Monolithic state stores often turn frontend codebases into maintenance bottlenecks where every new feature requires modifying reducers, selectors, and middleware.
When development teams jam both remote server data and local browser UI state into a single global store, component re-renders multiply and onboarding new engineers takes weeks.
Restructuring frontend architecture around distinct data origins solves these bottlenecks by matching specialized tools to specific state categories.
In short
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Separate server state from client state to drastically reduce cache bugs and simplify component trees.
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Adopt TanStack Query for remote fetching and caching to eliminate boilerplate action creators.
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Use lightweight global stores like Zustand strictly for browser-local UI state that requires cross-component sharing.
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Avoid jamming asynchronous API payloads and synchronous UI toggles into a single monolithic Redux store.
The Cost of Monolithic State Stores
Traditional frontend architectures often rely on a single global store for every piece of application data. Over time, this creates a tightly coupled web of reducers, action creators, and custom middleware.
Engineers working on mature codebases spend excessive time tracing state mutations across dozens of files just to fix a stale data bug. Onboarding new developers slows down because understanding the state topology requires reading extensive documentation rather than inspecting modular components.
Defining the Boundaries: Server vs Client State
Solving state complexity starts with a strict architectural boundary between data origin types. Server state consists of asynchronous resources fetched from an API, such as user profiles, product catalogs, and paginated lists.
Client state lives exclusively in the browser session. It tracks local interface conditions like open modals, active tabs, and multi-step form progress. Treating these two categories with the same tool creates unnecessary cache invalidation logic.
Practical Refactoring and Tool Selection
Migrating away from bloated global stores requires pairing each state type with purpose-built libraries. TanStack Query handles remote data synchronization, background refetching, and cache management out of the box.
For shared client state that genuinely needs global accessibility, lightweight stores like Zustand offer minimal boilerplate compared to legacy Redux setups. This targeted approach shrinks bundle sizes, accelerates feature delivery, and keeps application layers decoupled.
Evaluating state architecture through the lens of data origin prevents accidental coupling and reduces long-term technical debt.
Building maintainable web applications requires choosing the right primitive for each specific workload instead of defaulting to monolithic global stores.
Sources
State Management 2026: The Complete Guide for Web Teams
https://pilecode.com/en/blog/state-management-2026-guide-web-teams
