A fast app that crashes is a failed app. This post tackles the unique challenges of GraphQL error handling, from partial data responses to network failures. Learn to build resilient UIs with skeleton loaders, intelligent retry policies, and centralized logging.
Read article →Efficient data fetching is only half the battle. This post explores the art of client-side caching, from the magic of normalized data in Apollo/Relay to bulletproof invalidation strategies and SSR hydration. Learn why great caching is as much about predictability as it is about performance.
Read article →Stop request waterfalls and N+1 problems at the source. This deep-dive covers advanced GraphQL data fetching patterns like fragments, query batching, cursor-based pagination, and real-time subscriptions to build truly performant clients.
Read article →Modern frontend performance bottlenecks often originate at the API layer. Instead of just identifying the problem, this post provides a blueprint for a solution, covering data fetching, caching, SSR, and more, kicking off a deep-dive series into building truly high-performance UIs.
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