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TanStack Query v5 with Next.js App Router: The Complete Data Fetching Guide

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By AI Bot ·
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TanStack Query v5 is the gold standard for server state management in React. When combined with the Next.js App Router, it creates a powerful data layer that handles caching, background refetching, optimistic updates, and more — all with minimal boilerplate. In this tutorial, you will build a production-ready data layer from scratch.

What You'll Build

A BookShelf application — a book collection manager featuring:

  • Server-side query prefetching with Next.js App Router
  • Client-side caching and background refetching
  • Optimistic mutations for instant UI updates
  • Infinite scroll pagination
  • Dependent queries and parallel data fetching
  • Error boundaries and loading states
  • Devtools integration for debugging

Prerequisites

Before starting, ensure you have:

  • Node.js 20+ installed
  • Basic knowledge of React and TypeScript
  • Familiarity with Next.js App Router (layouts, pages, server components)
  • A code editor (VS Code recommended)
  • Basic understanding of REST APIs

Step 1: Project Setup

Create a new Next.js project with TypeScript:

npx create-next-app@latest bookshelf --typescript --tailwind --eslint --app --src-dir
cd bookshelf

Install TanStack Query v5 and related dependencies:

npm install @tanstack/react-query @tanstack/react-query-devtools
npm install zod

Your project structure should look like this:

bookshelf/
├── src/
│   ├── app/
│   │   ├── layout.tsx
│   │   ├── page.tsx
│   │   └── books/
│   ├── lib/
│   │   ├── query-client.ts
│   │   └── api.ts
│   └── components/
│       └── providers.tsx
├── package.json
└── tsconfig.json

Step 2: Configure the Query Client

The Query Client is the core of TanStack Query. It manages all query caches, defaults, and background refetching behavior.

Create src/lib/query-client.ts:

import { QueryClient, defaultShouldDehydrateQuery, isServer } from "@tanstack/react-query";
 
function makeQueryClient() {
  return new QueryClient({
    defaultOptions: {
      queries: {
        // Don't refetch on window focus in SSR
        staleTime: 60 * 1000, // 1 minute
        gcTime: 5 * 60 * 1000, // 5 minutes garbage collection
        retry: 2,
        refetchOnWindowFocus: false,
      },
      dehydrate: {
        shouldDehydrateQuery: (query) =>
          defaultShouldDehydrateQuery(query) ||
          query.state.status === "pending",
      },
    },
  });
}
 
let browserQueryClient: QueryClient | undefined = undefined;
 
export function getQueryClient() {
  if (isServer) {
    // Server: always make a new query client
    return makeQueryClient();
  } else {
    // Browser: make a new query client if we don't already have one
    if (!browserQueryClient) browserQueryClient = makeQueryClient();
    return browserQueryClient;
  }
}

Why separate server and browser clients? On the server, each request should get a fresh QueryClient to prevent data leaking between users. On the browser, we reuse the same client so the cache persists across navigations.

Step 3: Create the Providers Component

TanStack Query needs a provider wrapping your application. Create src/components/providers.tsx:

"use client";
 
import { QueryClientProvider } from "@tanstack/react-query";
import { ReactQueryDevtools } from "@tanstack/react-query-devtools";
import { getQueryClient } from "@/lib/query-client";
 
export function Providers({ children }: { children: React.ReactNode }) {
  const queryClient = getQueryClient();
 
  return (
    <QueryClientProvider client={queryClient}>
      {children}
      <ReactQueryDevtools initialIsOpen={false} />
    </QueryClientProvider>
  );
}

Update src/app/layout.tsx to use the provider:

import type { Metadata } from "next";
import { Providers } from "@/components/providers";
import "./globals.css";
 
export const metadata: Metadata = {
  title: "BookShelf - TanStack Query Demo",
  description: "A book collection manager built with TanStack Query v5",
};
 
export default function RootLayout({
  children,
}: {
  children: React.ReactNode;
}) {
  return (
    <html lang="en">
      <body>
        <Providers>{children}</Providers>
      </body>
    </html>
  );
}

