Inspiration

Building a scalable, production-ready healthcare system is challenging and time-consuming. We wanted to demonstrate how Kiro AI can accelerate development while maintaining enterprise-grade quality.

What it does

A multi-tenant hospital management system that provides complete data isolation between hospital tenants while maintaining a unified codebase. Features include:

  • Patient Management: Manage patient records with 32 fields per patient
  • Appointments: Schedule and manage appointments across departments
  • Medical Records: Store clinical documentation, lab reports, and imaging
  • Bed Management: Track bed availability and patient assignments
  • AI Chatbot: MedChat - AI-powered medical assistant for patient queries
  • Role-Based Access Control: 8 hospital roles with 20+ granular permissions
  • Real-time Monitoring: Health checks and uptime management

How we built it

Tech Stack:

  • Backend: Node.js 18 with TypeScript (Express.js 5.x)
  • Database: PostgreSQL 14 with schema-based multi-tenancy
  • Frontend: Next.js 16 with React 19 and Tailwind CSS
  • Mobile: Flutter application
  • Cloud: AWS (Cognito, S3, SES, Lightsail)
  • Workflow: n8n for automated processes

Kiro AI Development Approach:

  1. Vibe Coding: Rapid feature development through natural language
  2. Spec-Driven Development: Structured implementation of complex features
  3. Steering Docs: Architecture enforcement across 40,000 lines
  4. Agent Hooks: Automated security and quality validation
  5. MCP Integration: Extended capabilities for testing and deployment

Challenges we ran into

  • Implementing schema-based multi-tenancy with complete data isolation
  • Managing 14 tenant schemas with automatic schema switching
  • Ensuring JWT validation and tenant context on every request
  • Balancing performance optimization on a single Lightsail instance

Accomplishments we're proud of

  • 99.9% Uptime: Production deployment with zero downtime
  • 14 Active Tenants: 39 real users, 159 patients, zero isolation breaches
  • 40,000 Lines: 80% generated by Kiro AI
  • 1 Month: Traditional 4-6 months compressed to 1 month
  • 60-70% Cost Savings: vs. traditional team-based approach
  • 90% Test Coverage: Automated testing across all features
  • Zero Security Incidents: No vulnerabilities or data leaks

What we learned

  • AI can generate production-quality code when properly guided
  • Steering documents are critical for consistency in large codebases
  • Multi-tenant architecture requires rigorous security enforcement
  • Small teams can build enterprise systems with AI assistance

What's next

  • Pharmacy management module
  • Laboratory management system
  • Advanced analytics dashboard
  • AI-powered diagnosis assistance
  • Telemedicine integration
  • White-label solution for hospitals
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