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TanStack Query v5 Patterns

TanStack Query v5 Patterns

Server state management with TanStack Query v5 for Google Antigravity projects including queries, mutations, and optimistic updates.

tanstack-queryreact-querystate-managementcachingreact
by Antigravity Team
⭐0Stars
.antigravity
# TanStack Query v5 Patterns for Google Antigravity

Master server state management with TanStack Query v5 in your Google Antigravity IDE projects. This comprehensive guide covers queries, mutations, optimistic updates, and caching strategies optimized for Gemini 3 agentic development.

## Query Client Configuration

Set up TanStack Query with proper defaults:

```typescript
// lib/query-client.ts
import { QueryClient } from '@tanstack/react-query';

export function makeQueryClient() {
  return new QueryClient({
    defaultOptions: {
      queries: {
        staleTime: 60 * 1000, // 1 minute
        gcTime: 5 * 60 * 1000, // 5 minutes (formerly cacheTime)
        retry: (failureCount, error) => {
          // Don't retry on 4xx errors
          if (error instanceof Response && error.status >= 400 && error.status < 500) {
            return false;
          }
          return failureCount < 3;
        },
        refetchOnWindowFocus: false,
      },
      mutations: {
        retry: false,
      },
    },
  });
}

// Singleton for client-side
let browserQueryClient: QueryClient | undefined = undefined;

export function getQueryClient() {
  if (typeof window === 'undefined') {
    // Server: always make a new query client
    return makeQueryClient();
  }
  // Browser: make a new client if we don't have one
  if (!browserQueryClient) {
    browserQueryClient = makeQueryClient();
  }
  return browserQueryClient;
}
```

## Provider Setup

Configure the query provider for Next.js:

```typescript
// components/providers/QueryProvider.tsx
'use client';

import { QueryClientProvider } from '@tanstack/react-query';
import { ReactQueryDevtools } from '@tanstack/react-query-devtools';
import { getQueryClient } from '@/lib/query-client';

export function QueryProvider({ children }: { children: React.ReactNode }) {
  const queryClient = getQueryClient();

  return (
    <QueryClientProvider client={queryClient}>
      {children}
      <ReactQueryDevtools initialIsOpen={false} />
    </QueryClientProvider>
  );
}
```

## Query Patterns

Create type-safe query hooks:

```typescript
// hooks/queries/usePrompts.ts
import { useQuery, useInfiniteQuery, useSuspenseQuery } from '@tanstack/react-query';

// Query key factory for type safety
export const promptKeys = {
  all: ['prompts'] as const,
  lists: () => [...promptKeys.all, 'list'] as const,
  list: (filters: PromptFilters) => [...promptKeys.lists(), filters] as const,
  details: () => [...promptKeys.all, 'detail'] as const,
  detail: (slug: string) => [...promptKeys.details(), slug] as const,
  starred: (userId: string) => [...promptKeys.all, 'starred', userId] as const,
};

interface PromptFilters {
  search?: string;
  category?: string;
  page?: number;
}

// Fetch function
async function fetchPrompts(filters: PromptFilters) {
  const params = new URLSearchParams();
  if (filters.search) params.set('search', filters.search);
  if (filters.category) params.set('category', filters.category);
  if (filters.page) params.set('page', String(filters.page));

  const response = await fetch(`/api/prompts?${params}`);
  if (!response.ok) throw new Error('Failed to fetch prompts');
  return response.json() as Promise<PromptsResponse>;
}

// Basic query hook
export function usePrompts(filters: PromptFilters = {}) {
  return useQuery({
    queryKey: promptKeys.list(filters),
    queryFn: () => fetchPrompts(filters),
    placeholderData: (previousData) => previousData,
  });
}

// Suspense query hook (for React Suspense)
export function usePromptsSuspense(filters: PromptFilters = {}) {
  return useSuspenseQuery({
    queryKey: promptKeys.list(filters),
    queryFn: () => fetchPrompts(filters),
  });
}

// Infinite query for pagination
export function useInfinitePrompts(filters: Omit<PromptFilters, 'page'> = {}) {
  return useInfiniteQuery({
    queryKey: promptKeys.list(filters),
    queryFn: ({ pageParam }) => fetchPrompts({ ...filters, page: pageParam }),
    initialPageParam: 1,
    getNextPageParam: (lastPage) =>
      lastPage.hasMore ? lastPage.page + 1 : undefined,
    getPreviousPageParam: (firstPage) =>
      firstPage.page > 1 ? firstPage.page - 1 : undefined,
  });
}

// Single prompt query
export function usePrompt(slug: string) {
  return useQuery({
    queryKey: promptKeys.detail(slug),
    queryFn: async () => {
      const response = await fetch(`/api/prompts/${slug}`);
      if (!response.ok) {
        if (response.status === 404) {
          throw new NotFoundError('Prompt not found');
        }
        throw new Error('Failed to fetch prompt');
      }
      return response.json() as Promise<Prompt>;
    },
    enabled: Boolean(slug),
  });
}
```

