Engineering Principle
8 min read
Jan 2025
Evolutionary Architecture
Prioritizing business logic over infrastructure for long-term maintainability.
The Problem
"The best architectures are the ones that allow you to defer big decisions for as long as possible."
Many systems are built as Big Balls of Mud where a change in a database schema breaks the UI, or a change in a third-party payment provider requires a total rewrite of the checkout logic. This tight coupling creates a Rigidity Tax that slows down product innovation and makes the system terrifying to refactor.
The Philosophy
Architecture is not a final destination; it is an ongoing process. My philosophy is to build Adaptive Systems using Domain-Driven Design (DDD). We identify Bounded Contexts early on, ensuring that the software structure mirrors the business domain rather than a specific technical framework. We treat infrastructure as a detail that can be plugged in or out.
Implementation Strategy
I implement this by enforcing Dependency Inversion. Our core business logic (The Domain) has zero knowledge of the outside world. We use Ports and Adapters (Hexagonal Architecture) so that whether a request comes from a REST API, a gRPC call, or a CLI tool, the core logic remains untouched and fully testable.
Technical Pivot
Clean Domain Isolation
Decoupling core business rules from external drivers like Databases, APIs, or UI frameworks to prevent 'The Big Ball of Mud'.
Dogmatic Anti-Patterns
Database-First Design
Framework Leakage into Domain
God Objects and Shared Tables
Distributed Monoliths