APIs designed for the consumer, not the database
Exposing your database tables as JSON endpoints is fast to build and painful to maintain. We design APIs around what clients actually need — a mobile app fetching a dashboard summary in one call, a partner webhook receiving order updates, a frontend paginating search results without loading ten thousand rows.
Error responses use consistent shapes and HTTP status codes that mean something. Validation errors say which field failed and why. Rate limits return headers so integrators can back off gracefully.
Data modelling that lasts
Schema changes are inevitable. We use migrations from the start, index columns that appear in WHERE clauses, and avoid storing derived data that goes stale unless there is a measured performance reason. For reporting-heavy products we separate operational and analytics queries so a dashboard never locks your checkout table.
Background work done right
Sending emails, generating PDFs, syncing to external systems — these belong in job queues, not HTTP request threads. We use Redis-backed workers with retry logic and dead-letter handling so a failed SMS provider does not silently drop notifications.