Building LinkedIN Job Application Agents - Part 2

The Technology Stack Here’s what I built the MVP with: Frontend: Streamlit (Python web framework) Backend: Integrated Python application Database: Supabase (PostgreSQL + Storage) AI: OpenAI SDK for intelligent agents Automation: linkedin-mcp-server via MCP for web scraping Email: Python smtplib for notifications (Gmail SMTP) ✅ Working Features: Multi-page Streamlit Application Dashboard with metrics and analytics Navigation between Resume Manager, Job Search, Applications, etc. Clean, professional UI with sidebar navigation Database Layer with Smart Fallbacks Complete ORM with Supabase integration Mock mode for development without database Proper error handling and graceful degradation Configuration Management Environment-based configuration Secure credential storage Easy deployment setup Developer Experience Comprehensive test suite One-command startup script Automated health checks Resume Optimization Agent: AI that tailors resumes to job descriptions Stop Losing Jobs to ATS Filters: