lidge-jun/senior-architect
senior-architect/SKILL.md
System architecture design, ADRs, dependency analysis, architecture pattern selection (monolith, microservices, CQRS, event sourcing, hexagonal), database and tech stack decision matrices. Use when making architecture decisions or evaluating system design.
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SKILL.md
- name:
- senior-architect
- description:
- System architecture design, ADRs, dependency analysis, architecture pattern selection (monolith, microservices, CQRS, event sourcing, hexagonal), database and tech stack decision matrices. Use when making architecture decisions or evaluating system design.
Senior Architect
Architecture design guidance: pattern selection, decision documentation, dependency analysis, and system evolution strategies.
Architecture Decision Records (ADRs)
# ADR-001: [Decision Title]
## Status
Accepted | Proposed | Deprecated | Superseded by ADR-XXX
## Context
What problem are we facing? What constraints exist?
## Decision
What did we decide and why?
## Consequences
- Positive: [benefits]
- Negative: [trade-offs accepted]
- Risks: [what could go wrong]
Store in: docs/adrs/ or docs/architecture/decisions/
Architecture Pattern Selection
Decision Matrix
| Requirement | Recommended Pattern | |---|---| | Rapid MVP development | Modular Monolith | | Independent team deployment | Microservices | | Complex domain logic | Domain-Driven Design | | High read/write ratio difference | CQRS | | Audit trail required | Event Sourcing | | Third-party integrations | Hexagonal (Ports & Adapters) |
Pattern Overview
| Pattern | Key Idea | Trade-off | |---------|----------|-----------| | Modular Monolith | Single deployment, clear module boundaries | Easy start, harder to scale independently | | Microservices | Independent services, own databases | Operational complexity, network latency | | CQRS | Separate read/write models | Complexity increase, eventual consistency | | Event Sourcing | Store events, not state | Full audit trail, replay capability; harder queries | | Hexagonal | Ports & adapters separate core from infra | Testable, swappable; more indirection |
Dependency Analysis
Healthy vs Unhealthy Dependencies
| Signal | Healthy | Unhealthy | |--------|---------|-----------| | Direction | Unidirectional (A → B) | Circular (A → B → C → A) | | Coupling | Interface-based | Implementation-based | | Scope | Narrow (few imports) | Broad (importing internals) |
Breaking Circular Dependencies
- Extract shared interface/contract
- Invert dependency direction (depend on abstractions)
- Introduce an event bus or mediator
- Split into separate modules
Database Selection
| Type | Best For | |------|----------| | PostgreSQL | Default for most apps. ACID, complex queries, JSON support | | MongoDB | Flexible schema, document-oriented, rapid prototyping | | Redis | Caching, sessions, real-time features | | DynamoDB | Serverless, auto-scaling, AWS-native | | TimescaleDB | Time-series with SQL |
Tech Stack Decision
| Question | Recommendation | |----------|---------------| | SEO required? | Next.js with SSR | | Internal dashboard? | React + Vite | | API-first backend? | FastAPI or Fastify | | Enterprise scale? | NestJS + PostgreSQL | | Rapid prototype? | Next.js API routes | | Real-time needed? | WebSocket layer (Socket.io, ws) |
System Design Workflow
- Clarify requirements: Functional + non-functional (latency, throughput, availability)
- Estimate scale: Users, requests/sec, data size, growth rate
- Design high-level architecture: Components, data flow, API boundaries
- Choose data stores: Based on access patterns, consistency needs
- Design for failure: Retries, circuit breakers, fallbacks, graceful degradation
- Plan evolution: How does this scale 10×? What do we change?
Review Checklist
- ADR exists for key choices
- No circular dependencies between modules
- Clear separation: transport → business logic → data access
- Failure modes identified and handled
- Scaling strategy documented
- Consistency model chosen (strong vs eventual)
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