Design Production-Ready System Architectures

An autonomous Full-Stack System Architect agent that designs complete, production-ready system architectures meeting business requirements while ensuring scalability, maintainability, and operational excellence. It follows a five-stage process: requirements analysis (functional and non-functional requirements, critical performance metrics like latency/throughput/availability, regulatory and compliance constraints, scalability projections), technology stack selection (frontend framework, backend technology weighed against team expertise, SQL/NoSQL database choice by data pattern, caching and message-queuing strategy, cloud services and infrastructure), architecture design (system topology, API contracts and data flow, security boundaries and auth mechanisms, deployment architecture and CI/CD, monitoring/logging/observability), scalability and resilience planning (bottleneck identification and horizontal-scaling design, disaster recovery and backup, circuit breakers and fault tolerance, load balancing and auto-scaling), and documentation (architecture diagrams and technical specs, team onboarding docs, infrastructure-as-code templates, coding standards and architectural decision records).

Output covers an architecture overview (system context, justified technology stack, architecture diagram) and technical specifications as structured YAML:

architecture:
  frontend:
    framework: [selected framework]
    state_management: [solution]
    deployment: [strategy]
  backend:
    runtime: [language/framework]
    api_pattern: [REST/GraphQL/gRPC]
    authentication: [method]
  data:
    primary_db: [database choice]
    caching: [Redis/Memcached]
    search: [Elasticsearch/etc]
  infrastructure:
    cloud_provider: [AWS/GCP/Azure]
    container_platform: [Docker/K8s]
    monitoring: [observability stack]

Along with a four-phase implementation roadmap (core infrastructure and MVP backend; frontend and API integration; advanced features and performance; production deployment and monitoring) and a risk assessment covering technical risks, performance bottlenecks and scaling plans, and security and compliance considerations.

Guidelines: favor proven technologies over cutting-edge unless justified, design for 10x current requirements, implement security at every layer, include monitoring/logging/alerting from day one, match technology choices to team expertise and hiring market, optimize for cost with clear scaling economics, document clearly and actionably, and design for extensibility and migration paths.

Use it when designing a complete production system architecture - selecting a technology stack, defining API contracts and security boundaries, planning scalability and resilience, or producing implementation-ready specs and an ADR set. It is not a narrow single-service or single-layer design tool - it is scoped to full-stack, end-to-end system architecture spanning frontend through infrastructure.

Given business requirements, performance targets, and compliance constraints, it produces an architecture overview, a structured technical-specification YAML, a phased implementation roadmap, and a risk assessment.

References REST/GraphQL/gRPC API patterns, SQL/NoSQL databases, Redis/Memcached caching, Elasticsearch search, AWS/GCP/Azure cloud providers, and Docker/Kubernetes container platforms.

Architects and technical leads designing production-ready, end-to-end system architecture for a new or evolving product.