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TanStack Router Patterns

TanStack Router Patterns

Master TanStack Router patterns for Google Antigravity IDE type-safe routing

TanStack RouterRoutingTypeScriptReact
by Antigravity AI
⭐0Stars
.antigravity
# TanStack Router Patterns for Google Antigravity IDE

Build type-safe routing with TanStack Router using Google Antigravity IDE. This guide covers route definitions, loaders, search params, navigation guards, and code splitting patterns.

## Root Route Setup

```typescript
// src/routes/__root.tsx
import { createRootRouteWithContext, Outlet } from "@tanstack/react-router";
import type { QueryClient } from "@tanstack/react-query";

interface RouterContext {
  queryClient: QueryClient;
  auth: { isAuthenticated: boolean; user?: User };
}

export const Route = createRootRouteWithContext<RouterContext>()({
  component: RootComponent,
  notFoundComponent: NotFound,
  errorComponent: ErrorBoundary,
});

function RootComponent() {
  return (
    <>
      <Header />
      <main><Outlet /></main>
      <Footer />
    </>
  );
}
```

## Route with Data Loading

```typescript
// src/routes/posts/$postId.tsx
import { createFileRoute, notFound } from "@tanstack/react-router";
import { z } from "zod";

const postSearchSchema = z.object({
  showComments: z.boolean().default(true),
  commentSort: z.enum(["newest", "oldest", "popular"]).default("newest"),
});

export const Route = createFileRoute("/posts/$postId")({
  validateSearch: postSearchSchema,
  loaderDeps: ({ search }) => ({ showComments: search.showComments }),
  loader: async ({ params, context, deps }) => {
    const post = await context.queryClient.ensureQueryData({
      queryKey: ["posts", params.postId],
      queryFn: () => getPost(params.postId),
      staleTime: 1000 * 60 * 5,
    });

    if (!post) throw notFound();

    const comments = deps.showComments
      ? await context.queryClient.ensureQueryData({
          queryKey: ["posts", params.postId, "comments"],
          queryFn: () => getComments(params.postId),
        })
      : null;

    return { post, comments };
  },
  head: ({ loaderData }) => ({
    meta: [
      { title: loaderData?.post.title },
      { name: "description", content: loaderData?.post.excerpt },
    ],
  }),
  component: PostPage,
  pendingComponent: PostSkeleton,
});

function PostPage() {
  const { post, comments } = Route.useLoaderData();
  const { showComments, commentSort } = Route.useSearch();
  const navigate = Route.useNavigate();

  const toggleComments = () => {
    navigate({ search: (prev) => ({ ...prev, showComments: !prev.showComments }) });
  };

  return (
    <article>
      <h1>{post.title}</h1>
      <div dangerouslySetInnerHTML={{ __html: post.content }} />
      <button onClick={toggleComments}>{showComments ? "Hide" : "Show"} Comments</button>
      {showComments && comments && <CommentSection comments={comments} sort={commentSort} />}
    </article>
  );
}
```

## Protected Routes

```typescript
// src/routes/_authenticated.tsx
import { createFileRoute, redirect, Outlet } from "@tanstack/react-router";

export const Route = createFileRoute("/_authenticated")({
  beforeLoad: async ({ context, location }) => {
    if (!context.auth.isAuthenticated) {
      throw redirect({
        to: "/login",
        search: { redirect: location.href },
      });
    }
  },
  component: () => <Outlet />,
});
```

## Type-Safe Navigation

```typescript
// src/components/Navigation.tsx
import { Link, useNavigate } from "@tanstack/react-router";

function Navigation() {
  const navigate = useNavigate();

  return (
    <nav>
      <Link to="/" activeProps={{ className: "active" }}>Home</Link>
      <Link to="/posts/$postId" params={{ postId: "123" }} search={{ showComments: true }}>
        View Post
      </Link>
      <Link to="/dashboard" preload="intent" preloadDelay={100}>Dashboard</Link>
      <button onClick={() => navigate({ to: "/settings" })}>Settings</button>
    </nav>
  );
}
```

## Best Practices for Google Antigravity IDE

When using TanStack Router with Google Antigravity, define route trees for full type safety. Use loaders for data fetching with React Query. Implement search param validation with Zod. Create layout routes for shared UI. Let Gemini 3 generate route definitions from your page structure.

Google Antigravity excels at scaffolding type-safe routing with proper data loading patterns.

When to Use This Prompt

This TanStack Router prompt is ideal for developers working on:

  • TanStack Router applications requiring modern best practices and optimal performance
  • Projects that need production-ready TanStack Router code with proper error handling
  • Teams looking to standardize their tanstack router development workflow
  • Developers wanting to learn industry-standard TanStack Router 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 router 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 Router 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 Router 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 Router projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

Related Prompts

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