ShadCN is a modern UI component collection built with accessibility and customization in mind. It leverages Radix UI primitives and Tailwind CSS for design consistency and flexibility.
Example: A React button styled with Tailwind:
<button className="bg-blue-500 text-white px-4 py-2 rounded">
Click Me
</button>
Output (simulated):
It offers pre-built, customizable UI components that integrate perfectly with Tailwind and React projects.
Example:
<div className="p-4 bg-green-100 rounded">
ShadCN helps you build faster with consistent UI.
</div>
Output:
# Initialize shadcn/ui components
npx shadcn-ui@latest init
project-root/
├── components/
│ └── ui/ # shadcn components
├── app/
├── public/
├── tailwind.config.js
Ensure tailwind.config.js includes the right file paths:
// tailwind.config.js
module.exports = {
content: [
"./app/**/*.{js,ts,jsx,tsx}",
"./components/**/*.{js,ts,jsx,tsx}"
],
theme: {
extend: {},
},
plugins: [],
}
# Add a new component like a button
npx shadcn-ui@latest add button
ShadCN includes components like:
buttoninputcardalertdialogBefore starting, ensure you have:
Use the following commands to create a new Next.js project:
# Create a new Next.js app
npx create-next-app@latest my-app
cd my-app
Install Tailwind and initialize its config files:
npm install -D tailwindcss postcss autoprefixer
npx tailwindcss init -p
Edit tailwind.config.js to include your project structure:
// tailwind.config.js
module.exports = {
content: [
"./app/**/*.{js,ts,jsx,tsx}",
"./components/**/*.{js,ts,jsx,tsx}"
],
theme: {
extend: {},
},
plugins: [],
}
Initialize ShadCN UI and add a component (e.g., a button):
npx shadcn-ui@latest init
npx shadcn-ui@latest add button
Test if the UI component is working by adding it to a page:
<import { Button } from "@/components/ui/button" />
<Button>Hello World</Button>
Output (simulated):
console.log to trace component behaviorAfter setup, remove unnecessary boilerplate code from:
pages/index.tsxstyles/globals.css (clear or replace with Tailwind base)Creates a basic clickable button using the Button component.
<Button>Click Me</Button>
Output:
An input field styled with the Input component from ShadCN.
<Input placeholder="Enter text" />
Output:
A structured card with a header and content using Card, CardHeader, and CardContent.
<Card>
<CardHeader>Title</CardHeader>
<CardContent>Details inside card</CardContent>
</Card>
Output:
Displays an alert box with a title and description using Alert components.
<Alert>
<AlertTitle>Heads up!</AlertTitle>
<AlertDescription>Something happened</AlertDescription>
</Alert>
Output:
A badge is used to highlight labels or statuses.
<Badge>New</Badge>
Output:
NewWraps a button with a tooltip that shows additional info on hover.
<Tooltip>
<TooltipTrigger><Button>Hover me</Button></TooltipTrigger>
<TooltipContent>Tooltip text</TooltipContent>
</Tooltip>
Output (simulated):
Centers content and applies horizontal margins using Tailwind's container class.
<div className="container mx-auto">
Content goes here
</div>
Output:
Creates a two-column grid with spacing between items.
<div className="grid grid-cols-2 gap-4">
<div>Item 1</div>
<div>Item 2</div>
</div>
Output:
Uses Flexbox to position items at opposite ends.
<div className="flex justify-between">
<div>Left</div>
<div>Right</div>
</div>
Output:
Adds vertical space between elements using height utilities.
<div className="h-8"></div> <!-- Adds vertical space -->
Output: (Space shown between lines)
Creates a horizontal line separator with spacing above and below.
<hr className="my-4 border-t-2" />
Output:
Creates a scrollable vertical area with fixed height.
<div className="overflow-y-scroll h-48">
<p>Lots of scrollable content...</p>
</div>
Output:
Lots of scrollable content...
More content line 2
More content line 3
More content line 4
More content line 5
More content line 6
More content line 7
More content line 8
More content line 9
An alert informs the user about an important issue or status.
<!-- Alert component example -->
<div className="bg-red-100 text-red-700 p-4 rounded">
Error occurred!
</div>
Output:
A basic button styled with Tailwind.
<!-- Button component using Tailwind -->
<button className="bg-blue-500 text-white px-4 py-2 rounded">
Click Me
</button>
Output:
Used for grouping content with some padding and shadow.
<!-- Card layout example -->
<div className="border rounded shadow p-4">
<h3>Title</h3>
<p>Card content goes here.</p>
</div>
Output:
Card content goes here.
Standard select dropdown component.
<!-- Simple dropdown menu example -->
<select className="border rounded p-2">
<option>Option 1</option>
<option>Option 2</option>
</select>
Output:
Standard text input field with placeholder.
<!-- Input component example -->
<input type="text" placeholder="Enter name" className="border p-2 rounded w-full" />
Output:
Labels provide context to form elements and improve accessibility.
<!-- Label example -->
<label className="block text-sm font-medium mb-1">Username</label>
<input type="text" className="border p-2 rounded w-full" />
Output:
Tailwind provides a default configuration which can be extended in tailwind.config.js.
// tailwind.config.js
module.exports = {
theme: {
extend: {},
}
}
Explanation: This is the basic setup for customizing the theme.
Add your own color palette by extending the default colors.
module.exports = {
theme: {
extend: {
colors: {
brand: '#1DA1F2'
}
},
},
}
Explanation: The custom color brand is now available in your utility classes as bg-brand.
Enable dark mode using the class strategy.
module.exports = {
darkMode: 'class',
}
Explanation: You can toggle dark mode using a dark class on the root element.
Use responsive prefixes like md:, lg: to apply different styles based on screen size.
<!-- Responsive margin example -->
<div className="mt-4 md:mt-8 lg:mt-12">
Responsive Margin
</div>
Explanation: Margin will increase with screen size.
Output:
Tailwind’s utility classes can style elements quickly without writing custom CSS.
<!-- Using Tailwind utility classes -->
<div className="p-4 bg-yellow-200 text-center rounded">
Styled with utilities
</div>
Explanation: This div has padding, background color, centered text, and rounded corners using Tailwind classes.
Output:
The Dialog component in ShadCN is used to display content in an overlay on top of the main UI. It is accessible and can be triggered by a button or any element.
