After delivering 40+ products, one pattern stands out: the projects that age well aren't the ones built fastest — they're the ones where the data model and boundaries were right from day one.
Start With the Data Model
Every feature request eventually becomes a schema question. We spend real time on the data model upfront — normalized where it matters, denormalized where read performance actually needs it — because migrating a bad schema under load is far more expensive than getting it right early.
Keep the Frontend Dumb
Business logic belongs in the backend, not scattered across components. The frontend's job is to render state and capture intent — that's it. This keeps the app testable and means a redesign never means rewriting your rules engine.
One Source of Truth for Config
Environment variables, feature flags, and API endpoints live in one place, not copy-pasted across services. When something breaks at 2am, you want one file to check, not five.
Tests for the Parts That Actually Break
We don't chase 100% coverage. We write tests for the data transformations, the payment logic, and the auth boundaries — the code where a silent bug costs real money.
The Bottom Line
None of this is exciting. It's also why our clients call us back eighteen months later instead of starting over with someone else.