"We don't automate developers — we multiply them."

A comprehensive methodology for Human-Governed AI Software Development that combines human expertise with AI capabilities to enhance productivity, quality, and innovation throughout the software development lifecycle.

HUG AI (Human-Governed AI) is a structured approach to software development that leverages AI technologies to augment human capabilities while maintaining human oversight, accountability, and decision-making authority.

• Human-AI Collaboration: Combining human creativity and domain expertise with AI capabilities
• Quality-Driven Development: Prioritizing code quality, security, and maintainability
• Agile and Adaptive: Flexible processes that adapt to different project sizes and contexts
• Context-Aware: Ensuring AI tools have access to necessary context for optimal assistance
• Continuous Learning: Systems that improve over time through human feedback

• Python 3.x
• Git

1. Clone the repository

   git clone https://github.com/aislackdevs/hug-ai.git
   cd hug-ai

2. Start development server

   ./sdc-serve.sh

   This will set up the Python environment, install dependencies, and start the MkDocs server at http://127.0.0.1:8000/

3. Build for production

   ./sdc-build.sh

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Serve locally
mkdocs serve

# Build site
mkdocs build

• HUG AI Overview - Introduction to the methodology
• Methodology - Core principles, manifesto, and SDLC guidance
• Process - Detailed guides for each development phase
• Agents - Specialized AI agents for development tasks
• Practices - Best practices for code quality, security, and scalability
• Tools - Overview of recommended tools and utilities

The methodology includes specialized AI agents for different aspects of development:

• Architecture Agent - System design and architectural decisions
• Implementation Agent - Code generation and development
• Test Agent - Test creation and quality assurance
• Security Agent - Security analysis and compliance
• Documentation Writer - Technical documentation generation
• Performance Agent - Performance optimization and monitoring
• DevOps Agent - Infrastructure and deployment automation

• Documentation: MkDocs with Material theme
• Content: Markdown with extensions for enhanced formatting
• Deployment: Static site generation
• Development: Python-based toolchain

• Software development teams integrating AI into their workflow
• Project managers overseeing AI-augmented development projects
• Organizations establishing standards for AI-assisted development
• Individual developers looking to enhance productivity with AI tools

This is a living methodology that evolves with AI technologies and best practices. We welcome:

• Feedback on existing processes and documentation
• New agent configurations and patterns
• Case studies and real-world implementations
• Improvements to the methodology framework

This project is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Created by SlackDevs, a network of developers and engineers passionate about building sustainable, transparent, and scalable AI-powered software systems. This methodology is the result of over two years of practical work with AI-assisted coding and real business environments.

• Repository: https://github.com/aislackdevs/hug-ai
• Website: https://hugai.dev
• LinkedIn: https://linkedin.com/company/aislackdevs
• Twitter/X: https://x.com/aislackdevs

Building better software through human-governed AI collaboration.