<!-- Dialog Component Example -->
<Dialog>
<DialogTrigger><Button>Open Dialog</Button></DialogTrigger>
<DialogContent>
<DialogTitle>Dialog Title</DialogTitle>
<DialogDescription>This is the content inside the dialog.</DialogDescription>
</DialogContent>
</Dialog>
Output: A button that opens a modal dialog.
Alert Dialog is used for actions that require user confirmation before proceeding, such as deletions.
<!-- Alert Dialog Example -->
<AlertDialog>
<AlertDialogTrigger><Button>Delete</Button></AlertDialogTrigger>
<AlertDialogContent>
<AlertDialogTitle>Are you absolutely sure?</AlertDialogTitle>
<AlertDialogDescription>This action cannot be undone.</AlertDialogDescription>
<AlertDialogFooter>
<Button>Cancel</Button>
<Button>Continue</Button>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>
Output: Confirmation dialog for deletion with cancel and continue options.
This is a variation of Alert Dialog used to confirm user intent before executing an action.
<!-- Confirm Dialog Example -->
<AlertDialog>
<AlertDialogTrigger><Button>Confirm Action</Button></AlertDialogTrigger>
<AlertDialogContent>
<AlertDialogTitle>Confirm Your Choice</AlertDialogTitle>
<AlertDialogDescription>Do you want to proceed?</AlertDialogDescription>
<AlertDialogFooter>
<Button>No</Button>
<Button>Yes</Button>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>
Output: Prompt for confirming a user decision.
Modals can have custom layouts using Tailwind CSS for padding, spacing, and alignment.
<!-- Modal Layout Example -->
<Dialog>
<DialogTrigger><Button>Open Layout Modal</Button></DialogTrigger>
<DialogContent className="p-6 space-y-4">
<DialogTitle>Custom Layout</DialogTitle>
<p>You can customize the padding and spacing.</p>
</DialogContent>
</Dialog>
Output: Dialog with custom padding and spacing.
Dialogs can contain buttons that trigger another dialog, useful for flows like "edit inside a modal".
<!-- Nested Dialogs Example -->
<Dialog>
<DialogTrigger><Button>Main Dialog</Button></DialogTrigger>
<DialogContent>
<DialogTitle>Main Dialog</DialogTitle>
<Dialog>
<DialogTrigger><Button>Nested Dialog</Button></DialogTrigger>
<DialogContent><DialogTitle>Nested Content</DialogTitle></DialogContent>
</Dialog>
</DialogContent>
</Dialog>
Output: Nested modal flow.
Dialogs can be closed programmatically using functions or automatically when clicking outside or pressing Esc.
<!-- Close Events Example -->
<Dialog open={isOpen} onOpenChange={setIsOpen}>
<DialogTrigger><Button>Open</Button></DialogTrigger>
<DialogContent>
<DialogTitle>Auto Close Example</DialogTitle>
<Button onClick={() => setIsOpen(false)}>Close Me</Button>
</DialogContent>
</Dialog>
Output: Dialog closes with a button or external interaction.
You can use Tailwind CSS and animation libraries to customize how dialogs animate in/out.
<!-- Custom Transitions Example -->
<Dialog>
<DialogTrigger><Button>Animate Dialog</Button></DialogTrigger>
<DialogContent className="transition-all duration-500 ease-in-out transform scale-95">
<DialogTitle>Animated Modal</DialogTitle>
</DialogContent>
</Dialog>
Output: Animated dialog with scaling effect.
Dialogs trap keyboard focus to prevent interacting with background content and support screen readers.
<!-- Focus Trap & Accessibility Example -->
<Dialog>
<DialogTrigger><Button>Open Modal</Button></DialogTrigger>
<DialogContent>
<DialogTitle>Accessible Dialog</DialogTitle>
<DialogDescription>Focus is trapped inside.</DialogDescription>
<input type="text" placeholder="Focusable input" />
</DialogContent>
</Dialog>
Output: Focus is retained inside modal until closed.
A basic form consists of form tags enclosing input elements with labels.
<!-- Basic form structure -->
<form>
<label>Name</label>
<input type="text" />
</form>
Explanation: This simple form has a label and a text input for "Name".
Output:
To handle form submission and prevent default behavior, use an event handler.
// In a React component
const handleSubmit = (e) => {
e.preventDefault();
console.log("Form Submitted");
};
Explanation: This function prevents the default form submit and logs a message.
You can require inputs to ensure users fill them in before submitting.
<!-- Required input -->
<input type="email" required />
Explanation: The "required" attribute forces the user to input a valid email.
Output:
Show error messages to users when validation fails.
<!-- Displaying error -->
<p className="text-red-500">This field is required</p>
Explanation: This paragraph shows an error in red color (example using Tailwind CSS class).
Output:
This field is required
Use proper labels and IDs for screen readers.
<!-- Use htmlFor for accessibility -->
<label htmlFor="email">Email</label>
<input id="email" type="email" />
Explanation: The htmlFor attribute links the label to the input for better accessibility.
Output:
Modals are popup dialogs that overlay the page content. They are used for user notifications, forms, or confirmations.
<!-- Button trigger modal -->
<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#exampleModal">
Launch Modal
</button>
<!-- Modal markup -->
<div class="modal fade" id="exampleModal" tabindex="-1" aria-labelledby="exampleModalLabel" aria-hidden="true">
<div class="modal-dialog">
<div class="modal-content">
<div class="modal-header">
<h5 class="modal-title" id="exampleModalLabel">Modal Title</h5>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
This is the modal content.
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
<button type="button" class="btn btn-primary">Save changes</button>
</div>
</div>
</div>
</div>
Output: Clicking the "Launch Modal" button opens a centered popup with a title, body text, and footer buttons for "Close" and "Save changes".
Tabs allow content to be organized in separate panes where users can switch views without navigating away.
