Developed comprehensive documentation and integration resources for the Erode AI-powered architecture drift detection tool within the likec4/likec4 repository. Focused on enabling developers to quickly adopt Erode by designing a dedicated tooling page, experimental feature callouts, and step-by-step quick-start guides for GitHub Actions, CLI, and Claude Code skill integrations. Leveraged Markdown for clear, accessible documentation and emphasized AI integration and architecture design principles throughout. The work established a documentation-first approach, streamlining onboarding and supporting future tooling updates. No bugs were addressed during this period, with efforts concentrated on delivering a robust foundation for observability and integration across the LikeC4 ecosystem.