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docs: Sprint 2 Assessment - Testing & Voice Processing Analysis
Completed comprehensive assessment of Sprint 2 scope:

Testing Infrastructure Status:
 Backend Unit Tests: 80%+ coverage (27 files, 751 tests)
🟡 Backend E2E Tests: 40% (4/10 modules covered)
  - Existing: app, auth, children, tracking
  - Missing: AI, analytics, voice, families, photos, notifications
 Frontend E2E Tests: 0% (Playwright configured, no tests)

Voice Processing Status:
 Azure OpenAI Whisper: Fully integrated (90% complete)
  - transcribeAudio() working
  - Multi-language support (5 languages)
  - Temp file handling
  - Activity extraction with confidence scoring
🟡 Error Recovery: Partially implemented (10% complete)
  - Basic error handling exists
  - Missing: retry logic, confidence thresholds, fallback strategies

Sprint 2 Recommendations:
- Option A: Focus on Testing (14-22h) - Quality first
- Option B: Focus on Voice (4-6h) - Feature enhancement
- Option C: Hybrid Approach (10-14h) - RECOMMENDED
  * Top 3 backend E2E modules (4-6h)
  * Top 3 frontend E2E flows (4-6h)
  * Voice error recovery (2-3h)

Deliverables:
- Detailed task breakdown with estimates
- Implementation templates for E2E tests
- Voice retry logic example with exponential backoff
- Success criteria and metrics

Ready for Sprint 2 execution decision.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-03 21:31:35 +00:00
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