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Refactor all spec files to focus on WHAT components do rather than HOW
they're implemented, making them optimized for AI comprehension and
maintenance.
Changes:
- Remove detailed implementation code from all specs
- Keep only core purpose, responsibilities, and interfaces
- Replace code examples with links to actual source files
- Add cross-references between related specs
- Standardize document structure across all files
Impact:
- root.spec.md: 1422 → 302 lines (-79%)
- types.spec.md: 350 → 101 lines (-71%)
- consensus-engine.spec.md: 463 → 198 lines (-57%)
- Other specs: 56-165 lines each
Benefits:
- LLM can quickly understand entire system architecture
- Easier to maintain (implementation details stay in code)
- Better knowledge graph through cross-referencing
- Faster onboarding for new developers or AI agents
- Reduced token usage when LLM processes specs
Files refactored:
- Core: types, analyzer, consensus-engine, smart-filter,
strategy-selector, cli, index
- Adapters: claude-api, github-api, retry-handler
- Frameworks: detector
- Security: privacy-guard, exclude-filter
- Utils: logger, config-loader, metrics-calculator
- Prompts: consensus-prompt
- Overview: root.spec.md, 00-overview.md
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Refactor all spec files to focus on WHAT components do rather than HOW
they're implemented, making them optimized for AI comprehension and
maintenance.
Changes:
Impact:
Benefits:
Files refactored:
strategy-selector, cli, index
Co-Authored-By: Claude Sonnet 4.5 noreply@anthropic.com