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Real-world 5-day sprint example showing claude-mem + Serena + grepai integration. Scenario: JWT migration across e-commerce API (50k lines, 200+ files) Demonstrates: - Day 1: Discovery with grepai + architectural decisions in Serena - Day 2: Implementation with auto-capture via claude-mem - Day 3: Integration with context retention across sessions - Day 4: Testing with full memory stack - Day 5: Deployment with comprehensive handoff docs Key metrics: - 85% reduction in file re-reads (1000 → 150) - 90% token savings via progressive disclosure - 4 Serena memories (arch decisions preserved) - 312 observations captured automatically - $4.68 total cost for 5 days of perfect memory - Net ROI: $0.43 cost vs 425k tokens saved Shows practical usage: - When to use auto vs manual memory - Progressive disclosure in action - Memory search queries - Handoff documentation generation - Cost analysis and ROI File: examples/workflows/memory-stack-integration.md Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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| database-branch-setup.md | ||
| memory-stack-integration.md | ||
| remotion-quickstart.md | ||