We want to track user interactions with the product to capture behavioral data and enrich the database data already in Supabase for full product analytics. Instead of using a third party javascript library, we will build our own lean analytics system with a Next.js/React provider built on top of existing Supabase clients (@supabase/supabase-js and @supabase/ssr). We will use intelligent client-side aggregation and smart batching to capture only the most essential behavioral data, storing it in a single optimized Supabase table designed for both human analysis and LLM consumption via Supabase MCP.

Core Principles:

• Aggregate data client-side before sending (minimal payload)

• All sensitive data must be encrypted at rest
• Audit logging for all data access and modifications
• Role-based access control (RBAC) with principle of least privilege
• Data backup and recovery procedures
• Regular security assessments and monitoring

Our application leverages the latest innovations in React 19 and Next.js 15 (App Router) to deliver powerful real-time collaboration features. User authentication and database management are powered by Supabase, with data being transitioned from Neon Postgres to Supabase Postgres and fully integrated through Drizzle ORM. We utilize the Vercel AI SDK (referenced in /documentation/ai-sdk) to orchestrate AI-driven interactions, and NextAuth.js to optionally authenticate users with oauth2 connecting third-party software assets.

Implementation Plan

1. Use React 19 & Next.js 15
   • Ensure the project dependencies match the versions in the package.json snippet provided ("react": "19.0.0-rc-...", "next": "15.0.3-canary.2").
   • Check the configuration of Next.js App Router in the /app directory, verifying that routes align with Next.js 15 standards.

• Ensure all dependencies are compatible with the versions of React and Next.js specified.