Clean up CLAUDE.md for performance (31.6k → 13.9k chars, 56% reduction)
Changes: - Removed redundant historical wave reports (archived) - Compressed verbose sections (GPU config, API methods, examples) - Consolidated duplicate performance metrics - Removed obsolete infrastructure details - Kept all critical architecture rules and credentials - Focused on ML readiness and current development phase Size Reduction: - Before: 31,602 characters - After: 13,913 characters - Reduction: 17,689 characters (56%) - Target: <40k characters ✅ (well under limit) Content Preserved: - ✅ Architecture topology and service responsibilities - ✅ Credentials for all services (PostgreSQL, Redis, Vault, etc.) - ✅ Critical architectural rules (5 key sections) - ✅ ML readiness validation results (6/6 tests passing) - ✅ Current status and performance benchmarks - ✅ Next priorities (ML training roadmap) - ✅ Development workflow and quick reference Content Removed: - ❌ Redundant wave history (Waves 113-152 details) - ❌ Verbose GPU troubleshooting sections - ❌ Detailed API Gateway method listings (summarized to 22 methods) - ❌ Duplicate performance metrics - ❌ Excessive DBN integration examples Impact: - Much faster context loading (<40k target met) - Easier to navigate and update - Focus on current ML training phase - All essential information retained Duration: 5 minutes (cleanup + validation)
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jgrusewski