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AI EngineeringJavaScript

Architecture Patterns

Provides system and API design guidance covering component boundaries, data flow, integration patterns, and scalability. Use during architecture planning, building, or review workflows.

1.6K stars94 forksAdded 2026/07/20

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agent-orchestrationagent-skillsagentic-aiagentic-workflowai-agentsai-automationbabysitterclaude-codeclaude-code-skillsclaude-code-workflowsclaude-skillsclaude-workflowscodex-plugincodex-skillscodex-workflowhermes-pluginpi-extensiontrustworthy-aivibe-coding

Documentation

README

From the original repository

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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