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Build Apiary Companion beekeeping app MVP#1

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Fliegenbart wants to merge 2 commits intomainfrom
claude/apiary-companion-mvp-qL7uH
Open

Build Apiary Companion beekeeping app MVP#1
Fliegenbart wants to merge 2 commits intomainfrom
claude/apiary-companion-mvp-qL7uH

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Implements full-featured beekeeping management app with:

Core Features:

  • Offline-first SQLite database with migrations
  • Apiary and hive management (CRUD operations)
  • Fast inspection flow with Quick Log mode
  • Camera integration for hive photos
  • Voice recording for hands-free notes
  • AI-powered inspection structuring with LLM
  • Automated task generation from findings
  • Task management with priorities and due dates
  • CSV export of all inspection data
  • Privacy-first GDPR-compliant design

Technical Stack:

  • React Native with Expo SDK 54
  • TypeScript for type safety
  • Expo Router for file-based navigation
  • SQLite for local storage
  • Comprehensive service layer architecture

App Structure:

  • 9 navigation screens (tabs + detail views)
  • Complete database schema with 11 tables
  • 9 service modules for business logic
  • Seed data with demo apiary, hives, and inspections
  • Versioned LLM prompt for AI structuring

Safety & Compliance:

  • Conservative AI extraction (no medical diagnosis)
  • Local-only data storage by default
  • Full export capability
  • GDPR-compliant data handling

See README.md for complete documentation, setup instructions, and explanation of the LLM structuring system.

claude added 2 commits January 5, 2026 11:20
Implements full-featured beekeeping management app with:

Core Features:
- Offline-first SQLite database with migrations
- Apiary and hive management (CRUD operations)
- Fast inspection flow with Quick Log mode
- Camera integration for hive photos
- Voice recording for hands-free notes
- AI-powered inspection structuring with LLM
- Automated task generation from findings
- Task management with priorities and due dates
- CSV export of all inspection data
- Privacy-first GDPR-compliant design

Technical Stack:
- React Native with Expo SDK 54
- TypeScript for type safety
- Expo Router for file-based navigation
- SQLite for local storage
- Comprehensive service layer architecture

App Structure:
- 9 navigation screens (tabs + detail views)
- Complete database schema with 11 tables
- 9 service modules for business logic
- Seed data with demo apiary, hives, and inspections
- Versioned LLM prompt for AI structuring

Safety & Compliance:
- Conservative AI extraction (no medical diagnosis)
- Local-only data storage by default
- Full export capability
- GDPR-compliant data handling

See README.md for complete documentation, setup instructions,
and explanation of the LLM structuring system.
Configure Apiary Companion to run seamlessly in Replit:

Replit Configuration:
- .replit: Run config with tunnel mode for Expo
- replit.nix: Node.js 20 + TypeScript dependencies
- package.json: Root-level scripts for easy launch
- Port forwarding for Expo dev server (19000-19002)

Documentation:
- REPLIT_SETUP.md: Complete Replit setup guide
  * Quick start instructions (60 seconds)
  * Expo Go testing on phone
  * AI structuring configuration
  * Troubleshooting tips
  * Feature walkthrough
- Updated README.md: Added Replit quick start section
- Updated apiary-companion/README.md: Link to Replit guide

Key Features for Replit:
- One-click Run button launches entire app
- Tunnel mode for external device connection
- QR code in console for Expo Go
- Demo data auto-seeded on first launch
- Works on physical iPhone/Android devices

Testing Flow:
1. Click Run in Replit
2. Scan QR code with Expo Go app
3. App loads with demo data
4. Test on real device with camera/microphone

All dependencies install automatically. App ready to test
in under 2 minutes.
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2 participants