feat: initial implementation — all 35 requirements across phases 1-3
Backend (Spring Boot 3.2 / Java 21 / PostgreSQL): - JWT auth with BCrypt password hashing - User profile + Mifflin-St Jeor BMR calculator - Food search + barcode via OpenFoodFacts API with local cache - Meal CRUD with user data isolation and ownership checks - AI photo analysis (OpenAI Vision) with confidence intervals - AI correction feedback loop for personalisation - Flyway DB migrations + RFC-7807 error responses Mobile (React Native / TypeScript): - Full navigation stack (Auth → Tabs → Home stack) - Design tokens (WCAG 2.2 AA colours, 8px grid, 48px touch targets) - 10 screens: Login, Register, Home, Search, Camera, AI Result, Edit Meal, Daily Details, History, Profile - Confidence-aware calorie display (kcal ± range) - Repeat last meal shortcut + macro tracking Docs: - docs/PLAN-AND-REQUIREMENTS.md - docs/traceability.csv (35 requirements, all Implemented)
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.vscode/mcp.json
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{
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"servers": {
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"virsaitis": {
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"type": "stdio",
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"command": "node",
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"args": [
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"/Users/andris.enins/.vscode/extensions/accenture-baltics.virsaitis-3.0.3/dist/mcp-server.js"
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],
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"env": {
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"VIRSAITIS_WORKSPACE": "${workspaceFolder}"
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}
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}
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}
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}
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