Step 4: Define Types and API Layer

Create type definitions and API functions. First, create src/lib/types.ts:

import { z } from "zod";
 
export const BookSchema = z.object({
  id: z.string(),
  title: z.string(),
  author: z.string(),
  coverUrl: z.string().url(),
  description: z.string(),
  genre: z.string(),
  rating: z.number().min(0).max(5),
  publishedYear: z.number(),
  createdAt: z.string().datetime(),
});
 
export type Book = z.infer<typeof BookSchema>;
 
export const BooksResponseSchema = z.object({
  books: z.array(BookSchema),
  nextCursor: z.string().nullable(),
  totalCount: z.number(),
});
 
export type BooksResponse = z.infer<typeof BooksResponseSchema>;

Now create the API layer in src/lib/api.ts:

import type { Book, BooksResponse } from "./types";
 
const API_BASE = "/api";
 
export async function fetchBooks(params: {
  cursor?: string;
  limit?: number;
  genre?: string;
  search?: string;
}): Promise<BooksResponse> {
  const searchParams = new URLSearchParams();
  if (params.cursor) searchParams.set("cursor", params.cursor);
  if (params.limit) searchParams.set("limit", String(params.limit));
  if (params.genre) searchParams.set("genre", params.genre);
  if (params.search) searchParams.set("search", params.search);
 
  const res = await fetch(`${API_BASE}/books?${searchParams}`);
  if (!res.ok) throw new Error("Failed to fetch books");
  return res.json();
}
 
export async function fetchBook(id: string): Promise<Book> {
  const res = await fetch(`${API_BASE}/books/${id}`);
  if (!res.ok) throw new Error("Book not found");
  return res.json();
}
 
export async function createBook(
  data: Omit<Book, "id" | "createdAt">
): Promise<Book> {
  const res = await fetch(`${API_BASE}/books`, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify(data),
  });
  if (!res.ok) throw new Error("Failed to create book");
  return res.json();
}
 
export async function updateBook(
  id: string,
  data: Partial<Omit<Book, "id" | "createdAt">>
): Promise<Book> {
  const res = await fetch(`${API_BASE}/books/${id}`, {
    method: "PATCH",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify(data),
  });
  if (!res.ok) throw new Error("Failed to update book");
  return res.json();
}
 
export async function deleteBook(id: string): Promise<void> {
  const res = await fetch(`${API_BASE}/books/${id}`, {
    method: "DELETE",
  });
  if (!res.ok) throw new Error("Failed to delete book");
}

Step 5: Create Query Key Factories

One of the most important patterns in TanStack Query is organizing your query keys. Create src/lib/queries.ts:

import { queryOptions, infiniteQueryOptions } from "@tanstack/react-query";
import { fetchBooks, fetchBook } from "./api";
 
export const bookKeys = {
  all: ["books"] as const,
  lists: () => [...bookKeys.all, "list"] as const,
  list: (filters: { genre?: string; search?: string }) =>
    [...bookKeys.lists(), filters] as const,
  details: () => [...bookKeys.all, "detail"] as const,
  detail: (id: string) => [...bookKeys.details(), id] as const,
};
 
// Query options factory for a single book
export function bookQueryOptions(id: string) {
  return queryOptions({
    queryKey: bookKeys.detail(id),
    queryFn: () => fetchBook(id),
    staleTime: 5 * 60 * 1000, // 5 minutes
  });
}
 
// Infinite query options for the book list
export function booksInfiniteQueryOptions(filters: {
  genre?: string;
  search?: string;
}) {
  return infiniteQueryOptions({
    queryKey: bookKeys.list(filters),
    queryFn: ({ pageParam }) =>
      fetchBooks({
        cursor: pageParam,
        limit: 12,
        ...filters,
      }),
    initialPageParam: undefined as string | undefined,
    getNextPageParam: (lastPage) => lastPage.nextCursor,
  });
}

Query Key Factories are a pattern recommended by the TanStack team. They centralize all your query keys in one place, making cache invalidation predictable and type-safe. The hierarchical structure allows you to invalidate at any level — all books, all lists, or a specific detail.

Step 6: Server-Side Prefetching

This is where Next.js App Router and TanStack Query shine together. You can prefetch data on the server and pass it to the client without waterfalls.

