Build predictable applications with XState finite state machines in Google Antigravity projects for complex UI flows and business logic.
# 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 developmentThis xstate prompt is ideal for developers working on:
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.
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.
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.
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.