I'm actively seeking contributors to help evolve PAellaDOC from concept to industry standard!

Whether you're a:

• 🧠 Product manager with methodology insights
• 💻 Developer wanting to enhance the framework architecture
• 📝 Technical writer with documentation expertise
• 🎨 UX designer who can improve template systems
• 🛠️ DevOps engineer to streamline implementation workflows

How to join:

1. Join our X Community: PAellaDOC Community
2. Star and fork the repository
3. Check the open issues or propose new improvements
4. Submit pull requests with your contributions

Current priorities:

• Template system expansion
• Rules architecture refinement
• New command implementations
• Real-world case studies and examples

No contribution is too small - from fixing typos to implementing major features, all help is appreciated and acknowledged!

As we build this together, we're creating the definitive standard for AI-assisted development documentation.

Just as a master chef knows that the secret to a perfect paella lies in the quality of its ingredients and the order of preparation, PAELLADOC builds on a fundamental truth: 90% of success in AI programming depends on context.

• AI is powerful, but needs direction: Like an expert chef, it needs to know exactly what we want to achieve
• Traditional documentation is scattered: Like ingredients scattered in the kitchen
• We waste time repeating context: Like explaining the recipe over and over
• Without proper context, we get generic answers: Like a flavorless paella

Following the MECE principle (Mutually Exclusive, Collectively Exhaustive), we organize documentation with a modular architecture:

paelladoc/
├── .cursor/
│   └── rules/
│       ├── orchestrator/        # Central orchestrator definition
│       │   └── paelladoc.mdc    # Defines all commands and delegates to modules
│       ├── commands/            # Command definitions by category
│       │   ├── core/            # Core system commands (help, verification)
│       │   ├── memory/          # Project memory interaction commands
│       │   ├── code/            # Code analysis and generation commands
│       │   ├── styles/          # Coding style and Git workflow commands
│       │   ├── product/         # Product/Project management commands
│       │   └── templates/       # Documentation template management commands
│       ├── modules/             # Core functional implementations
│       │   ├── code_analysis/   # Logic for code analysis and doc generation
│       │   ├── memory_management/ # Logic for handling project memory
│       │   └── conversation/    # Logic for managing conversation flows
│       ├── scripts/             # Utility and executable scripts
│       ├── config/              # System-wide configuration files
│       └── docs/                # System documentation and guides
├── code_context/                # Processed repository content
│   ├── extracted/               # Repositories extracted as text
│   └── generated/               # Generated documentation
├── docs/                        # Generated documentation
└── .memory.json                 # Project memory store

Just type one of our comprehensive commands:

PAELLA [project_name]           # Initialize new documentation
CONTINUE [project_name]         # Continue with existing documentation
GENERATE_CONTEXT repo_path=path # Extract repository context
GENERATE_DOC [options]          # Generate documentation from context
GENERATE_CODE [project_name]    # Generate code from documentation
STORY operation="create" [args] # Manage user stories
SPRINT operation="plan" [args]  # Plan and manage sprints
MEETING operation="create" [args] # Record meeting notes

Like a well-trained chef, PAELLADOC will:

• Start by establishing clear communication in your preferred language
• Guide you through project documentation with relevant questions
• Research market trends and technical standards
• Generate comprehensive documentation
• Allow management of the entire product lifecycle

1. MECE Architecture

   • Orchestrator: Central command hub with well-defined interfaces
   • Commands: Categorized by function (core, memory, code, styles, product, templates)
   • Modules: Implementation logic separated from command interfaces
   • Centralized Configuration: Clearly located configuration files
   • Comprehensive Documentation: Self-documenting system structure

2. MECE System for Perfect Context

   • Mutually Exclusive: Each piece of context has its place
   • Collectively Exhaustive: Nothing important is left out
   • Adaptable: Context level adjusts to the need

3. End-to-End Product Development

   • Documentation creation and maintenance
   • Product management with user stories and sprints
   • Meeting and decision tracking
   • Code generation from documentation
   • Repository creation and management

4. Comprehensive Git Workflows

   • GitHub Flow for simple projects
   • GitFlow for structured development
   • Trunk-Based Development for continuous delivery
   • Custom workflow options

5. Programming Style Guidelines

   • Frontend development with React
   • Backend development with Node.js
   • Chrome extension development
   • Test-Driven Development methodology

6. Product Management Suite

   • User story management
   • Sprint planning and reporting
   • Meeting notes with action items
   • Project status reporting
   • Task management and tracking

7. Code Generation

   • Generate code from documentation
   • Create repositories for generated code
   • Multiple language and framework support
   • Test generation and quality assurance

8. Enhanced Conversation Workflows

   • Structured conversation flows
   • Configurable interaction patterns
   • Intelligent context gathering
   • Dynamic question sequences

9. Repository Analysis and Documentation

   • Extract repository context with GENERATE_CONTEXT
   • Generate comprehensive documentation with GENERATE_DOC
   • Dynamic template-based documentation menu
   • Complete multilingual support (Spanish/English)
   • Direct GitHub repository URL support
   • Legacy codebase documentation recovery

1. Clone or Fork: Clone the repository or fork it to your GitHub account
2. Open with Cursor: Open the project with Cursor 0.47 or higher
3. Start Cooking: Simply type PAELLA and follow the interactive conversation

This project is licensed under the MIT License - see the LICENSE file for details.