Create src/app/books/page.tsx:

import { dehydrate, HydrationBoundary } from "@tanstack/react-query";
import { getQueryClient } from "@/lib/query-client";
import { booksInfiniteQueryOptions } from "@/lib/queries";
import { BookList } from "@/components/book-list";
 
interface BooksPageProps {
  searchParams: Promise<{ genre?: string; search?: string }>;
}
 
export default async function BooksPage({ searchParams }: BooksPageProps) {
  const params = await searchParams;
  const queryClient = getQueryClient();
 
  // Prefetch on the server — data is immediately available on the client
  await queryClient.prefetchInfiniteQuery(
    booksInfiniteQueryOptions({
      genre: params.genre,
      search: params.search,
    })
  );
 
  return (
    <HydrationBoundary state={dehydrate(queryClient)}>
      <div className="container mx-auto px-4 py-8">
        <h1 className="text-3xl font-bold mb-8">My BookShelf</h1>
        <BookList
          initialGenre={params.genre}
          initialSearch={params.search}
        />
      </div>
    </HydrationBoundary>
  );
}

For individual book pages, create src/app/books/[id]/page.tsx:

import { dehydrate, HydrationBoundary } from "@tanstack/react-query";
import { getQueryClient } from "@/lib/query-client";
import { bookQueryOptions } from "@/lib/queries";
import { BookDetail } from "@/components/book-detail";
 
interface BookPageProps {
  params: Promise<{ id: string }>;
}
 
export default async function BookPage({ params }: BookPageProps) {
  const { id } = await params;
  const queryClient = getQueryClient();
 
  await queryClient.prefetchQuery(bookQueryOptions(id));
 
  return (
    <HydrationBoundary state={dehydrate(queryClient)}>
      <BookDetail id={id} />
    </HydrationBoundary>
  );
}

Step 7: Build the Book List with Infinite Scroll

Create src/components/book-list.tsx:

"use client";
 
import { useInfiniteQuery } from "@tanstack/react-query";
import { useInView } from "react-intersection-observer";
import { useEffect, useState } from "react";
import { booksInfiniteQueryOptions } from "@/lib/queries";
import { BookCard } from "./book-card";
 
interface BookListProps {
  initialGenre?: string;
  initialSearch?: string;
}
 
export function BookList({ initialGenre, initialSearch }: BookListProps) {
  const [genre, setGenre] = useState(initialGenre);
  const [search, setSearch] = useState(initialSearch ?? "");
  const { ref, inView } = useInView();
 
  const {
    data,
    fetchNextPage,
    hasNextPage,
    isFetchingNextPage,
    isLoading,
    isError,
    error,
  } = useInfiniteQuery(booksInfiniteQueryOptions({ genre, search }));
 
  // Auto-fetch next page when scroll sentinel is visible
  useEffect(() => {
    if (inView && hasNextPage && !isFetchingNextPage) {
      fetchNextPage();
    }
  }, [inView, hasNextPage, isFetchingNextPage, fetchNextPage]);
 
  const books = data?.pages.flatMap((page) => page.books) ?? [];
  const totalCount = data?.pages[0]?.totalCount ?? 0;
 
  if (isError) {
    return (
      <div className="text-red-500 p-4 rounded-lg bg-red-50">
        Error loading books: {error.message}
      </div>
    );
  }
 
  return (
    <div>
      {/* Search and Filter Bar */}
      <div className="flex gap-4 mb-6">
        <input
          type="text"
          placeholder="Search books..."
          value={search}
          onChange={(e) => setSearch(e.target.value)}
          className="flex-1 px-4 py-2 border rounded-lg"
        />
        <select
          value={genre ?? ""}
          onChange={(e) => setGenre(e.target.value || undefined)}
          className="px-4 py-2 border rounded-lg"
        >
          <option value="">All Genres</option>
          <option value="fiction">Fiction</option>
          <option value="non-fiction">Non-Fiction</option>
          <option value="sci-fi">Sci-Fi</option>
          <option value="biography">Biography</option>
        </select>
      </div>
 
      {/* Results count */}
      <p className="text-sm text-gray-500 mb-4">
        Showing {books.length} of {totalCount} books
      </p>
 
      {/* Book Grid */}
      {isLoading ? (
        <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
          {Array.from({ length: 6 }).map((_, i) => (
            <div key={i} className="animate-pulse bg-gray-200 rounded-lg h-64" />
          ))}
        </div>
      ) : (
        <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
          {books.map((book) => (
            <BookCard key={book.id} book={book} />
          ))}
        </div>
      )}
 
