📚 CocoPilot Documentation

Complete guide to the self-updating AI-driven repository

🔍 Overview

CocoPilot is a revolutionary experiment in autonomous software evolution. This repository demonstrates how AI can continuously improve and enhance itself through GitHub Copilot integration and automated workflows.

🚀 Quick Start

  1. Visit the main CocoPilot page
  2. Explore the interactive features and tutorials
  3. Check out the project timeline
  4. Join our community and contribute improvements

🎯 Getting Started

CocoPilot is designed to be accessible to everyone, from developers to curious users interested in AI-driven development.

For Users

Simply visit https://acbart.github.io/cocopilot/ to experience CocoPilot. The interface is intuitive and includes guided tutorials for all features.

For Developers

# Clone the repository git clone https://github.com/acbart/cocopilot.git cd cocopilot # Install dependencies npm install # Start development server npm run dev # Run tests npm test

✨ Features

CocoPilot includes a comprehensive suite of features designed to showcase AI-driven development capabilities.

🔄

Daily Self-Updates

Automated daily analysis and improvement cycles powered by GitHub Actions and AI.

🤖

AI-Driven Evolution

GitHub Copilot makes intelligent code and design decisions for continuous improvement.

📱

Progressive Web App

Full PWA capabilities with offline support, responsive design, and app-like experience.

🌍

Internationalization

Support for 11 languages with cultural adaptations and RTL language support.

♿

Accessibility First

WCAG 2.1 AA compliance with comprehensive screen reader support and keyboard navigation.

⚡

Performance Optimized

Advanced lazy loading, Core Web Vitals monitoring, and performance analytics.

🏗️ Architecture

CocoPilot follows a modular, progressive enhancement architecture that ensures performance and maintainability.

Core Components

  • Static Frontend: HTML5, CSS3, and vanilla JavaScript
  • AI Integration: GitHub Copilot API and automated workflows
  • Performance Layer: Service workers, caching, and optimization
  • Accessibility Layer: ARIA, semantic HTML, and keyboard navigation

Module System

The codebase is organized into focused modules for maintainability:

js/ ├── ai-education.js # Interactive AI learning system ├── i18n.js # Internationalization support ├── performance-monitor.js # Performance tracking ├── accessibility-enhancer.js # Accessibility improvements └── ... (30+ additional modules)

📋 API Reference

CocoPilot exposes several APIs for interacting with its features programmatically.

Internationalization API

Method Parameters Description
i18n.t(key) key: string Translate a key to the current language
i18n.changeLanguage(lang) lang: string Change the active language
i18n.getCurrentLanguage() - Get the current language code

Performance API

Method Parameters Description
performance.measurePageLoad() - Measure current page load performance
performance.getCoreWebVitals() - Get Core Web Vitals metrics

💻 Development

Developing with CocoPilot is designed to be straightforward with modern tooling and clear guidelines.

Development Setup

# Install dependencies npm install # Start development server npm run dev # Run linting npm run lint # Run tests with coverage npm run test:coverage

Code Style

The project follows strict code quality standards:

  • ESLint for JavaScript linting
  • Prettier for code formatting
  • HTML validation with html-validate
  • Automated accessibility testing

🧪 Testing

CocoPilot includes comprehensive testing across multiple layers to ensure quality and reliability.

Test Suites

🔬

Unit Tests

Jest-based unit tests for individual modules and functions.

🎭

E2E Tests

Playwright end-to-end tests for user interaction flows.

♿

Accessibility Tests

Automated accessibility testing with axe-core.

⚡

Performance Tests

Lighthouse CI for performance and best practice validation.

Running Tests

# Run all tests npm test # Run specific test suites npm run test:unit npm run test:e2e # Run with coverage npm run test:coverage # Run in watch mode npm run test:watch

🚀 Deployment

CocoPilot is automatically deployed using GitHub Pages with continuous integration.

Automated Deployment

Every merge to the main branch triggers:

  • Automated testing and validation
  • Performance benchmarking
  • Accessibility auditing
  • Deployment to GitHub Pages

Manual Deployment

# Build (static site - no build needed) npm run build # Validate before deployment npm run validate npm run lint npm run test # Deploy (via GitHub Pages) git push origin main

🤝 Contributing

CocoPilot welcomes contributions from the community. Whether you're fixing bugs, adding features, or improving documentation, your help is appreciated.

Contribution Process

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Run the test suite
  6. Submit a pull request

For detailed guidelines, see our Contributing Guide.

💬 Support

Need help with CocoPilot? We're here to assist you.

📖

Documentation

Check this documentation and our README for comprehensive guides.

🐛

Issues

Report bugs or request features on our GitHub Issues page.

💬

Discussions

Join community discussions for help and sharing ideas.

🚀

AI-Driven

The repository continuously improves itself to address common issues.

❓ Frequently Asked Questions

How does CocoPilot self-update?

CocoPilot uses GitHub Actions to create daily issues that are assigned to GitHub Copilot. Copilot analyzes the repository, proposes improvements, and submits pull requests that are reviewed and merged.

Can I contribute to CocoPilot?

Absolutely! We welcome both AI and human contributions. Check out our Contributing Guidelines to learn how you can help improve the project.

Is CocoPilot safe to use as a template?

Yes! CocoPilot is open source under the MIT License. You can fork it, modify it, and use it as a starting point for your own projects. Just remember to review any AI-generated changes carefully.

How often does CocoPilot update?

The automated workflow runs daily at 09:15 UTC. However, not every run results in changes—Copilot only proposes updates when it identifies meaningful improvements.

What technologies power CocoPilot?

CocoPilot is built with modern web technologies including HTML5, CSS3, vanilla JavaScript (ES6+), and progressive web app (PWA) features. The AI integration uses GitHub Copilot and GitHub Actions.

Does CocoPilot work offline?

Yes! CocoPilot includes a service worker that enables offline functionality. Once you've visited the site, it will cache essential resources for offline access.

How can I track what changes are made?

All changes are tracked through GitHub issues, pull requests, and commits. Check the Pull Requests tab and CHANGELOG for detailed history.

🗺️ Roadmap

CocoPilot continues to evolve with AI-driven improvements. Check our Tomorrow's Vision document for upcoming features and improvements.

Current Focus Areas

  • Enhanced AI-driven code suggestions
  • Improved internationalization coverage
  • Advanced performance optimizations
  • Community collaboration features
  • Extended accessibility support