 ▐▛███▜▌   Claude Code v2.1.104
▝▜█████▛▘  Sonnet 4.6 · API Usage Billing
  ▘▘ ▝▝    ~/Projects/mirage

✻ Conversation compacted (ctrl+o for history)

  ⎿  Read ../llmgrep/CLAUDE.md (317 lines)
  ⎿  Read ../magellan/CLAUDE.md (267 lines)
  ⎿  Read src/cli/cmds/mod.rs (29 lines)
  ⎿  Referenced file src/cli/mod.rs
  ⎿  Read src/main.rs (110 lines)
  ⎿  Skills restored (superpowers:brainstorming, 
     claude-code-setup:claude-automation-recommender)

● I'll explore the current 4D coordinate implementation to understand what
  capabilities we now have.

  Read 2 files (ctrl+o to expand)

● Bash(mirage --db .magellan/mirage.db --output json cfg --function
      "calculate_dominator_depth" 2>/dev/null | head -50)
  ⎿  {
       "schema_version": "1.0.1",
       "execution_id": "69dce927-1146757",
     … +11 lines (ctrl+o to expand)

● Now I understand the 4D coordinate system's capabilities. Let me clarify the
  direction for innovative applications.

● User answered Claude's questions:
  ⎿  · What type of innovations are you most interested in building with the 4D 
     spatial coordinates? → All of the above

● Perfect! Let me propose three different approaches for building a
  comprehensive 4D spatial analysis suite.

● Write(docs/4d-coordinate-innovation-approaches.md)
  ⎿  Wrote 211 lines to docs/4d-coordinate-innovation-approaches.md
       1 # 4D Coordinate Innovation Approaches
       2 
       3 **Context:** Mirage now has a 4D spatial coordinate system that 
         can reason about code structure geometrically:
       4 - **coord_x**: Dominator depth (control flow hierarchy)
       5 - **coord_y**: Loop nesting depth (iteration complexity)
       6 - **coord_z**: Branch distance (conditional complexity)
       7 
       8 This enables **spatial reasoning** about code that wasn't possib
         le before - we can now treat code complexity as a multi-dimensio
         nal landscape.
       9 
      10 ---
     … +201 lines (ctrl+o to expand)

● I've outlined three approaches for leveraging the 4D coordinate system, with
  Approach 1 (Modular CLI Commands) as my recommendation. Here's the summary:

  Three Approaches

  1. Modular CLI Commands (Recommended) - Focus, composable tools like mirage 
  heatmap, mirage terrain, mirage path-profile, mirage spatial-impact, mirage 
  refactor-hints, mirage generate-tests
  2. Interactive Terminal UI - Single mirage explorer command with a rich TUI
  for navigating 4D space interactively
  3. Multi-Modal Platform - CLI commands + optional web server with 3D
  visualization

  My Recommendation: Approach 1

  Why:
  - ✅ Lowest risk, highest value per feature
  - ✅ Can build incrementally (one command at a time)
  - ✅ Perfect for CI/CD automation
  - ✅ Follows existing Mirage patterns
  - ✅ Can add TUI/web later if needed

  Proposed implementation order:
  1. Phase 1 (MVP): heatmap, terrain, path-profile - Core visualization
  2. Phase 2: spatial-impact, refactor-hints - Intelligent insights
  3. Phase 3: generate-tests - Developer productivity

  I've saved the detailed comparison to
  /home/feanor/Projects/mirage/docs/4d-coordinate-innovation-approaches.md.

  Which approach would you like me to design in detail?

✻ Churned for 2m 49s