PAELLADOC is a documentation system that uses AI to analyze code repositories and generate comprehensive technical documentation.

• Python 3.8 or higher
• pip (Python package manager)
• Access to terminal/command line
• Cursor 0.47+ (AI-powered IDE)

1. Clone this repository:

   git clone https://github.com/yourusername/paelladoc.git
   cd paelladoc

2. Create a virtual environment:

   # On macOS/Linux
   python3 -m venv .venv
   source .venv/bin/activate
   
   # On Windows
   python -m venv .venv
   .venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

The documentation generation process has two main steps:

1. Extract repository context:

   GENERATE_CONTEXT repo_path=/path/to/repository
   

2. Generate documentation:

   GENERATE_DOC repo_path=/path/to/repository language=en
   

• repo_path: Path to the repository you want to process (required)
• output: Path where to save the extracted content (optional)
• line_numbers: Whether to include line numbers (optional)
• style: Output format - plain or xml (optional)
• ignore: Additional patterns to ignore (optional)

• repo_path: Path or GitHub URL to the repository you want to document (required)
• language: Language for documentation output - "en" for English or "es" for Spanish (required)
• output: Path where to save the documentation (optional, default: docs/generated)
• context_output_file: Path for the extracted context file (optional)
• clone_dir: Directory for cloning remote repositories (optional)
• template: Documentation template to use (optional)
• force_context_regeneration: Force regenerate context even if exists (optional)
• force_clone: Force re-cloning of remote repository (optional)

# Extract repository context
GENERATE_CONTEXT repo_path=~/projects/my-api

# Generate documentation in English from local repository
GENERATE_DOC repo_path=~/projects/my-api language=en

# Generate documentation in Spanish from GitHub URL
GENERATE_DOC repo_path=https://github.com/username/repo language=es

# Generate documentation with custom output path
GENERATE_DOC repo_path=~/projects/my-api language=en output=~/custom/docs

When you run GENERATE_DOC, the system will:

1. Confirm your preferred language (English or Spanish)
2. Clone and analyze the repository (if URL provided)
3. Present a dynamic menu of documentation options based on available templates
4. Generate documentation according to your selections
5. Save files to the output directory with proper naming

This process makes it easy to generate exactly the documentation you need from any repository, local or remote.

PAELLADOC uses a multi-step process to generate documentation:

1. Content Extraction: Extracts all source code from the repository
2. Context Generation: Converts code into an optimized text format
3. Code Analysis: Analyzes architecture patterns, APIs, and database schemas
4. Interactive Documentation: Creates comprehensive documentation with user input

paelladoc/
├── .cursor/rules/              # MECE-structured system rules
│   ├── orchestrator/           # Central command definitions
│   ├── commands/               # Categorized command implementations 
│   ├── modules/                # Core functional modules
│   ├── config/                 # System configuration
│   ├── scripts/                # Utility scripts
│   └── docs/                   # System documentation
├── code_context/               # Processed repository content
│   ├── extracted/              # Repositories extracted as text
│   └── generated/              # Generated documentation
├── docs/                       # Project documentation
└── README.md                   # This file

For more detailed information about the system architecture, see .cursor/rules/docs/README.md.

• Architectural Change Detection: Identifies changes that impact system architecture
• Decision Lifecycle Management: Tracks status of decisions (Proposed → Accepted → Implemented)
• Cross-Referencing: Links decisions to affected components and requirements
• Status Updates: Automatically marks decisions as superseded or deprecated when appropriate
• Revision History: Maintains complete historical context of architectural decisions

• Intelligent Templates: Context-aware templates with standardized sections
• Proper Timestamping: Automatic date management with consistent formatting
• Frontmatter Management: YAML frontmatter with metadata for all documents
• Variable Substitution: Template variables automatically populated from context
• Document Validation: Structure and content validation against standards

• Memory System: Continuous project memory to maintain context between sessions
• Template Flexibility: Multiple template categories for different documentation needs
• Multilingual Support: Documentation in multiple languages from a single source
• Cursor Integration: Seamless operation within Cursor IDE

# Generate code from documentation
GENERATE_CODE projectname

# Create a new repository for generated code
CREATE_REPO repo_name="my-project" repo_type="github"

• Documentation Completeness Tracking: Automatically tracks completion percentage
• Code Generation: Creates full applications from completed documentation
• Development Rules Extraction: Identifies patterns, rules, and guidelines from docs
• Seamless Transition: Bridges the gap between documentation and development
• Context Preservation: Maintains all project context for AI-assisted development

# Create a new user story
STORY operation="create" title="User registration" description="As a user, I want to register..."