<!-- Tabs navigation -->
<ul class="nav nav-tabs" id="myTab" role="tablist">
<li class="nav-item" role="presentation">
<button class="nav-link active" id="home-tab" data-bs-toggle="tab" data-bs-target="#home" type="button" role="tab" aria-controls="home" aria-selected="true">Home</button>
</li>
<li class="nav-item" role="presentation">
<button class="nav-link" id="profile-tab" data-bs-toggle="tab" data-bs-target="#profile" type="button" role="tab" aria-controls="profile" aria-selected="false">Profile</button>
</li>
</ul>
<!-- Tabs content -->
<div class="tab-content" id="myTabContent">
<div class="tab-pane fade show active" id="home" role="tabpanel" aria-labelledby="home-tab">
Home tab content.
</div>
<div class="tab-pane fade" id="profile" role="tabpanel" aria-labelledby="profile-tab">
Profile tab content.
</div>
</div>
Output: Two tabs labeled "Home" and "Profile". Clicking each tab toggles between respective content areas without page reload.
Tooltips display brief contextual information when users hover over or focus on an element.
<!-- Tooltip trigger button -->
<button type="button" class="btn btn-secondary" data-bs-toggle="tooltip" data-bs-placement="top" title="Tooltip on top">
Hover me
</button>
<!-- Enable tooltip with JavaScript -->
<script>
var tooltipTriggerList = [].slice.call(document.querySelectorAll('[data-bs-toggle="tooltip"]'))
var tooltipList = tooltipTriggerList.map(function (tooltipTriggerEl) {
return new bootstrap.Tooltip(tooltipTriggerEl)
})
</script>
Output: Hovering over the button shows a small tooltip box above it with the text "Tooltip on top".
Toasts are lightweight notifications that appear temporarily, usually at the bottom or corner of the screen.
<!-- Toast container -->
<div class="toast-container position-fixed bottom-0 end-0 p-3">
<div id="liveToast" class="toast" role="alert" aria-live="assertive" aria-atomic="true">
<div class="toast-header">
<strong class="me-auto">Bootstrap</strong>
<small>11 mins ago</small>
<button type="button" class="btn-close" data-bs-dismiss="toast" aria-label="Close"></button>
</div>
<div class="toast-body">
Hello, this is a toast message.
</div>
</div>
</div>
<!-- Show toast with JS -->
<script>
var toastEl = document.getElementById('liveToast')
var toast = new bootstrap.Toast(toastEl)
toast.show()
</script>
Output: A small notification toast appears in the bottom-right corner with a header and message, then can be dismissed.
Popovers are like tooltips but can contain more content such as headings and paragraphs.
<!-- Popover trigger button -->
<button type="button" class="btn btn-secondary" data-bs-toggle="popover" title="Popover title" data-bs-content="This is the popover content.">
Click me
</button>
<!-- Enable popover with JS -->
<script>
var popoverTriggerList = [].slice.call(document.querySelectorAll('[data-bs-toggle="popover"]'))
var popoverList = popoverTriggerList.map(function (popoverTriggerEl) {
return new bootstrap.Popover(popoverTriggerEl)
})
</script>
Output: Clicking the button shows a small popup box with a title and detailed content.
A navbar provides a consistent navigation header for your website or app. Bootstrap makes it easy to build responsive navbars.
<!-- Basic navbar using Bootstrap -->
<nav class="navbar navbar-expand-lg navbar-light bg-light">
<a class="navbar-brand" href="#">Navbar</a>
</nav>
Explanation: This creates a light-themed, expandable navbar with a brand link.
Output:
Bootstrap’s grid system allows you to create responsive layouts with rows and columns.
<!-- Bootstrap grid layout -->
<div class="row">
<div class="col">1 of 2</div>
<div class="col">2 of 2</div>
</div>
Explanation: Creates a row with two equal-width columns that stack on small screens.
Output:
Flexbox is a powerful layout tool for distributing space and aligning items in a container.
<!-- Flex container -->
<div class="d-flex justify-content-between">
<div>Item 1</div>
<div>Item 2</div>
</div>
Explanation: This flex container distributes two items with space between them.
Output:
Bootstrap provides utility classes for margin and padding to control spacing easily.
<!-- Using spacing utilities -->
<div class="m-3 p-3 border">Spacing applied</div>
Explanation: Adds margin and padding around the div with a border for visibility.
Output:
ARIA (Accessible Rich Internet Applications) attributes help improve accessibility by providing additional semantic information to assistive technologies like screen readers.
<button aria-label="Close">X</button>
Explanation: The aria-label attribute gives a descriptive label to the button, so screen readers announce it properly as a "Close" button even though the visible text is just "X".
Output: A button showing "X" but read as "Close" by assistive tech.
Ensuring interactive elements are keyboard accessible is crucial for users who cannot use a mouse. The tabindex attribute controls tab order and focusability.
// Ensure tabindex is used correctly
<a href="#" tabindex="0">Focusable Link</a>
Explanation: Setting tabindex="0" makes the element focusable and included in the natural tab order.
Output: A link that can be focused and activated using keyboard tab and enter keys.
Using proper HTML5 semantic elements helps browsers and assistive technologies understand the structure and meaning of the page content.
<header>Site Header</header>
<main>Main content</main>
<footer>Footer info</footer>
Explanation: Semantic tags like <header>, <main>, and <footer> provide clear page landmarks.
Output: Properly structured webpage sections, improving readability and accessibility.
Testing your design on different screen sizes ensures it works well on all devices. Use browser developer tools to emulate devices.
// Check design on different screen sizes
// Use dev tools in browser to emulate various devices
Explanation: Most modern browsers have built-in device emulators allowing you to test responsiveness and accessibility on phones, tablets, and desktops.
Output: Ability to preview and debug responsive design in real-time without needing physical devices.
The <input> element is used to create various types of input fields such as text, email, password, etc. Bootstrap styles these inputs with form-control class for uniform styling.
<!-- Text Input -->
<input type="text" class="form-control" placeholder="Enter your name" />
<!-- Email Input -->
<input type="email" class="form-control" placeholder="Enter your email" />
Output: Two nicely styled input boxes for text and email entry with placeholders.
The <select> element allows users to pick from a list of options. Use the Bootstrap class form-select for styling.
<select class="form-select">
<option selected>Choose an option</option>
<option value="1">Option 1</option>
<option value="2">Option 2</option>
<option value="3">Option 3</option>
</select>
Output: A dropdown menu styled by Bootstrap that lets users choose one option.
Checkboxes let users select one or multiple options. Use Bootstrap’s form-check class to style them.
