "provider": "anthropic", "model": "claude-3-5-sonnet-20241022" }
    ],
    "primaryProvider": "openai",
    "fallbackProviders": ["anthropic"],
    "enableFallback": true
  }
}

CI/CD Integration

name: Generate Documentation
on: [push]
jobs:
  docs:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'
      - name: Install ScribeVerse
        run: npm install -g scribeverse
      - name: Generate Documentation
        run: scribeverse generate --no-git
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
      - name: Deploy to GitHub Pages
        uses: peaceiris/actions-gh-pages@v3
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          publish_dir: ./docs

🔧 Advanced Features

Model Validation & Cost Estimation

# Validate AI model
scribeverse validate --model gpt-4o-mini --provider openai

# Estimate costs
scribeverse usage --estimate --tokens 10000 --model claude-3-5-sonnet-20241022

Custom Documentation Folders

# Custom docs folder name
scribeverse generate --docs-folder technical-documentation

# Modular documentation with cross-linking
scribeverse generate --modular --cross-reference

Smart Git Integration

# Auto-generate commit messages
scribeverse smart-commit

# Stage and commit documentation
scribeverse smart-commit --add-all --push

# Git-aware generation
scribeverse generate --git-stage --commit-message "📚 Update documentation"

🤝 Contributing

We welcome contributions! See our Contributing Guide for:

• Development setup instructions
• Code style guidelines
• Testing procedures
• Feature request process

Quick Development Setup

git clone https://github.com/jatin2507/scribeverse.git
cd scribeverse
npm install
npm run dev
npm test

📖 Documentation

• 📚 Full Documentation - Complete guides and API reference
• 🔧 Provider Setup - AI provider configuration
• 💡 Examples - Usage patterns and integration
• 🚀 Smart Features - Advanced automation features
• 📋 API Reference - Programmatic usage guide

💡 Use Cases

• 📖 API Documentation - Auto-generate comprehensive API references
• 🏗️ Architecture Docs - Visual system architecture and dependencies
• 👥 Team Onboarding - Create developer guides and code walkthroughs
• 📋 Compliance - Maintain up-to-date technical documentation
• 🔄 CI/CD Integration - Automated documentation in deployment pipelines
• 📊 Code Reviews - Generate documentation for code review processes

🆘 Support

• 🐛 Issues - Report bugs
• 💬 Discussions - Ask questions
• 📧 Email - developwithkrishn@gmail.com

📄 License

MIT License - see LICENSE file for details.