      {/* Infinite scroll sentinel */}
      <div ref={ref} className="h-10 mt-4">
        {isFetchingNextPage && (
          <p className="text-center text-gray-500">Loading more books...</p>
        )}
      </div>
    </div>
  );
}

Step 8: Optimistic Mutations

Optimistic updates make your app feel instant by updating the UI before the server responds. Create src/hooks/use-book-mutations.ts:

"use client";
 
import { useMutation, useQueryClient } from "@tanstack/react-query";
import { createBook, updateBook, deleteBook } from "@/lib/api";
import { bookKeys } from "@/lib/queries";
import type { Book } from "@/lib/types";
 
export function useCreateBook() {
  const queryClient = useQueryClient();
 
  return useMutation({
    mutationFn: createBook,
    onSuccess: () => {
      // Invalidate all book lists to refetch with the new book
      queryClient.invalidateQueries({ queryKey: bookKeys.lists() });
    },
  });
}
 
export function useUpdateBook(id: string) {
  const queryClient = useQueryClient();
 
  return useMutation({
    mutationFn: (data: Partial<Omit<Book, "id" | "createdAt">>) =>
      updateBook(id, data),
 
    // Optimistic update
    onMutate: async (newData) => {
      // Cancel any outgoing refetches
      await queryClient.cancelQueries({ queryKey: bookKeys.detail(id) });
 
      // Snapshot the previous value
      const previousBook = queryClient.getQueryData(bookKeys.detail(id));
 
      // Optimistically update the cache
      queryClient.setQueryData(bookKeys.detail(id), (old: Book | undefined) =>
        old ? { ...old, ...newData } : old
      );
 
      return { previousBook };
    },
 
    // If the mutation fails, roll back to the previous value
    onError: (_err, _newData, context) => {
      if (context?.previousBook) {
        queryClient.setQueryData(bookKeys.detail(id), context.previousBook);
      }
    },
 
    // Always refetch after error or success
    onSettled: () => {
      queryClient.invalidateQueries({ queryKey: bookKeys.detail(id) });
      queryClient.invalidateQueries({ queryKey: bookKeys.lists() });
    },
  });
}
 
export function useDeleteBook() {
  const queryClient = useQueryClient();
 
  return useMutation({
    mutationFn: deleteBook,
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: bookKeys.lists() });
    },
  });
}

The optimistic update pattern follows three steps: (1) cancel outgoing queries, (2) snapshot the old data and apply the update immediately, (3) roll back on error. This gives users instant feedback while keeping data consistent.

Step 9: Dependent and Parallel Queries

Sometimes you need to fetch data that depends on other data. Create src/hooks/use-book-with-reviews.ts:

"use client";
 
import { useQuery, useQueries } from "@tanstack/react-query";
import { bookQueryOptions } from "@/lib/queries";
 
async function fetchReviews(bookId: string) {
  const res = await fetch(`/api/books/${bookId}/reviews`);
  if (!res.ok) throw new Error("Failed to fetch reviews");
  return res.json();
}
 
async function fetchRelatedBooks(genre: string) {
  const res = await fetch(`/api/books?genre=${genre}&limit=4`);
  if (!res.ok) throw new Error("Failed to fetch related books");
  return res.json();
}
 
// Dependent query: reviews load after book data is available
export function useBookWithReviews(bookId: string) {
  const bookQuery = useQuery(bookQueryOptions(bookId));
 
  const reviewsQuery = useQuery({
    queryKey: ["books", bookId, "reviews"],
    queryFn: () => fetchReviews(bookId),
    // Only fetch reviews once the book data is available
    enabled: !!bookQuery.data,
  });
 
  return { bookQuery, reviewsQuery };
}
 
// Parallel queries: fetch multiple independent resources at once
export function useBookPageData(bookId: string) {
  const results = useQueries({
    queries: [
      bookQueryOptions(bookId),
      {
        queryKey: ["books", bookId, "reviews"],
        queryFn: () => fetchReviews(bookId),
      },
    ],
  });
 
  return {
    book: results[0],
    reviews: results[1],
  };
}

Step 10: Search with Debounced Queries

For search functionality, you want to debounce API calls. Create src/hooks/use-debounced-search.ts:

