The HUG AI methodology, framework, or playbook (call it what you will!), is a structured, agent-driven methodology that integrates specialized AI agents into each phase of the software development lifecycle
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fix: Update links in home page and mkdocs configuration for accuracy and consistency
152adedView on GitHubfeat: Add comprehensive documentation for AI Development Lifecycle phases, including Planning, Design, Implementation, Testing, Deployment, Maintenance, and Governance; update mkdocs configuration for new structure.
e09493aView on GitHubfeat: Add comprehensive documentation for HUG AI methodology, including AI design patterns, development lifecycle, best practices, and case studies; update mkdocs configuration for new structure and content.
cc223f6View on GitHubBIG REORGANIZATION OF CONTENT: Remove outdated documentation and templates for HUG AI development; update home page link to methodology overview; change Google Analytics property ID; remove examples section from agents navigation.
b2491d3View on GitHubfix: Update documentation links to reflect new directory structure
7a83433View on GitHubfix: Update website link and description in documentation for accuracy
b4c9f58View on GitHubAdd comprehensive documentation for HUG AI methodology, risks, roadmap, and SDLC
b5e1d04View on GitHubfix: Update links to Methodology Framework in documentation for consistency
0915aedView on GitHubchore: Add markdown code blocks to agent documentation files for improved formatting
6ff71a2View on GitHubRemove Roadmap section from navigation in mkdocs configuration
9d256feView on GitHubfeat: Add initial blog post on the HUG AI development journey
97b21bdView on GitHubAdd comprehensive style guides for JavaScript, Python, Java, Go, React, and Django to enhance code consistency and quality in HUG AI development
856c211View on GitHubfeat: Add authors and meta configuration for blog documentation
8f69d4bView on GitHubAdd role-based AI development guides and scalable strategies documentation
373518eView on GitHub