Can I vibe code Analyzify?

Build a custom Shopify tracking solution to replace Analyzify using Node.js, Cloudflare Workers, and Shopify App Extensions.

1. ARCHITECTURE & CLIENT TRACKING:
- Create a Shopify Theme App Extension that injects a standard window.dataLayer array on all store pages.
- Construct a Shopify Web Pixel extension utilizing analytics.subscribe() to catch sandbox events: product_viewed, product_added_to_cart, checkout_started, and payment_info_submitted.
- Generate a unique event_id (UUID v4) for every client event to enable deduplication.
- Pass events to window.dataLayer following standard GA4 ecommerce schema rules (currency, value, items array with item_id, item_name, price, quantity).

2. SERVER-SIDE EDGE PROXY (CLOUDFLARE WORKER):
- Build a Cloudflare Worker proxy endpoint (/api/events) that receives JSON event payloads sent from the Web Pixel.
- Parse incoming events and transform payloads for two destinations:
  a) GA4 Measurement Protocol API endpoint (v1/collect with api_secret and firebase_app_id/measurement_id).
  b) Meta Conversions API (CAPI) endpoint (v18.0/{pixel_id}/events with access_token).
- Include user data parameters (hashed email, phone, IP address, user_agent) in Meta CAPI requests, ensuring SHA-256 hashing is performed prior to dispatch.

3. DEDUPLICATION & CONSENT:
- Enforce precise event_id matching across both client-side GTM signals and server-side worker posts.
- Implement Google Consent Mode v2 handling: read analytics_storage and ad_storage consent flags from the browser cookies or Consent Management Platform, forwarding consent signals to GA4 and conditionally suppressing Meta CAPI requests when consent is denied.

4. ERROR HANDLING & LOGGING:
- Implement async queue processing in Cloudflare Workers using waitUntil() to avoid blocking client response.
- Log payload failures, HTTP retry statuses, and malformed events to a simple Supabase table for debugging.

OUT OF SCOPE: Full visual drag-and-drop UI. Management will be handled via config files.

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