Context: Expand AI is fully deployed and planned; we’re integrating backends and customizations.
Stack: Next.js + LangChain + Supabase (+ LangGraph as needed).
Access & Setup
1
Accept GitHub Invite
Check your email for the GitHub organization invite and accept it
2
Clone Repository
3
Read Documentation
Review these three critical files:
4
Environment Setup
5
Install & Run
http://localhost:3000Execution Loop
Your daily workflow for implementing features:- 1. Planning
- 2. Implementation
- 3. Review
- 4. Ship
Example Milestones
Your first sprint will likely include:M1: Auth & RLS Setup
M1: Auth & RLS Setup
- Confirm auth flow works end-to-end
- Add missing Supabase RLS policies
- Test multi-tenant data isolation
- Document auth architecture
M2: First Agentic Workflow
M2: First Agentic Workflow
- Implement LangChain tool calling
- Add retry logic and fallbacks
- Create workflow monitoring
- Write integration tests
M3: Chat Endpoint
M3: Chat Endpoint
- Create Supabase Edge Function
- Integrate with frontend components
- Add streaming support
- Implement rate limiting
M4: Telemetry
M4: Telemetry
- Configure Sentry error tracking
- Add OpenTelemetry traces
- Create performance dashboards
- Set up alerts
M5: Hardening
M5: Hardening
- Strengthen input validation with Zod
- Improve error envelopes
- Add rate limiting
- Security audit

