Public Example
Dacoda.ai is the chat-first AI suite for architecture-first software delivery. This example shows the type of architecture pack teams can generate from a rough set of requirements.
Blueprint Ready
A HIPAA-aware patient portal should prioritize secure patient access, appointment and messaging workflows, auditable clinical data access, and a restrained AWS footprint that a small platform team can operate. The recommended architecture uses a Next.js frontend, API services behind an application load balancer, managed identity, encrypted relational storage, object storage for documents, event-driven notifications, centralized logging, and explicit controls for PHI handling.
Model
example:dacoda-reference-blueprint
Use a layered AWS architecture with a public Next.js application served through CloudFront and AWS WAF, an API tier running containerized services on ECS Fargate, and a private data tier using Amazon RDS PostgreSQL for patient and workflow data. Store uploaded documents in encrypted S3 buckets with scoped presigned access. Use Cognito for patient and staff authentication, KMS for key management, CloudTrail and CloudWatch for auditability, and EventBridge plus SQS for asynchronous notification and care-team workflow events. Keep the first version focused on portal access, secure messaging, appointment visibility, document handling, and audit trails before adding advanced analytics or complex clinical integrations.