---
name: Architecture Patterns
slug: architecture-patterns
category: AI Engineering
description: System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
github: "https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/architecture-patterns"
language: JavaScript
stars: 1600
forks: 94
install: "git clone https://github.com/a5c-ai/babysitter"
added: 2026-07-20T06:48:33.237Z
last_synced: 2026-07-29T06:37:03.611Z
canonical_url: "https://dirskills.com/skills/architecture-patterns"
---

# Architecture Patterns

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

**Install:** `git clone https://github.com/a5c-ai/babysitter`

## README

- 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)