Software architecture

Software Architecture

Clean Architecture

Layer Structure (outside → inside)

┌─────────────────────────────────────┐
│  Frameworks & Drivers               │  ← FastAPI, Express, React, DB drivers
│  (Infrastructure Layer)             │
├─────────────────────────────────────┤
│  Interface Adapters                 │  ← Controllers, Presenters, Gateways
│  (Adapter Layer)                    │
├─────────────────────────────────────┤
│  Application Business Rules         │  ← Use Cases, Application Services
│  (Use Case Layer)                   │
├─────────────────────────────────────┤
│  Enterprise Business Rules          │  ← Entities, Domain Models
│  (Domain Layer)                     │
└─────────────────────────────────────┘

Dependency Rule: Dependencies only point inward. The domain knows nothing about the database.

Practical Application

• Domain entities have no framework imports
• Use cases define interfaces (ports); infrastructure implements them (adapters)
• Controllers are thin — they translate HTTP to use case calls, nothing more
• The database is a detail, not the architecture

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SOLID Principles

S — Single Responsibility A class/module has one reason to change. If you need "and" to describe what it does, split it.

O — Open/Closed Open for extension, closed for modification. Add behavior via new classes, not by modifying existing ones. Strategy pattern is the classic implementation.

L — Liskov Substitution Subtypes must be substitutable for their base types without breaking the program. If you find yourself checking isinstance() in business logic, Liskov is violated.

I — Interface Segregation Many specific interfaces > one general interface. Clients shouldn't depend on methods they don't use.

D — Dependency Inversion High-level modules don't depend on low-level modules — both depend on abstractions. Inject dependencies; don't construct them inside classes.

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Essential Design Patterns

Creational

Factory Method — when you need to create objects without specifying the exact class Builder — when constructing complex objects step by step

Structural

Repository — abstracts data access behind an interface; use case calls user_repo.find_by_id(), doesn't know if it's Postgres or Redis Adapter — wraps incompatible interfaces; isolates third-party code

Behavioral

Strategy — encapsulates interchangeable algorithms; inject the algorithm, don't hardcode it Observer/Event — decouple producers from consumers; domain events are the DDD version Command — encapsulate requests as objects; enables undo, queuing, logging

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Domain-Driven Design (Core Concepts)

Entity — has identity (ID), state can change, two entities with same ID are the same object Value Object — no identity, defined by its attributes, immutable (Money, Address, Email) Aggregate — cluster of entities/VOs with a root; transactions happen within one aggregate Domain Event — something that happened in the domain that other parts care about Repository — collection-like interface to access aggregates Service — domain logic that doesn't fit in an entity

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Architecture Patterns

CQRS (Command Query Responsibility Segregation)

Separate read models from write models. Commands change state; queries return data. Use when read and write load patterns differ significantly.

Event Sourcing

Store events, not state. Current state = replaying all events. Use when audit trail, temporal queries, or undo are requirements. Warning: significant complexity cost.

Hexagonal Architecture (Ports & Adapters)

Application core defines ports (interfaces); adapters implement them. Database, HTTP, and message queue are all adapters. Core is fully testable without infrastructure.

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Anti-Patterns to Avoid

Big Ball of Mud — no clear structure, everything depends on everything Anemic Domain Model — entities are just data bags, all logic in services God Object — one class knows too much and does too much Leaky Abstractions — database details seeping into business logic Premature Optimization of Architecture — adding CQRS/Event Sourcing before scale requires it

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Architecture Decision Template

When making an architecture decision, document:

Context: [What situation are we in?]
Decision: [What we chose]
Rationale: [Why — including rejected alternatives]
Consequences: [What becomes easier, what becomes harder]

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Quick Heuristics

• If a change requires modifying multiple unrelated files → coupling problem
• If testing requires running the full application → dependency inversion violated
• If the code can't be understood without knowing the framework → architecture leaked
• If you're not sure where new code goes → the layer structure isn't clear enough

Source: adapted from ComposioHQ/awesome-claude-skills/software-architecture + standard references