# Plan a sprint
SPRINT operation="plan" name="Sprint 1" start_date="2024-07-15" end_date="2024-07-29"

# Record meeting notes
MEETING operation="create" title="Sprint planning" date="2024-07-14"

# Generate a sprint report
REPORT report_type="sprint" sprint_id="SP-1"

• User Story Management: Create, update, and track user stories
• Sprint Planning: Plan sprints with capacity and velocity tracking
• Meeting Management: Record and distribute meeting notes with action items
• Task Tracking: Manage tasks with assignees, due dates, and dependencies
• Progress Reporting: Generate comprehensive status reports
• Visualization: Create burndown charts and other visual aids

PAELLADOC's market research validation system is a standout feature for product professionals:

1. Initial Research: Automatically gathers data on:

   • Market size and growth trends
   • Direct competitors with detailed profiles
   • Indirect competitors and alternative solutions
   • User demographics and segmentation
   • Monetization models and pricing strategies

2. Deep Validation:

   • Minimum 3 sources per claim
   • Statistical validation against reputable sources
   • Multiple verification levels (primary, secondary, tertiary)
   • Hallucination prevention with cross-validation
   • Academic-style citations and references

For architects and technical leads, PAELLADOC provides a robust ADR system:

• Dynamic: Records evolve as the project progresses
• Comprehensive: Captures all aspects of architectural decisions
• Living: Automatically updates as architecture changes
• Structured: Standardized format for all decisions
• Historical: Maintains complete decision history with timestamps

For product owners and managers, PAELLADOC offers comprehensive tools:

• User Story Management: Create and track user stories in standard format
• Sprint Planning: Organize sprints with capacity planning and tracking
• Task Management: Break down stories into tasks with assignments
• Meeting Documentation: Record all meetings with action items
• Project Tracking: Monitor project status with detailed reports
• Team Collaboration: Facilitate team communication and coordination
• Visual Progress Tracking: Generate charts and visualizations

The typical journey of a PAELLADOC user follows these stages:

• First Contact: User discovers PAELLADOC through recommendations, GitHub, or Cursor community
• Installation: Clones the repository and opens it with Cursor IDE
• Exploration: Reviews documentation and available features
• Setup: Sets up project-specific configurations if needed

• Project Initialization: Uses PAELLA [project_name] to begin a new documentation project
• Template Selection: Chooses appropriate templates based on project needs
• Content Creation: Interactively answers questions about the project
• Customization: Adjusts generated content to match specific project requirements
• Research Integration: Reviews and approves auto-researched content

• User Story Creation: Creates user stories with STORY operation="create"
• Sprint Planning: Plans sprints with SPRINT operation="plan"
• Task Assignment: Assigns tasks to team members
• Meeting Documentation: Records meetings and action items
• Progress Tracking: Monitors project progress with reports

• Code Generation: Uses GENERATE_CODE to create application code
• Repository Setup: Creates a code repository with CREATE_REPO
• Integration: Links documentation changes to code updates
• Coding: Develops using the generated code foundation
• Testing & Validation: Tests and validates against documentation requirements

• Documentation Updates: Keeps documentation updated with project changes
• Memory Management: Records achievements, issues, and decisions
• Project Evolution: Adjusts course based on feedback and new requirements
• Knowledge Sharing: Uses documentation for onboarding and knowledge transfer
• Process Refinement: Improves documentation and development processes

This journey demonstrates how PAELLADOC serves as a complete solution for the entire software development lifecycle, from initial concept to ongoing maintenance and improvement.

For detailed examples of how PAELLADOC can transform projects:

• HealthTrack App case study: Illustrates how PAELLADOC automates the entire software development lifecycle for a mobile health application.
• SEO PowerTools Chrome Extension case study: Shows how PAELLADOC streamlines the development of a browser extension for SEO professionals.

1. Clone Repository: git clone https://github.com/yourusername/paelladoc.git
2. Open with Cursor: Ensure you're using Cursor 0.47 or higher
3. Initialize Project: Type PAELLA your-project-name
4. Select Template: Choose from Research, Planning, Technical, or Management templates
5. Generate Documents: PAELLADOC will create the initial structure based on your template
6. Document Interactively: Use CONTINUE your-project-name to work through each document
7. Manage Product: Use product management commands to manage the development process
8. Generate Code: When documentation is complete, use GENERATE_CODE to create code
9. Create Repository: Use CREATE_REPO to set up a repository for your generated code
10. Start Development: Begin development with your generated code foundation

• Cursor IDE 0.47+
• Node.js 14+ (for scripts)
• Internet connection (for research capabilities)

This project is licensed under the MIT License - see the LICENSE file for details.

PAELLADOC is built for professional product and development teams who need verified, consistent, and comprehensive documentation that evolves with their projects. With the addition of product management and code generation features, it now offers a complete end-to-end solution for the entire software development lifecycle.