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fusion-datamodel

Compare data model designs and pick the best fit; use when modeling new data or refactoring schemas.

personAuthor: jakexiaohubgithub

Fusion Data Model

Overview

Use an F-thread: three workers propose different data models. The queen evaluates tradeoffs.

Inputs

  • Entities, relationships, and access patterns

Workflow

  1. Verify git and mprocs.
  2. Create session variables and worktrees.
  3. Write tasks.json, worker prompts, and queen prompt.
  4. Launch mprocs.

Worktree Commands

git worktree add "{WORKTREE_ROOT}/impl-a" -b fusion/{SESSION_ID}/impl-a
git worktree add "{WORKTREE_ROOT}/impl-b" -b fusion/{SESSION_ID}/impl-b
git worktree add "{WORKTREE_ROOT}/impl-c" -b fusion/{SESSION_ID}/impl-c

Worker Prompt Outline

  • Worker A: normalized relational model
  • Worker B: denormalized or document model
  • Worker C: hybrid or event-based model

Queen Prompt Outline

  • Compare performance, migration cost, and correctness

mprocs Launch

mprocs --config .hive/mprocs.yaml

Output

  • Selected model with rationale and migration notes