<div class="form-check">
<input class="form-check-input" type="checkbox" value="" id="check1" />
<label class="form-check-label" for="check1">Check this box</label>
</div>
Output: A single checkbox with a label, styled by Bootstrap.
Radio buttons allow selecting only one option from a group. Use the form-check class and ensure the name attribute is the same for grouping.
<div class="form-check">
<input class="form-check-input" type="radio" name="radioGroup" id="radio1" />
<label class="form-check-label" for="radio1">Option 1</label>
</div>
<div class="form-check">
<input class="form-check-input" type="radio" name="radioGroup" id="radio2" />
<label class="form-check-label" for="radio2">Option 2</label>
</div>
Output: Two radio buttons styled by Bootstrap allowing only one selection at a time.
Switches are styled checkboxes that look like toggle switches. Bootstrap uses form-switch class to style them.
<div class="form-check form-switch">
<input class="form-check-input" type="checkbox" id="flexSwitchCheckDefault" />
<label class="form-check-label" for="flexSwitchCheckDefault">Toggle this switch</label>
</div>
Output: A toggle switch styled by Bootstrap, can be toggled on/off.
The <textarea> element allows multi-line text input. Use Bootstrap’s form-control class to style.
<textarea class="form-control" rows="3" placeholder="Enter your message"></textarea>
Output: A multi-line text box styled by Bootstrap with placeholder text.
Theming lets you change the default colors, fonts, and styles globally. Bootstrap supports CSS variables and SASS for advanced theming.
<!-- Example: Override Bootstrap CSS variables in a style tag or CSS file -->
<style>
:root {
--bs-primary: #ff5722; /* Change primary color to a vibrant orange */
--bs-secondary: #795548; /* Change secondary color to brown */
--bs-font-sans-serif: "Comic Sans MS", cursive, sans-serif; /* Custom font */
}
</style>
<!-- Usage example -->
<button class="btn btn-primary">Primary Themed Button</button>
<button class="btn btn-secondary">Secondary Themed Button</button>
Output: Buttons appear with the new orange and brown theme colors, and the font changes globally to Comic Sans MS.
Dark mode improves readability in low-light environments. You can toggle between light and dark themes using CSS classes or variables.
<!-- Basic Dark Mode CSS -->
<style>
body.dark-mode {
background-color: #121212;
color: #e0e0e0;
}
body.dark-mode .btn-primary {
background-color: #bb86fc;
border-color: #bb86fc;
color: #121212;
}
</style>
<!-- Toggle Button -->
<button id="darkModeToggle" class="btn btn-primary">Toggle Dark Mode</button>
<script>
const toggleBtn = document.getElementById('darkModeToggle');
toggleBtn.addEventListener('click', () => {
document.body.classList.toggle('dark-mode');
});
</script>
Output: Clicking the "Toggle Dark Mode" button switches the page background and text colors to a dark theme and changes button colors accordingly.
Bootstrap utilities can be customized or extended by overriding existing classes or adding new ones in your CSS.
<!-- Example: Custom margin utility -->
<style>
.m-15px {
margin: 15px !important;
}
.p-15px {
padding: 15px !important;
}
</style>
<!-- Usage of custom utilities -->
<div class="m-15px p-15px bg-info text-white">
This div has 15px margin and padding using custom utility classes.
</div>
Output: A blue info box with white text, having 15px margin and padding around it thanks to the custom utility classes.
Icons add visual cues and enhance UI. Popular icon libraries include Font Awesome and Bootstrap Icons.
<!-- Using Bootstrap Icons CDN -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.10.5/font/bootstrap-icons.css">
<!-- Example icon usage -->
<i class="bi bi-alarm" style="font-size: 2rem; color: #007bff;"></i>
Output: A blue alarm clock icon sized 2 rem appears on the page.
Bootstrap provides styled form controls for consistent design and responsive layouts.
<form>
<div class="mb-3">
<label for="email" class="form-label">Email address</label>
<input type="email" class="form-control" id="email" placeholder="name@example.com">
</div>
<div class="mb-3">
<label for="password" class="form-label">Password</label>
<input type="password" class="form-control" id="password" placeholder="Password">
</div>
<div class="mb-3 form-check">
<input type="checkbox" class="form-check-input" id="check1">
<label class="form-check-label" for="check1">Check me out</label>
</div>
<button type="submit" class="btn btn-primary">Submit</button>
</form>
Output: A neat form with email and password inputs, a checkbox, and a submit button styled with Bootstrap.
Date pickers help users select dates visually. Bootstrap itself doesn't provide one, but libraries like Flatpickr are popular.
<!-- Include Flatpickr CSS and JS -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/flatpickr/dist/flatpickr.min.css">
<script src="https://cdn.jsdelivr.net/npm/flatpickr"></script>
<!-- Date input field -->
<input id="datepicker" type="text" placeholder="Select Date" class="form-control" />
<!-- Initialize Flatpickr -->
<script>
flatpickr("#datepicker", {
dateFormat: "Y-m-d",
minDate: "today"
})
</script>
Output: A text input that pops up a calendar widget on focus, allowing date selection starting from today onward.
Chart.js is a popular library for responsive, animated charts like bar, line, pie, etc.
<!-- Include Chart.js -->
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<!-- Canvas for chart -->
<canvas id="myChart" width="400" height="200"></canvas>
<script>
var ctx = document.getElementById('myChart').getContext('2d')
var myChart = new Chart(ctx, {
type: 'bar',
data: {
labels: ['Red', 'Blue', 'Yellow', 'Green', 'Purple', 'Orange'],
datasets: [{
label: '# of Votes',
data: [12, 19, 3, 5, 2, 3],
backgroundColor: [
'rgba(255, 99, 132, 0.2)',
'rgba(54, 162, 235, 0.2)',
'rgba(255, 206, 86, 0.2)',
'rgba(75, 192, 192, 0.2)',
'rgba(153, 102, 255, 0.2)',
'rgba(255, 159, 64, 0.2)'
],
borderColor: [
'rgba(255, 99, 132, 1)',
'rgba(54, 162, 235, 1)',
'rgba(255, 206, 86, 1)',
'rgba(75, 192, 192, 1)',
'rgba(153, 102, 255, 1)',
'rgba(255, 159, 64, 1)'
],
borderWidth: 1
}]
},
options: {
scales: {
y: {
beginAtZero: true
}
}
}
})
</script>
Output: A colorful bar chart displays the number of votes for six categories with animations and tooltips on hover.