## Mutation Patterns

Implement mutations with optimistic updates:

```typescript
// hooks/mutations/useStarPrompt.ts
import { useMutation, useQueryClient } from '@tanstack/react-query';
import { promptKeys } from '../queries/usePrompts';

interface StarMutationContext {
  previousPrompt?: Prompt;
  previousList?: PromptsResponse;
}

export function useStarPrompt() {
  const queryClient = useQueryClient();

  return useMutation({
    mutationFn: async ({ promptId }: { promptId: string }) => {
      const response = await fetch(`/api/prompts/${promptId}/star`, {
        method: 'POST',
      });
      if (!response.ok) throw new Error('Failed to star prompt');
      return response.json() as Promise<{ starred: boolean }>;
    },

    onMutate: async ({ promptId }): Promise<StarMutationContext> => {
      // Cancel outgoing queries
      await queryClient.cancelQueries({ queryKey: promptKeys.all });

      // Snapshot current state
      const previousPrompt = queryClient.getQueryData<Prompt>(
        promptKeys.detail(promptId)
      );

      // Optimistically update the detail
      if (previousPrompt) {
        queryClient.setQueryData<Prompt>(promptKeys.detail(promptId), {
          ...previousPrompt,
          isStarred: !previousPrompt.isStarred,
          starCount: previousPrompt.isStarred
            ? previousPrompt.starCount - 1
            : previousPrompt.starCount + 1,
        });
      }

      return { previousPrompt };
    },

    onError: (error, variables, context) => {
      // Rollback on error
      if (context?.previousPrompt) {
        queryClient.setQueryData(
          promptKeys.detail(variables.promptId),
          context.previousPrompt
        );
      }
    },

    onSettled: (data, error, variables) => {
      // Invalidate to refetch fresh data
      queryClient.invalidateQueries({
        queryKey: promptKeys.detail(variables.promptId),
      });
      queryClient.invalidateQueries({
        queryKey: promptKeys.lists(),
      });
    },
  });
}

// Create prompt mutation
export function useCreatePrompt() {
  const queryClient = useQueryClient();

  return useMutation({
    mutationFn: async (data: CreatePromptInput) => {
      const response = await fetch('/api/prompts', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(data),
      });
      if (!response.ok) {
        const error = await response.json();
        throw new Error(error.message || 'Failed to create prompt');
      }
      return response.json() as Promise<Prompt>;
    },

    onSuccess: (newPrompt) => {
      // Add to cache
      queryClient.setQueryData(
        promptKeys.detail(newPrompt.slug),
        newPrompt
      );

      // Invalidate lists to include new prompt
      queryClient.invalidateQueries({
        queryKey: promptKeys.lists(),
      });
    },
  });
}
```

