Why handle loading, error, and empty in a data-driven UI?
Because real data is slow, fails, and sometimes empty. A view that only handles success breaks on slow networks, failures, and empty results. Handling all three is what makes a data-driven UI reliable.
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More FAQs in Building Data-Driven UIs in React: Patterns That Scale
Treat state as the source of truth, centralize API calls, use a server-state library like React Query for real apps, separate smart and dumb components, handle loading, error, and empty states, and use stable keys for dynamic lists.
State drives the UI. Fetch data into state, render from state, and update state from interactions. The UI is a function of state, which is the single principle behind every data-driven React app.
To separate the data layer from the UI layer. Components call centralized API functions and store results in state, instead of scattering fetch logic across components, which makes changes hard and mocks harder.
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