CLI:
npx create-react-app my-app
Folder Structure:
my-app/
├── public/
├── src/
│ ├── components/
│ └── App.js
Configuration:
// Modify package.json or .env
REACT_APP_API_URL=https://api.example.com
Deployment:
// Deploy using Vercel or Netlify
npm run build
Creating custom themes allows you to match the design system with your brand. Customize colors, fonts, spacing, etc.
<!-- tailwind.config.js -->
// Customize your design tokens in Tailwind config
module.exports = {
theme: {
extend: {
colors: {
primary: '#1e3a8a', // Set a custom primary color
secondary: '#facc15', // Set a custom secondary color
},
},
},
}
Dark mode can be enabled using Tailwind's class strategy or media strategy. ShadCN components respond to this configuration.
<!-- tailwind.config.js -->
module.exports = {
darkMode: 'class', // Enables class-based dark mode
theme: {},
plugins: [],
}
You can toggle dark/light mode using JavaScript by adding/removing a class on the HTML element.
<!-- index.html -->
<html class="dark">
...
</html>
<!-- toggle-theme.js -->
const html = document.documentElement;
html.classList.toggle('dark'); // Toggles dark mode on/off
ShadCN uses Tailwind’s design tokens. You can override component tokens in your theme setup.
<!-- button component customization -->
import { cva } from 'class-variance-authority';
export const buttonVariants = cva('inline-flex items-center justify-center', {
variants: {
variant: {
default: 'bg-primary text-white',
outline: 'border border-primary text-primary',
},
},
});
Use a ThemeProvider to make light/dark mode toggling more manageable throughout your app.
<!-- App.jsx -->
import { ThemeProvider } from 'next-themes';
function App() {
return (<ThemeProvider attribute="class">
<YourComponent />
</ThemeProvider>);
}
Tailwind makes it easy to apply styles conditionally for mobile, tablet, and desktop using breakpoints.
<!-- Example responsive styles -->
<div class="text-sm md:text-base lg:text-lg">
Responsive text size
</div>
Ensure color contrasts are compliant for accessibility. Use accessible color palettes and test them with tools.
<!-- Use accessible color contrast -->
<button class="bg-yellow-500 text-black">
Accessible Button
</button>
You can package and share your theme using Tailwind plugins or custom config files across projects.
<!-- tailwind.plugin.js -->
module.exports = function customThemePlugin({ addBase }) {
addBase({
body: { color: '#1e3a8a' },
});
}
Make sure to clean unused components and optimize your build for production.
<!-- next.config.js -->
// Enable React strict mode and SWC minifier for optimized builds
module.exports = {
reactStrictMode: true,
swcMinify: true,
}
Configure Next.js for static site export if you don’t need server-side rendering.
<!-- next.config.js -->
module.exports = {
output: 'export',
}
Manage environment variables securely using .env files.
<!-- .env.local -->
NEXT_PUBLIC_API_URL=https://api.example.com
Deploy on platforms like Vercel, Netlify, or AWS Amplify easily.
<!-- Deploy to Vercel using CLI -->
vercel --prod
Automate tests and deployments with GitHub Actions.
<!-- .github/workflows/deploy.yml -->
name: Deploy
on: [push]
jobs:
build-deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-node@v2
with:
node-version: '16'
- run: npm install
- run: npm run build
- run: npx vercel --prod --token ${{ secrets.VERCEL_TOKEN }}
Use fetch or axios to call backend APIs.
<!-- Example fetch call -->
fetch('/api/data')
.then(res => res.json())
.then(data => console.log(data));
Add user authentication with NextAuth.js.
<!-- next-auth.config.js -->
import NextAuth from 'next-auth'
import Providers from 'next-auth/providers'
export default NextAuth({
providers: [
Providers.Google({ clientId: process.env.GOOGLE_ID, clientSecret: process.env.GOOGLE_SECRET }),
],
});
Add Google Analytics or Sentry for performance and error tracking.
<!-- Google Analytics snippet -->
<script async src="https://www.googletagmanager.com/gtag/js?id=GA_MEASUREMENT_ID"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() { dataLayer.push(arguments); }
gtag('js', new Date());
gtag('config', 'GA_MEASUREMENT_ID');
</script>
Break your code into smaller bundles to improve load time.
<!-- Example of dynamic import -->
import dynamic from 'next/dynamic';
const HeavyComponent = dynamic(() => import('./HeavyComponent'));
Use Next.js Image component for optimized lazy loading.
<!-- Next.js Image component example -->
import Image from 'next/image';
<Image src="/photo.jpg" width={600} height={400} alt="Sample Image" />
Use React.memo or useMemo to prevent unnecessary re-renders.
<!-- React.memo example -->
const MyComponent = React.memo(function MyComponent(props) {
return <div>{props.text}</div>
});
Cache server responses to reduce latency.
<!-- Example API caching headers -->
export default function handler(req, res) {
res.setHeader('Cache-Control', 's-maxage=60, stale-while-revalidate');
res.json({ data: 'Hello' });
}
Use font-display and preload to improve font loading performance.
<!-- In _document.js or _app.js -->
<link rel="preload" href="/fonts/myfont.woff2" as="font" type="font/woff2" crossorigin="anonymous" />
Enable gzip or Brotli compression on your server.
<!-- Example: Enable compression in Express.js -->
import compression from 'compression';
app.use(compression());
Use tools like Lighthouse or WebPageTest to analyze your app’s speed.
<!-- Run Lighthouse from Chrome DevTools or CLI -->
lighthouse https://your-site.com --output html --output-path report.html
Analyze bundle with Webpack Bundle Analyzer and remove unused dependencies.
<!-- Add to next.config.js -->
const withBundleAnalyzer = require('@next/bundle-analyzer')({
enabled: process.env.ANALYZE === 'true',
});
module.exports = withBundleAnalyzer({});
Set HTTP security headers like Content Security Policy (CSP).
<!-- next.config.js with security headers -->
module.exports = {
async headers() {
return [
{
source: '/(.*)',
headers: [
{ key: 'Content-Security-Policy', value: "default-src 'self';" },
{ key: 'X-Frame-Options', value: 'DENY' },
],
},
];
},
}
Sanitize user inputs to prevent injection attacks.
