Building Data APIs from scratch takes too long. Developers and LLMs write repetitive boilerplate, repeatedly connect disparate data sources, and duplicate efforts across services. This delays feature delivery and stifles innovation.
Work spans multiple contexts—DB clients, backend services, API gateways, and CI/CD pipelines—leading to redundant tasks, inconsistent environments, and a subpar developer experience. Context switching wastes time and increases error risk.
As projects grow, managing data, endpoint definitions, permissions, and deployment infrastructure becomes brittle. Schema changes or config updates can introduce cascading failures, and debugging across layers is tedious and error-prone.