Establishes the global AI development config repo from scratch: - Chunk 1: repo skeleton, install.sh, statusline, deploy manifest - Chunk 2: core instructions (coding/git/testing), CLAUDE.md rewrite (always-on + content index two-tier model), docs restructure, 6 ADRs, ROADMAP.md, .gitkeep placeholders - Bootstrap skills in .claude/skills/ (to be catalogued and migrated to .agents/skills/ in Chunk 3) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Deep Modules
From "A Philosophy of Software Design":
Deep module = small interface + lots of implementation
┌─────────────────────┐
│ Small Interface │ ← Few methods, simple params
├─────────────────────┤
│ │
│ │
│ Deep Implementation│ ← Complex logic hidden
│ │
│ │
└─────────────────────┘
Shallow module = large interface + little implementation (avoid)
┌─────────────────────────────────┐
│ Large Interface │ ← Many methods, complex params
├─────────────────────────────────┤
│ Thin Implementation │ ← Just passes through
└─────────────────────────────────┘
When designing interfaces, ask:
- Can I reduce the number of methods?
- Can I simplify the parameters?
- Can I hide more complexity inside?