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Comment: 21st May agenda

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Historical note: the minutes for the previous project, the CVII Tech Stack, can be found here: CVII Technology Stack meeting notes


21st May 2025

Agenda:

  • Spring AMM: feedback and any conversations that people had that feeds into the work
  • Planning discussion with a view to working towards concrete task backlog/roadmap
    • Short term: Remaining work on KL/IL, in progress work on feeders etc.
    • Longer term: Example build-out, AI, Doc etc. Also topics from the workshop

Input:

Expand
titleList of AMM Workshop topics
  • Summer dev strategy
    • What do people want to work on and why? What is achievable and what is a stretch?
  • Touchpoints – suggests longer chains
    • What, why: smart use of resources, maintenance, showing integration versus stacks
  • Examples in general
    • Which/why/how?
  • Backlog for strengthening 'core'
    • Is the idea of a 'core' still useful or is it simply reference compose combinations? If former when is something 'core'?
  • Supporting VSS-next investigations
    • Requirements?
  • AI connectors
    • LLM data store abstractions, e.g. MCP
    • Semantic Reasoning abstractions, e.g. Hybrid queries
  • Enhancements to documentation to ease development
    • Look and feel. Ease of navigation
      • The UX template we are using is deprecated. Move to Hextra?
    •  Integration
      • Feeder connection guide
      • Server connection guide
  • KL, IL relationship (connections?) to VISS/VISSR
  • Goal: In the next 1-2 weeks determine work backlog for the next 6 month cycle. Ideally leading to a task list.
  • Short term:
    • KL/IL
      • Update KL/IL existing tasks in Kanban.
      • Identify and record (in Kanban?) new short term tasks
        • Complete/cleanup tasks, e.g. doc gaps and building KL/IL using reference docker compose
        • Short term improvements, e.g. remaining review comments. The directory naming etc.
    • Sync discussion with IoTDB community
  • Longer term (need decisions about what is short and long, i.e. priorities)
    • Growing examples
      • What are the major gaps to adoption?
    • Ease of devlelopment improvements to Doc so people can understand, use and integrate to the Playground
    • AI adapters
    • Data modelling
    • Sync
    • VISS

Minutes:

14th May 2025

No meeting due to Spring AMM in Berlin

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