Solving Real-World Data Fetching Challenges with Next.js and TanStack Query

Building slick user experiences when your API spits out massive, ill-shaped payloads is a real headache—think extra network calls, wasted caching, flaky resilience and UI slowdowns. Fariz Aziz walks you through a pragmatic fintech case study where the team fought back using a Backend-for-Frontend pattern, Next.js (for SSR and custom API routes) and TanStack Query.

By trimming payloads at the BFF layer, optimizing cache strategies and handing state management to TanStack Query, they slashed render stalls, cut network chatter and boosted resilience—all without waiting on backend rewrites. You’ll leave with hands-on tactics to tame bloated APIs and build fast, scalable frontends in the wild.

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