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Architecture Patterns

System design and integration patterns for AI-assisted architecture development

AI-Assisted Architecture Design

Leverage AI coding assistants to design, validate, and document system architectures while maintaining architectural integrity and following established patterns.

System Design

  • • Generate architectural diagrams and documentation
  • • Analyze system requirements and constraints
  • • Propose integration patterns and data flows
  • • Validate architectural decisions against patterns
  • • Create C4 model documentation

Code Structure

  • • Scaffold clean architecture layers
  • • Generate domain models and interfaces
  • • Create dependency injection configurations
  • • Implement architectural patterns (CQRS, Event Sourcing)
  • • Build modular component structures

Architecture Pattern Library

Microservices Architecture

Managed Risk

Use AI to design service boundaries, generate service templates, and create inter-service communication patterns.

Best For: Scalable systems, team autonomy, technology diversity
Considerations: Complexity overhead, distributed system challenges

Layered Architecture

Low Risk

Generate clean separation of concerns with presentation, business, and data layers using established patterns.

Best For: Traditional applications, clear separation of concerns
Considerations: Can become rigid, performance implications

Event-Driven Architecture

Managed Risk

Design event flows, generate event schemas, and implement event sourcing patterns with AI assistance.

Best For: Real-time systems, decoupled components, audit trails
Considerations: Event ordering, debugging complexity

Serverless Architecture

Low Risk

Generate function-based architectures, event triggers, and infrastructure-as-code configurations.

Best For: Variable workloads, rapid scaling, minimal ops overhead
Considerations: Cold starts, vendor lock-in, monitoring complexity

Architecture Decision Records (ADRs)

Use AI to generate and maintain Architecture Decision Records, capturing the rationale behind architectural choices.

ADR Template Generation

Generate standardized ADR templates with context, decision, status, and consequences sections.

Decision Analysis

Analyze architectural trade-offs and generate pros/cons lists for different approaches.

Impact Assessment

Evaluate the impact of architectural decisions on performance, scalability, and maintainability.

Implementation Guidelines

✓ Do

  • • Start with well-established architectural patterns
  • • Validate AI suggestions against architectural principles
  • • Document architectural decisions and rationale
  • • Review generated diagrams for accuracy
  • • Use AI to explore multiple architectural options

✗ Don't

  • • Accept complex architectures without understanding
  • • Ignore non-functional requirements
  • • Skip architecture reviews and validation
  • • Over-engineer simple solutions
  • • Neglect performance and scalability impacts
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