## Prefetching Strategies

Implement smart prefetching:

```typescript
// lib/prefetch.ts
import { QueryClient } from '@tanstack/react-query';
import { promptKeys } from '@/hooks/queries/usePrompts';

export async function prefetchPrompt(queryClient: QueryClient, slug: string) {
  await queryClient.prefetchQuery({
    queryKey: promptKeys.detail(slug),
    queryFn: () => fetch(`/api/prompts/${slug}`).then((r) => r.json()),
    staleTime: 60 * 1000,
  });
}

// Component with prefetch on hover
export function PromptCard({ prompt }: { prompt: PromptSummary }) {
  const queryClient = useQueryClient();

  const handleMouseEnter = () => {
    // Prefetch prompt details on hover
    queryClient.prefetchQuery({
      queryKey: promptKeys.detail(prompt.slug),
      queryFn: () => fetch(`/api/prompts/${prompt.slug}`).then((r) => r.json()),
      staleTime: 60 * 1000,
    });
  };

  return (
    <Link
      href={`/prompts/${prompt.slug}`}
      onMouseEnter={handleMouseEnter}
      className="prompt-card"
    >
      <h3>{prompt.title}</h3>
      <p>{prompt.description}</p>
    </Link>
  );
}

// Server-side prefetching with Next.js
// app/prompts/[slug]/page.tsx
import { dehydrate, HydrationBoundary } from '@tanstack/react-query';
import { getQueryClient } from '@/lib/query-client';
import { promptKeys } from '@/hooks/queries/usePrompts';

export default async function PromptPage({ params }: { params: { slug: string } }) {
  const queryClient = getQueryClient();

  await queryClient.prefetchQuery({
    queryKey: promptKeys.detail(params.slug),
    queryFn: () => fetchPrompt(params.slug),
  });

  return (
    <HydrationBoundary state={dehydrate(queryClient)}>
      <PromptDetail slug={params.slug} />
    </HydrationBoundary>
  );
}
```

## Query Composition

Combine queries for complex data needs:

```typescript
// hooks/queries/usePromptWithRelated.ts
import { useQueries, useQuery } from '@tanstack/react-query';

export function usePromptWithRelated(slug: string) {
  const promptQuery = useQuery({
    queryKey: promptKeys.detail(slug),
    queryFn: () => fetchPrompt(slug),
    enabled: Boolean(slug),
  });

  const relatedQueries = useQueries({
    queries: (promptQuery.data?.tags || []).slice(0, 3).map((tag) => ({
      queryKey: [...promptKeys.lists(), { tag, limit: 4 }],
      queryFn: () => fetchPrompts({ tag, limit: 4 }),
      enabled: Boolean(promptQuery.data),
    })),
  });

  const isLoading = promptQuery.isLoading || relatedQueries.some((q) => q.isLoading);
  const isError = promptQuery.isError || relatedQueries.some((q) => q.isError);

  const relatedPrompts = relatedQueries
    .flatMap((q) => q.data?.prompts || [])
    .filter((p) => p.slug !== slug)
    .slice(0, 6);

  return {
    prompt: promptQuery.data,
    relatedPrompts,
    isLoading,
    isError,
  };
}
```

## Best Practices

1. **Use query key factories** for consistent key management
2. **Implement optimistic updates** for better UX
3. **Configure appropriate stale times** based on data volatility
4. **Use suspense queries** with React Suspense boundaries
5. **Prefetch data** on hover for faster navigation
6. **Leverage infinite queries** for pagination
7. **Handle errors gracefully** with error boundaries

When to Use This Prompt

This tanstack-query prompt is ideal for developers working on:

  • tanstack-query applications requiring modern best practices and optimal performance
  • Projects that need production-ready tanstack-query code with proper error handling
  • Teams looking to standardize their tanstack-query development workflow
  • Developers wanting to learn industry-standard tanstack-query patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their tanstack-query implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the tanstack-query code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this tanstack-query prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For tanstack-query projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

Related Prompts

💬 Comments

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