<!-- Example of input sanitization using DOMPurify -->
import DOMPurify from 'dompurify';
const cleanInput = DOMPurify.sanitize(userInput);
Use strong authentication and multi-factor authentication (MFA).
<!-- Using NextAuth with MFA placeholder -->
providers: [
Providers.Credentials({
authorize: async (credentials) => {
// Add MFA check here
return user;
},
}),
],
Set cookies with HttpOnly, Secure, and SameSite flags.
<!-- Example cookie setting in API -->
res.setHeader('Set-Cookie', 'token=abc; HttpOnly; Secure; SameSite=Strict');
Prevent abuse with rate limiting middleware.
<!-- Using express-rate-limit middleware -->
import rateLimit from 'express-rate-limit';
const limiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // limit each IP to 100 requests per windowMs
});
app.use(limiter);
Regularly audit your dependencies for vulnerabilities.
<!-- Using npm audit -->
npm audit fix
Use authentication and authorization checks on API routes.
<!-- Example API middleware -->
export function authMiddleware(req, res, next) {
if (!req.user) {
return res.status(401).json({ message: 'Unauthorized' });
}
next();
}
Use HTTPS and keep your server software up to date.
<!-- Example: Force HTTPS in Next.js -->
module.exports = {
async redirects() {
return [
{
source: '/(.*)',
destination: 'https://yourdomain.com/:path*',
permanent: true,
},
];
},
}
Test individual components or functions to ensure they behave as expected.
<!-- Jest example -->
test('adds 1 + 2 to equal 3', () => {
expect(1 + 2).toBe(3);
});
Test multiple components working together.
<!-- Example with React Testing Library -->
import { render, screen } from '@testing-library/react';
import App from './App';
test('renders welcome message', () => {
render(<App />);
const linkElement = screen.getByText(/welcome/i);
expect(linkElement).toBeInTheDocument();
});
Use browser devtools and Node.js debugger.
<!-- Node.js debugging -->
node --inspect app.js
Simulate user interactions from start to finish.
<!-- Cypress example -->
describe('My First Test', () => {
it('Visits the app', () => {
cy.visit('http://localhost:3000')
});
});
Focus on edge cases and critical paths.
Measure how much code is tested.
<!-- Jest coverage command -->
jest --coverage
Generate static HTML for better performance and simple hosting.
<!-- Next.js export command -->
next export
Deploy to platforms like Vercel or Netlify.
<!-- Example vercel.json -->
{
"functions": {
"api/*.js": {
"memory": 128,
"maxDuration": 10
}
}
}
Use Docker for consistent environment.
<!-- Dockerfile example -->
FROM node:16-alpine
WORKDIR /app
COPY package.json .
RUN npm install
COPY . .
CMD ["npm", "start"]
Automate tests and deployments with tools like GitHub Actions.
<!-- GitHub Actions example -->
name: CI
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Install Node.js
uses: actions/setup-node@v2
with:
node-version: '16'
- run: npm install
- run: npm test
- run: npm run build
Plan for easy rollback on failure.
Track uptime and response times with services like New Relic or Datadog.
Centralize logs for easier debugging.
<!-- Winston logger example -->
import winston from 'winston';
const logger = winston.createLogger({
level: 'info',
transports: [
new winston.transports.Console(),
],
});
logger.info('Server started');
Integrate Google Analytics or Mixpanel for user behavior tracking.
<!-- Google Analytics example -->
import { useEffect } from 'react';
import ReactGA from 'react-ga';
ReactGA.initialize('UA-XXXXX-Y');
useEffect(() => {
ReactGA.pageview(window.location.pathname + window.location.search);
}, []);
Setup alerts on error or downtime.
Use dashboards for live metrics.
Control access to resources by verifying user identity and permissions.
<!-- Example using JWT for authentication -->
import jwt from 'jsonwebtoken';
const secret = 'your_jwt_secret';
function generateToken(user) {
return jwt.sign({ id: user.id }, secret, { expiresIn: '1h' });
}
function verifyToken(token) {
try {
return jwt.verify(token, secret);
} catch (err) {
return null;
}
}
Protect sensitive data in transit and at rest using encryption.
<!-- Example: Using bcrypt for password hashing -->
import bcrypt from 'bcrypt';
const saltRounds = 10;
const password = 'user_password';
bcrypt.hash(password, saltRounds, function(err, hash) {
// Store hash in your password DB.
console.log(hash);
});
Follow regulations such as GDPR, HIPAA, or PCI-DSS depending on your domain.
Prevent vulnerabilities like SQL injection and cross-site scripting (XSS).
<!-- Example: Parameterized query to avoid SQL injection -->
const query = 'SELECT * FROM users WHERE email = ?';
db.execute(query, [email], (err, results) => {
if (err) throw err;
console.log(results);
});
Continuously check system for security gaps and vulnerabilities.
Build a chatbot that uses NLP to understand user queries and respond intelligently.
<!-- Simple chatbot example using JavaScript -->
const responses = {
hello: 'Hi! How can I help you?',
bye: 'Goodbye! Have a nice day!',
};
function getResponse(input) {
const key = input.toLowerCase();
return responses[key] || "Sorry, I don't understand.";
}
// Example usage
console.log(getResponse('hello')); // Output: Hi! How can I help you?
Use a pre-trained model to classify images uploaded by users.
<!-- Pseudocode for image classification -->
import tensorflow as tf
model = tf.keras.applications.MobileNetV2(weights='imagenet')
def classify_image(image):
processed = preprocess(image)
preds = model.predict(processed)
return decode_predictions(preds)
Create a dashboard that updates in real time with live data streams.
<!-- Example using WebSocket to update UI -->
const socket = new WebSocket('ws://yourserver');
socket.onmessage = function(event) {
const data = JSON.parse(event.data);
updateDashboard(data);
};
Design microservices that can scale independently and communicate via APIs.
<!-- Sample Dockerfile for a microservice -->
FROM node:16
WORKDIR /app
COPY package.json .
RUN npm install
COPY . .
CMD ["node", "server.js"]
Implement OAuth2 for secure authentication across enterprise applications.
