Build predictable application logic with XState state machines and statecharts in Google Antigravity
# XState State Machine Patterns for Google Antigravity
State machines provide predictable, debuggable application logic. This guide covers XState implementation patterns optimized for Google Antigravity IDE with Gemini 3 assistance.
## Core State Machine Configuration
```typescript
// machines/authMachine.ts
import { createMachine, assign } from 'xstate';
interface AuthContext {
user: User | null;
error: string | null;
attempts: number;
lastAttempt: Date | null;
}
type AuthEvent =
| { type: 'LOGIN'; email: string; password: string }
| { type: 'LOGOUT' }
| { type: 'REFRESH_TOKEN' }
| { type: 'SESSION_EXPIRED' }
| { type: 'RETRY' };
export const authMachine = createMachine({
id: 'auth',
initial: 'idle',
context: {
user: null,
error: null,
attempts: 0,
lastAttempt: null,
} as AuthContext,
states: {
idle: {
on: {
LOGIN: {
target: 'authenticating',
actions: assign({
attempts: (ctx) => ctx.attempts + 1,
lastAttempt: () => new Date(),
error: null,
}),
},
},
},
authenticating: {
invoke: {
id: 'loginService',
src: 'login',
onDone: {
target: 'authenticated',
actions: assign({
user: (_, event) => event.data.user,
attempts: 0,
error: null,
}),
},
onError: {
target: 'error',
actions: assign({
error: (_, event) => event.data.message,
}),
},
},
},
authenticated: {
entry: ['notifyLoginSuccess', 'startSessionTimer'],
exit: ['clearSessionTimer'],
on: {
LOGOUT: {
target: 'idle',
actions: assign({ user: null }),
},
SESSION_EXPIRED: 'refreshing',
REFRESH_TOKEN: 'refreshing',
},
},
refreshing: {
invoke: {
id: 'refreshService',
src: 'refreshToken',
onDone: {
target: 'authenticated',
actions: assign({
user: (_, event) => event.data.user,
}),
},
onError: {
target: 'idle',
actions: assign({
user: null,
error: (_, event) => event.data.message,
}),
},
},
},
error: {
on: {
RETRY: [
{
target: 'idle',
cond: 'canRetry',
},
{
target: 'locked',
},
],
},
},
locked: {
after: {
LOCKOUT_DURATION: 'idle',
},
},
},
}, {
guards: {
canRetry: (context) => context.attempts < 3,
},
delays: {
LOCKOUT_DURATION: 30000,
},
services: {
login: async (_, event) => {
const response = await fetch('/api/auth/login', {
method: 'POST',
body: JSON.stringify({ email: event.email, password: event.password }),
});
if (!response.ok) throw new Error('Authentication failed');
return response.json();
},
refreshToken: async () => {
const response = await fetch('/api/auth/refresh', { method: 'POST' });
if (!response.ok) throw new Error('Token refresh failed');
return response.json();
},
},
actions: {
notifyLoginSuccess: () => console.log('Login successful'),
startSessionTimer: () => {},
clearSessionTimer: () => {},
},
});
```
## React Integration with Hooks
```typescript
// hooks/useAuthMachine.ts
import { useMachine } from '@xstate/react';
import { authMachine } from '../machines/authMachine';
import { useEffect } from 'react';
export function useAuth() {
const [state, send, service] = useMachine(authMachine, {
devTools: process.env.NODE_ENV === 'development',
});
useEffect(() => {
const subscription = service.subscribe((state) => {
console.log('Auth state:', state.value);
});
return subscription.unsubscribe;
}, [service]);
return {
state: state.value,
user: state.context.user,
error: state.context.error,
isAuthenticated: state.matches('authenticated'),
isLoading: state.matches('authenticating') || state.matches('refreshing'),
isLocked: state.matches('locked'),
login: (email: string, password: string) =>
send({ type: 'LOGIN', email, password }),
logout: () => send({ type: 'LOGOUT' }),
retry: () => send({ type: 'RETRY' }),
};
}
```
## Complex Form State Machine
```typescript
// machines/formMachine.ts
import { createMachine, assign } from 'xstate';
export const formMachine = createMachine({
id: 'form',
initial: 'editing',
context: {
values: {},
errors: {},
touched: {},
isValid: false,
submitCount: 0,
},
states: {
editing: {
on: {
CHANGE: {
actions: ['updateValue', 'validateField'],
},
BLUR: {
actions: ['markTouched', 'validateField'],
},
SUBMIT: [
{ target: 'submitting', cond: 'isFormValid' },
{ actions: 'validateAll' },
],
},
},
submitting: {
invoke: {
src: 'submitForm',
onDone: 'success',
onError: {
target: 'editing',
actions: 'setSubmitError',
},
},
},
success: {
type: 'final',
entry: 'notifySuccess',
},
},
});
```
## Best Practices
1. **Visualize First**: Use XState Visualizer to design state machines before coding
2. **Keep Context Minimal**: Store only essential data in machine context
3. **Type Everything**: Leverage TypeScript for event and context type safety
4. **Test States**: Write tests for each state transition path
5. **Use Guards**: Implement conditional transitions with guard functions
6. **Spawn Actors**: Use actor model for parallel processes
Google Antigravity's Gemini 3 excels at understanding complex state logic and can generate XState machines from natural language descriptions of your application flow.This 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.