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Graph/implicit-global-state-misuse

AntiPattern

Implicit Global State Misuse

implicit-global-state-misuse

Application-wide singletons, cached components, or globally shared modules get reused from everywhere (often via statics or bean overrides), so configuration and execution assumptions diverge, breaking metrics/observability or enabling unintended behavior. Centralizing lifecycle/state fixes it.

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Updated6/23/2026

Connections

30 linked nodes

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set((state) => ({ appSettings: {...state.appSettings, [val]: data} })) — // store.ts. Tension: it has no effect. Outcome: a working code.

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Leverage React 18's `useSyncExternalStore` — ensure consistent state between SSR and CSR. Tension: client-side state doesn't sync properly with the server-rendered state. Outcome: to ensure consistent state between SSR and CSR.

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Guard `localStorage` access with a client-only check (e.g., `typeof window !== 'undefined'` / run only in a client component) and initialize the Zustand store once on mount; optionally delay rendering of cart UI until initialization completes to avoid showing `0` temporarily.

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I create a global error store. — I add setError in the catch block of my functions. Tension: I often use function names as scopes. Outcome: Then I can access the error msg in my components like this.

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They both have their own pros and cons — base it on your project requirements. Tension: If you have quite a complex application tree of deeply-nested components Recoil's uses atoms and selectors pattern. Outcome: If you prefer a more direct approach with Zustand your state is stored in a single store and is accessed and modified directly by your components.

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Think about circular dependency and redesign your state architecture

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an alternative approach could be to use a global store, such as zustand — once the Tiptap extension is initialized. Tension: it's not going to react to prop changes. Outcome: Here's an example from an implementation that I'm using:.

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Manage the refreshing state more robustly — ensuring it only turns off after all async operations are complete. Tension: remove the arbitrary timeout. Outcome: ensure no state updates occur after the component begins to unmount.

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Lift mutation state to a shared owner (same parent) or to shared global/local state (React Context/Redux or local state in a shared parent), and update that state inside `onSuccess`/`onError`/`onSettled` (or `isPending`) callbacks; alternatively, read mutation status via the same `useMutation` instance passed/shared with the other component.

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The reliable workaround was to unify React versions across the entire monorepo so that shared and all apps use the same React version, eliminating the type incompatibility.

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This preserves the import-safety property of the guard. Tension: variables visible to all module-level functions.

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Create a lifespan-managed shared state (e.g., instantiate a state manager/model in FastAPI lifespan) and store the loaded model in that state so request handlers can access it via Request/app state or a dependency that reads from lifespan.

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Move the dependency definitions (e.g., `get_database`, `get_db_connection`) into a separate module (e.g., `dependencies.py`) and adjust lifecycle/state usage to store the pool in and read it from `request.state` instead of `app.state` (optionally returning the pool from the lifespan context).

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inside the singleton.

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Avoid deploying to the same host as the self-hosted runner; instead use separate infrastructure or safer deployment approaches (e.g., GitHub Environments/Deployments) and restrict runner permissions/isolate the runner from application runtime.

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Pull the pure cores onto the always-run unit lane — for the genuinely integration-level invariants. Tension: a skipped test is not a passing test.

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set_config('somenamespace.current_user', 123, true). Tension: This raises the following complexities: It significantly increases amount of code required on a backend. Outcome: Different endpoints in your app can operate under different roles with adequate defaults already in place.

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Better to keep separate code bases — The point of microservices is that each service has a narrow, clearly defined set of responsibilities. Tension: it complicates deployment and testing. Outcome: allow the two services to evolve independently, and live with some duplication.

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Use a real sandboxing mechanism (e.g., iframe sandboxing or other isolation) instead of relying on web components; optionally provide a reusable sandbox wrapper or enforce an API/store policy and accept risk via contracts/licensing when using user-provided components.

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depending on your latency budget. Outcome: Same idea, but the state lives outside the process boundary.

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Stage 2 (startup). Tension: Lazy import keeps cold-start light so the healthcheck passes; the memory bump covers the import when the handler actually runs. Outcome: functions-framework can bind the port.

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Update state immutably inside the interval (deep-copy or create new arrays/objects for modified shoppers/checkout lines) before calling setState. Optionally remove StrictMode for testing, but the real fix is eliminating nested reference mutation.

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Don’t rely on paused debugger visibility of `useState` locals for correctness; verify values during normal execution or force usage (e.g., reference the state in the handler/closure or store it in a ref/state that must persist).

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one of my integration tests affects the other. Outcome: Make sure you properly defined and initialized `mystuff`.

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Use a static Instance property, assign in OnAwake, and null it in OnDestroy with an identity guard — s&box. Outcome: Access from anywhere with BarFlipGameManager.Instance?.DoSomething().

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anonymous REST adapters and lazy registration — TypeScript/Hono agent platform. Tension: non-MCP agents and anonymous write attempts hit avoidable friction.

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Don't build per-client adapters. — client capabilities change with updates. Tension: They become a maintenance nightmare — every new feature needs N implementations. Outcome: one delivery function that degrades.

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capability detection → graceful fallback → DB queue for stateless clients — support all of these. Tension: There's no single mechanism that works everywhere. Outcome: capability negotiation is the only viable pattern.

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after each allocation that may trigger GC. Tension: Do not cache interior pointers (params) across GC-unsafe allocation calls. Outcome: Apply same fix pattern to sampled_data_continue.

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Facepunch Sandbox demonstrates a clean dual-scope event architecture using `Local` and `Global` static classes. Tension: Difficulty implementing cancellable events.

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