<!-- OAuth2 flow pseudocode -->
GET /authorize?client_id=xyz&response_type=code&redirect_uri=/callback
POST /token with authorization code
Use access_token to authenticate API requests
Set up centralized logging and monitoring to track system health.
<!-- Example config for ELK Stack -->
input {
beats {
port => 5044
}
}
output {
elasticsearch { hosts => ["localhost:9200"] }
}
Use encryption and access controls to protect sensitive data.
<!-- Example using AES encryption in Python -->
from Crypto.Cipher import AES
key = b'Sixteen byte key'
cipher = AES.new(key, AES.MODE_EAX)
nonce = cipher.nonce
data = b'Secret Data'
ciphertext, tag = cipher.encrypt_and_digest(data)
Integrating AI to dynamically fill modal content using APIs or inference results.
<!-- AI-Powered Modal Example -->
<Dialog>
<DialogTrigger><Button>Generate Summary</Button></DialogTrigger>
<DialogContent>
<DialogTitle>Summary</DialogTitle>
<p>{aiGeneratedSummary}</p>
</DialogContent>
</Dialog>
Output: Modal displays AI-generated content.
Embed a chatbot interface inside a dialog using ShadCN for UI and OpenAI for responses.
<!-- Chatbot Modal Example -->
<Dialog>
<DialogTrigger><Button>Chat with AI</Button></DialogTrigger>
<DialogContent>
<DialogTitle>AI Chat</DialogTitle>
<div>{chatMessages.map(msg => <p>{msg}</p>)}</div>
<input value={userInput} onChange={handleInput} />
<Button onClick={sendToAI}>Send</Button>
</DialogContent>
</Dialog>
Output: Interactive AI chat interface inside modal.
Use Web Speech API for voice commands to trigger or control dialogs.
<!-- Voice Command Integration Example -->
<script>
const recognition = new webkitSpeechRecognition();
recognition.onresult = function(event) {
if (event.results[0][0].transcript === "open modal") {
setIsOpen(true);
}
};
recognition.start();
</script>
Output: Speak to open a modal.
Gather feedback via a modal and process it with sentiment analysis.
<!-- Feedback Modal Example -->
<Dialog>
<DialogTrigger><Button>Give Feedback</Button></DialogTrigger>
<DialogContent>
<textarea onChange={e => analyzeSentiment(e.target.value)}></textarea>
</DialogContent>
</Dialog>
Output: AI analyzes the feedback content in real time.
Use AI to recommend actions inside modals based on user behavior.
<!-- Recommendation Modal -->
<Dialog>
<DialogTrigger><Button>Recommendations</Button></DialogTrigger>
<DialogContent>
<ul>{recommendations.map(item => <li>{item}</li>)}</ul>
</DialogContent>
</Dialog>
Output: List of AI-suggested actions.
Display AI-generated images inside dialogs.
<Dialog>
<DialogTrigger><Button>Generate Image</Button></DialogTrigger>
<DialogContent>
<img src={aiGeneratedImageURL} alt="Generated" />
</DialogContent>
</Dialog>
Pre-fill forms with AI suggestions in dialogs.
<Dialog>
<DialogTrigger><Button>Edit Profile</Button></DialogTrigger>
<DialogContent>
<input type="text" value={aiNameSuggestion} />
</DialogContent>
</Dialog>
Auto-complete or predict input fields with AI inside modals.
<input onChange={handleChange} value={predictedText} />
Open dialogs based on AI detection or conditions.
if (AIFlags.userNeedsHelp) {
setShowHelpModal(true);
}
Use AI to translate dialog content in real-time.
<DialogContent>
<p>{translatedText}</p>
</DialogContent>
Show analytics insights inside modal dashboards.
<Dialog>
<DialogTrigger><Button>View Analytics</Button></DialogTrigger>
<DialogContent>
<Chart data={aiStats} />
</DialogContent>
</Dialog>
Display detected user emotion inside a dialog.
<p>Emotion: {emotionLabel}</p>
Use dialog for AI text completion suggestions.
<DialogContent>
<p>{autocompleteSuggestion}</p>
</DialogContent>
Compare data insights with AI commentary inside modal.
<p>Insight: {aiComparison}</p>
Dynamically render UI layouts from AI suggestions in modals.
<div>{generatedUI.map(el => renderElement(el))}</div>
Use AI to evaluate and suggest accessibility improvements for dialog content.
<DialogContent>
<p>{aiAccessibilitySuggestions.join(", ")}</p>
</DialogContent>
Customize the modal layout, text size, or theme using AI preferences.
<DialogContent style={{fontSize: aiFontSize, color: aiThemeColor}}>
<p>Customized Content</p>
</DialogContent>
AI detects new users and triggers onboarding dialogs automatically.
if (aiDetectsNewUser) {
showOnboardingModal();
}
Show vocabulary tips and learning guidance in modals with AI support.
<DialogContent>
<p>{aiVocabularyTips}</p>
</DialogContent>
Display a short AI-generated quiz for user learning evaluation.
<Dialog>
<DialogTrigger><Button>Take Quiz</Button></DialogTrigger>
<DialogContent>
<p>{aiQuizQuestion}</p>
<ul>
{aiQuizOptions.map(opt => <li>{opt}</li>)}
</ul>
</DialogContent>
</Dialog>
Use a dialog to display AI-optimized daily schedules.
<DialogContent>
<ul>{optimizedSchedule.map(item => <li>{item}</li>)}</ul>
</DialogContent>
Show AI-picked products or services based on user preferences.
<DialogContent>
<ul>{aiProductSuggestions.map(prod => <li>{prod}</li>)}</ul>
</DialogContent>
Offer automated support inside a dialog using AI for real-time assistance.
<DialogContent>
<p>{aiSupportResponse}</p>
</DialogContent>
Deploy dynamic surveys in a modal where questions adapt via AI logic.
<DialogContent>
<p>{aiSurveyQuestion}</p>
<input type="text" onChange={handleSurveyAnswer} />
</DialogContent>
Offer grammar corrections or writing feedback inside modal dialogs.
<DialogContent>
<p>Suggested Revision: {aiGrammarFix}</p>
</DialogContent>
Help users draft scripts, dialogues, or responses with AI input in modals.