"use client";
 
import { useQuery } from "@tanstack/react-query";
import { useState, useDeferredValue } from "react";
import { fetchBooks } from "@/lib/api";
 
export function useDebouncedBookSearch() {
  const [search, setSearch] = useState("");
  const deferredSearch = useDeferredValue(search);
 
  const query = useQuery({
    queryKey: ["books", "search", deferredSearch],
    queryFn: () => fetchBooks({ search: deferredSearch, limit: 10 }),
    enabled: deferredSearch.length >= 2,
    placeholderData: (previousData) => previousData, // Keep old data visible
  });
 
  return {
    search,
    setSearch,
    isStale: search !== deferredSearch,
    ...query,
  };
}

This uses React 19's useDeferredValue instead of a manual debounce timer. The placeholderData option keeps previous results visible while loading, preventing layout shifts.

Step 11: Error Handling and Retry Strategies

Create a robust error boundary. Create src/components/query-error-boundary.tsx:

"use client";
 
import { QueryErrorResetBoundary } from "@tanstack/react-query";
import { ErrorBoundary } from "react-error-boundary";
 
interface QueryErrorBoundaryProps {
  children: React.ReactNode;
}
 
export function QueryErrorBoundary({ children }: QueryErrorBoundaryProps) {
  return (
    <QueryErrorResetBoundary>
      {({ reset }) => (
        <ErrorBoundary
          onReset={reset}
          fallbackRender={({ resetErrorBoundary, error }) => (
            <div className="p-6 rounded-lg bg-red-50 border border-red-200">
              <h3 className="text-lg font-semibold text-red-800 mb-2">
                Something went wrong
              </h3>
              <p className="text-red-600 mb-4">{error.message}</p>
              <button
                onClick={resetErrorBoundary}
                className="px-4 py-2 bg-red-600 text-white rounded-lg hover:bg-red-700"
              >
                Try again
              </button>
            </div>
          )}
        >
          {children}
        </ErrorBoundary>
      )}
    </QueryErrorResetBoundary>
  );
}

You can customize retry behavior per-query:

useQuery({
  queryKey: ["critical-data"],
  queryFn: fetchCriticalData,
  retry: (failureCount, error) => {
    // Don't retry on 404s
    if (error instanceof Error && error.message.includes("not found")) {
      return false;
    }
    // Retry up to 3 times for other errors
    return failureCount < 3;
  },
  retryDelay: (attemptIndex) => Math.min(1000 * 2 ** attemptIndex, 30000),
});

Step 12: Query Invalidation Patterns

Understanding when and how to invalidate queries is critical. Here are the key patterns:

const queryClient = useQueryClient();
 
// 1. Invalidate everything
queryClient.invalidateQueries();
 
// 2. Invalidate all books (lists + details)
queryClient.invalidateQueries({ queryKey: bookKeys.all });
 
// 3. Invalidate only book lists
queryClient.invalidateQueries({ queryKey: bookKeys.lists() });
 
// 4. Invalidate a specific list with filters
queryClient.invalidateQueries({
  queryKey: bookKeys.list({ genre: "fiction" }),
});
 
// 5. Invalidate a single book detail
queryClient.invalidateQueries({ queryKey: bookKeys.detail("book-123") });
 
// 6. Remove a query from cache entirely
queryClient.removeQueries({ queryKey: bookKeys.detail("deleted-book") });
 
// 7. Prefetch data for a likely navigation
queryClient.prefetchQuery(bookQueryOptions("likely-next-book-id"));

Pro tip: Use invalidateQueries for most cases — it marks data as stale and refetches in the background. Use removeQueries only when the data should no longer exist (like after deleting a resource). Use setQueryData for optimistic updates where you know the new value.

