Version: 1.1.0 | Last Updated: 2025-06-12

Documentation Organization Improvements

Summary of Changes

We have made several improvements to better organize the documentation for the XLR8 E2E Azure AI Solutions project:

  1. Added Tags to All Documentation Files
    • Applied consistent tagging with key concepts across all files
    • Used format like tags: [ai-hub, architecture, design, azure, governance]
    • Makes filtering and searching documentation easier
  2. Added Table of Contents to Long Files
    • Implemented Jekyll’s automatic table of contents feature
    • Added to all overview and step files with extensive content
    • Used the format: 
      ## Table of Contents
{:.no_toc}
     
* TOC
{:toc}
  3. Organized Reference Materials
    • Created a dedicated /references/ section
    • Consolidated references by challenge type
    • Implemented proper permalinks for clean URLs
    • Added cross-linking between challenges and reference materials
  4. Updated Navigation Structure
    • Fixed challenge links to point to new reference section
    • Ensured consistent navigation patterns across all challenges
  5. Added Version Information and Last Updated Dates
    • Added version numbers to all documentation files
    • Added last_updated dates to track when content was modified
    • Created a versioning guide to explain the versioning system
  6. Created CHANGELOG Files
    • Added a main CHANGELOG.md at the repository root
    • Created challenge-specific CHANGELOG files in each folder
    • Documented changes with semantic versioning
  7. Added Version Display System
    • Created version-info.html include for displaying version information
    • Added version display to default layout template
    • Added custom styling for version information
  8. Enhanced Documentation Standards
    • Updated documentation-standards.md with comprehensive guidelines
    • Added versioning guidelines and processes
    • Added formatting and accessibility standards
  9. Added Versioning Guide
    • Created versioning-guide.md to explain versioning system
    • Documented how to find and interpret version information
    • Explained semantic versioning principles
    • Made references accessible from main navigation and individual challenges
  10. Improved Config File
    • Enhanced exclusion patterns for better Jekyll processing
    • Fixed duplicate configuration entries
    • Added proper support for references section

File Organization

  • Main challenge pages in /docs/
  • Challenge steps in numbered folders (/docs/01-aiready/, /docs/02-agent/, /docs/03-aihub/)
  • Consolidated references in /docs/references/
  • Azure best practices in /docs/05-azure-best-practices/

Next Steps

  1. Test site locally with bundle exec jekyll serve
  2. Confirm navigation and links work properly
  3. Verify table of contents is generated correctly
  4. Check that tags appear in the documentation UI

Recommendations for Future Maintenance

Short-term Tasks

  1. Complete Version Numbers: Continue adding version information to remaining documentation files
  2. Local Testing: Perform local Jekyll testing to verify all changes work correctly
  3. Add Mermaid Diagrams: Where appropriate, convert text descriptions to visual diagrams

Medium-term Tasks

  1. Print-Friendly Versions: Create print-friendly versions of core challenge documents
  2. Automated Validation: Implement automated checks for documentation standards compliance
  3. Enhanced Search: Configure more advanced search capabilities leveraging the new tag system

Long-term Tasks

  1. Multilingual Support: Consider adding infrastructure for translations of key materials
  2. Dark/Light Mode: Ensure all diagrams and styles support both viewing modes
  3. User Feedback System: Implement a mechanism to collect improvement suggestions

Conclusion

The documentation improvements implemented enhance the overall organization, navigation, and usability of the XLR8 E2E Azure AI Solutions project. By establishing consistent standards and version control practices, we’ve created a foundation for maintaining high-quality documentation as the project evolves.