architecture-patterns

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System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.

AI & Automation 814 stars 53 forks Updated today MIT

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# Architecture Patterns ## Overview Guidance for system architecture and API design decisions within CC10X workflows. Used during PLAN and BUILD workflows for architectural choices. ## Domain Areas ### Component Design - Single responsibility boundaries - Interface contracts and type safety - Dependency injection patterns - Module cohesion and coupling analysis ### Data Flow - Request/response patterns - Event-driven architecture - State management strategies - Data transformation pipelines ### Integration Patterns - API design (REST, GraphQL, RPC) - Message queuing and async processing - Service boundaries and communication - Error propagation across boundaries ### Scalability - Horizontal vs vertical scaling considerations - Caching strategies - Database design and query optimization - Load balancing and distribution ## Decision Checkpoints Architectural decisions require user approval when: - Introducing new service boundaries - Changing data flow patterns - Adding new external dependencies - Modifying public API contracts ## When to Use - During PLAN workflow architecture phases - During BUILD when architectural choices arise - When reviewing system design in REVIEW workflow ## Agents Used - `planner` (architecture planning) - `component-builder` (architecture implementation) - `code-reviewer` (architecture review)

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Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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