Step 13: API Route Handlers

Create the API routes to power your application. Create src/app/api/books/route.ts:

import { NextRequest, NextResponse } from "next/server";
 
// In-memory store for demo purposes
const books = new Map<string, any>();
 
// Seed some data
const genres = ["fiction", "non-fiction", "sci-fi", "biography"];
for (let i = 1; i <= 50; i++) {
  const id = `book-${i}`;
  books.set(id, {
    id,
    title: `Book Title ${i}`,
    author: `Author ${i}`,
    coverUrl: `https://picsum.photos/seed/${id}/300/400`,
    description: `A fascinating book about topic ${i}.`,
    genre: genres[i % genres.length],
    rating: Math.round((Math.random() * 4 + 1) * 10) / 10,
    publishedYear: 2020 + (i % 7),
    createdAt: new Date().toISOString(),
  });
}
 
export async function GET(request: NextRequest) {
  const searchParams = request.nextUrl.searchParams;
  const cursor = searchParams.get("cursor");
  const limit = parseInt(searchParams.get("limit") ?? "12");
  const genre = searchParams.get("genre");
  const search = searchParams.get("search");
 
  let allBooks = Array.from(books.values());
 
  // Filter by genre
  if (genre) {
    allBooks = allBooks.filter((b) => b.genre === genre);
  }
 
  // Filter by search
  if (search) {
    const lowerSearch = search.toLowerCase();
    allBooks = allBooks.filter(
      (b) =>
        b.title.toLowerCase().includes(lowerSearch) ||
        b.author.toLowerCase().includes(lowerSearch)
    );
  }
 
  // Pagination
  const startIndex = cursor
    ? allBooks.findIndex((b) => b.id === cursor) + 1
    : 0;
  const paginated = allBooks.slice(startIndex, startIndex + limit);
  const nextCursor =
    startIndex + limit < allBooks.length
      ? allBooks[startIndex + limit - 1]?.id
      : null;
 
  return NextResponse.json({
    books: paginated,
    nextCursor,
    totalCount: allBooks.length,
  });
}
 
export async function POST(request: NextRequest) {
  const data = await request.json();
  const id = `book-${Date.now()}`;
  const book = {
    ...data,
    id,
    createdAt: new Date().toISOString(),
  };
  books.set(id, book);
  return NextResponse.json(book, { status: 201 });
}

Testing Your Implementation

Run the development server:

npm run dev

Open the TanStack Query Devtools (the floating icon in the bottom-right corner) to inspect:

  1. Active queries — See all current queries and their state
  2. Cache entries — Inspect cached data
  3. Query timeline — Watch fetch/refetch patterns
  4. Stale/fresh indicators — Understand your staleTime settings

Test the following scenarios:

  • Navigate between pages — Notice how data is cached and instantly available on return
  • Filter by genre — Watch new queries fire while cached results stay available
  • Edit a book — See the optimistic update happen instantly, then confirm with the server
  • Go offline — Cached data remains available, mutations queue until reconnection

Troubleshooting

Common issues and solutions:

Hydration mismatch errors Make sure your getQueryClient() returns the same client on the browser but a new one on the server. The pattern in Step 2 handles this correctly.

Queries refetching too often Increase staleTime in your query options. A value of 0 (the default) means data is immediately stale and will refetch on every component mount.

Infinite scroll not working Ensure getNextPageParam returns undefined (not null) when there are no more pages. TanStack Query checks for undefined specifically.

Data not updating after mutation Make sure your invalidateQueries call uses the correct query key scope. Use the query key factory pattern to keep keys consistent.

Next Steps

Now that you have a solid foundation with TanStack Query v5 and Next.js:

  • Add Suspense support — Use useSuspenseQuery for a more declarative loading pattern
  • Implement offline support — Use @tanstack/query-persist-client-core to persist cache to localStorage
  • Add WebSocket subscriptions — Combine TanStack Query with real-time data sources
  • Explore query cancellation — Use AbortSignal to cancel in-flight requests
  • Build a mutation queue — Handle offline mutations that sync when connection returns

Conclusion

TanStack Query v5 transforms how you handle server state in Next.js applications. By combining server-side prefetching with client-side caching, you get the best of both worlds: fast initial loads and instant subsequent navigations. The query key factory pattern keeps your cache invalidation predictable, while optimistic mutations make your UI feel responsive.

The key takeaways:

  1. Separate server and browser query clients to prevent data leaks
  2. Use HydrationBoundary to transfer server-prefetched data to the client
  3. Organize query keys with factory functions for predictable invalidation
  4. Implement optimistic updates for mutations that need instant feedback
  5. Leverage infinite queries for paginated lists with automatic loading

TanStack Query is not just a data fetching library — it is a complete server state management solution that reduces boilerplate, prevents bugs, and makes your app significantly faster.

Want to read more tutorials? Check out our latest tutorial on 14 Laravel 11 Basics: Error Handling.
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