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Finite State Machine Patterns

Finite State Machine Patterns

Build predictable applications with XState finite state machines in Google Antigravity projects for complex UI flows and business logic.

xstatestate-machinereacttypescriptarchitecture
by antigravity-team
⭐0Stars
.antigravity
# Finite State Machine Patterns

Build predictable, maintainable applications with finite state machines in your Google Antigravity projects. This guide covers state machine fundamentals, complex flows, and React integration patterns.

## Basic State Machine

Create a simple state machine for a toggle:

```typescript
// machines/toggleMachine.ts
import { createMachine, assign } from "xstate";

export const toggleMachine = createMachine({
  id: "toggle",
  initial: "inactive",
  context: {
    count: 0,
  },
  states: {
    inactive: {
      on: {
        TOGGLE: {
          target: "active",
          actions: assign({
            count: ({ context }) => context.count + 1,
          }),
        },
      },
    },
    active: {
      on: {
        TOGGLE: "inactive",
      },
    },
  },
});
```

## Multi-Step Form Machine

Manage complex form flows with state machines:

```typescript
// machines/checkoutMachine.ts
import { createMachine, assign } from "xstate";

interface CheckoutContext {
  shippingAddress: ShippingAddress | null;
  paymentMethod: PaymentMethod | null;
  items: CartItem[];
  error: string | null;
}

type CheckoutEvent =
  | { type: "NEXT" }
  | { type: "BACK" }
  | { type: "SET_SHIPPING"; address: ShippingAddress }
  | { type: "SET_PAYMENT"; method: PaymentMethod }
  | { type: "SUBMIT" }
  | { type: "RETRY" };

export const checkoutMachine = createMachine({
  id: "checkout",
  initial: "cart",
  context: {
    shippingAddress: null,
    paymentMethod: null,
    items: [],
    error: null,
  } as CheckoutContext,
  states: {
    cart: {
      on: {
        NEXT: {
          target: "shipping",
          guard: ({ context }) => context.items.length > 0,
        },
      },
    },
    shipping: {
      on: {
        SET_SHIPPING: {
          actions: assign({
            shippingAddress: ({ event }) => event.address,
          }),
        },
        NEXT: {
          target: "payment",
          guard: ({ context }) => context.shippingAddress !== null,
        },
        BACK: "cart",
      },
    },
    payment: {
      on: {
        SET_PAYMENT: {
          actions: assign({
            paymentMethod: ({ event }) => event.method,
          }),
        },
        NEXT: {
          target: "review",
          guard: ({ context }) => context.paymentMethod !== null,
        },
        BACK: "shipping",
      },
    },
    review: {
      on: {
        SUBMIT: "processing",
        BACK: "payment",
      },
    },
    processing: {
      invoke: {
        src: "submitOrder",
        onDone: "success",
        onError: {
          target: "error",
          actions: assign({
            error: ({ event }) => event.error.message,
          }),
        },
      },
    },
    success: {
      type: "final",
    },
    error: {
      on: {
        RETRY: "processing",
        BACK: "review",
      },
    },
  },
});
```

## React Integration

Use state machines in React components:

```typescript
// components/CheckoutFlow.tsx
"use client";

import { useMachine } from "@xstate/react";
import { checkoutMachine } from "@/machines/checkoutMachine";

export function CheckoutFlow() {
  const [state, send] = useMachine(checkoutMachine, {
    services: {
      submitOrder: async ({ context }) => {
        const response = await fetch("/api/orders", {
          method: "POST",
          body: JSON.stringify({
            items: context.items,
            shipping: context.shippingAddress,
            payment: context.paymentMethod,
          }),
        });
        if (!response.ok) throw new Error("Order failed");
        return response.json();
      },
    },
  });

  const renderStep = () => {
    switch (true) {
      case state.matches("cart"):
        return <CartStep onNext={() => send({ type: "NEXT" })} />;
      case state.matches("shipping"):
        return (
          <ShippingStep
            onSubmit={(address) => {
              send({ type: "SET_SHIPPING", address });
              send({ type: "NEXT" });
            }}
            onBack={() => send({ type: "BACK" })}
          />
        );
      case state.matches("processing"):
        return <ProcessingStep />;
      case state.matches("success"):
        return <SuccessStep />;
    }
  };

  return (
    <div className="max-w-2xl mx-auto">
      <ProgressBar currentStep={state.value as string} />
      {renderStep()}
    </div>
  );
}
```

## Authentication Machine

Manage authentication flows:

```typescript
// machines/authMachine.ts
import { createMachine, assign } from "xstate";

export const authMachine = createMachine({
  id: "auth",
  initial: "checking",
  context: {
    user: null,
    error: null,
  },
  states: {
    checking: {
      invoke: {
        src: "checkSession",
        onDone: {
          target: "authenticated",
          actions: assign({ user: ({ event }) => event.output }),
        },
        onError: "unauthenticated",
      },
    },
    unauthenticated: {
      on: {
        LOGIN: "loggingIn",
        SIGNUP: "signingUp",
      },
    },
    loggingIn: {
      invoke: {
        src: "login",
        onDone: {
          target: "authenticated",
          actions: assign({ user: ({ event }) => event.output }),
        },
        onError: {
          target: "unauthenticated",
          actions: assign({ error: ({ event }) => event.error.message }),
        },
      },
    },
    authenticated: {
      on: {
        LOGOUT: "loggingOut",
      },
    },
    loggingOut: {
      invoke: {
        src: "logout",
        onDone: {
          target: "unauthenticated",
          actions: assign({ user: null }),
        },
      },
    },
  },
});
```

## Best Practices

1. **Explicit States**: Model all possible states explicitly
2. **Guard Conditions**: Use guards to validate transitions
3. **Side Effects**: Handle async operations with invoke
4. **Context Updates**: Use assign for context mutations
5. **TypeScript**: Define context and event types for type safety
6. **Visualization**: Use XState visualizer during development

When to Use This Prompt

This xstate prompt is ideal for developers working on:

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

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