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>