<DialogContent>
<p>{aiScriptSuggestion}</p>
</DialogContent>
Use AI to create and suggest task timers based on workload estimation.
<DialogContent>
<p>Estimated Time: {aiTaskDuration}</p>
</DialogContent>
Display a greeting or message based on AI sentiment or behavior analysis.
<DialogContent>
<h2>{aiPersonalGreeting}</h2>
</DialogContent>
Include AI-generated text-to-speech narration inside dialogs for accessibility.
const speech = new SpeechSynthesisUtterance(aiText);
speechSynthesis.speak(speech);
Give learning strategy suggestions via AI in modal dialogs.
<DialogContent>
<p>{aiLearningTips.join(", ")}</p>
</DialogContent>
Use AI to analyze user interaction and provide feedback inside a dialog box.
<DialogContent>
<p>{aiUserFeedback}</p>
</DialogContent>
Show AI-guided solutions to common user errors in a dialog.
<DialogContent>
<p>Possible Fix: {aiErrorFix}</p>
</DialogContent>
Display sentiment analysis results based on user input in a modal dialog.
<DialogContent>
<p>Sentiment: {aiSentimentLabel}</p>
</DialogContent>
Track goals and progress via dialogs updated using AI logic.
<DialogContent>
<ul>{aiGoalProgress.map(goal => <li>{goal}</li>)}</ul>
</DialogContent>
Summarize data insights or analytics inside a modal powered by AI analysis.
<DialogContent>
<p>{aiDataSummary}</p>
</DialogContent>
Allow voice command interaction with modals using AI speech recognition.
const recognition = new webkitSpeechRecognition();
recognition.onresult = (event) => {
const command = event.results[0][0].transcript;
handleVoiceCommand(command);
};
recognition.start();
Use AI to generate and display custom offers inside a dialog based on user activity.
<DialogContent>
<p>{aiPersonalOffers}</p>
</DialogContent>
Provide productivity advice and time allocation plans from AI in a modal format.
<DialogContent>
<p>{aiTimeManagementTips.join(", ")}</p>
</DialogContent>
Show AI-generated help messages depending on current UI interaction.
<DialogContent>
<p>{aiContextHelpText}</p>
</DialogContent>
Use AI to suggest next steps or follow-ups via a modal interface.
<DialogContent>
<ul>{aiNextActions.map(action => <li>{action}</li>)}</ul>
</DialogContent>
Generate dynamic input forms inside modals based on AI analysis of user data.
<Dialog>
<DialogTrigger><Button>Open Dynamic Form</Button></DialogTrigger>
<DialogContent>
{aiFormFields.map(field => (
<label key={field.id}>{field.label}</label>
<input type={field.type} placeholder={field.placeholder} />
))}
</DialogContent>
</Dialog>
Use AI to create stepwise modals that guide users through complex processes.
<Dialog>
<DialogTrigger><Button>Start Workflow</Button></DialogTrigger>
<DialogContent>
<MultiStepWizard currentStep={aiCurrentStep} steps={aiSteps} />
</DialogContent>
</Dialog>
Modals adapt their look and feel using AI-based user preference predictions.
<DialogContent style={{backgroundColor: aiTheme.bg, color: aiTheme.text}}>
<p>Welcome with your AI personalized theme!</p>
</DialogContent>
Use AI to prioritize and lazy-load modal content for performance optimization.
<DialogContent>
{aiContentPriority.map(item => (
<div key={item.id}>{item.content}</div>
))}
</DialogContent>
Automatically translate modal text content based on AI language detection.
<DialogContent>
<p>{aiTranslate(text, userLang)}</p>
</DialogContent>
Track user interactions inside modals using AI-driven analytics for improvements.
useEffect(() => {
aiTrackEvent('modal_opened');
}, []);
Automatically close modals based on AI prediction of user engagement or inactivity.
useEffect(() => {
if (aiDetectInactivity) {
closeModal();
}
}, [aiDetectInactivity]);
Adjust modal behavior (focus, font size) automatically to meet accessibility needs.
<DialogContent style={{fontSize: aiFontSize, outline: aiFocusOutline}}>
<p>Accessible modal content</p>
</DialogContent>
Summarize long modal content automatically for quick user comprehension.
<DialogContent>
<p>{aiSummarize(longText)}</p>
</DialogContent>
Provide AI-selected relevant images inside modals to enhance context.
<DialogContent>
<img src={aiSuggestedImageUrl} alt="AI suggested visual" />
</DialogContent>
Collect and analyze user feedback within modals for AI-driven UX refinement.
<DialogContent>
<textarea onChange={handleFeedback} placeholder="Your feedback" />
<Button onClick={submitFeedback}>Submit</Button>
</DialogContent>
Embed AI chatbots inside modals to provide instant conversational assistance.
<DialogContent>
<AIChatbot initialMessage="How can I help you today?" />
</DialogContent>
Show AI-generated video summaries inside modals for quick previews.
<DialogContent>
<video controls src={aiVideoSummaryUrl} />
</DialogContent>
Create personalized notification modals based on AI analysis of user behavior.
<DialogContent>
<p>{aiGenerateNotification(userData)}</p>
</DialogContent>
Tailor modal content dynamically for each user using AI insights.
<DialogContent>
<p>Hello, {aiUserName}! Here are your personalized options:</p>
{aiPersonalizedOptions.map(option => (
<div key={option.id}>{option.text}</div>
))}
</DialogContent>
Automatically generate descriptive captions for images inside modals.
<DialogContent>
<img src={imageUrl} alt={aiGenerateCaption(imageUrl)} />
<p>{aiGenerateCaption(imageUrl)}</p>
</DialogContent>
Use AI to decide when and how to display loading spinners inside modals.
<DialogContent>
{aiLoadingState ? <LoadingSpinner /> : <Content />}
</DialogContent>
Show user-friendly error messages generated by AI when modals fail.
<DialogContent>
{aiError ? <p>{aiGenerateErrorMessage(aiError)}</p> : <Form />}
</DialogContent>
Automatically fill form fields inside modals using AI prediction of user inputs.
<DialogContent>
<input type="text" value={aiPredictInput('name')} />
<input type="email" value={aiPredictInput('email')} />
</DialogContent>
Use AI to detect suspicious activity inside modals and alert users.
useEffect(() => {
if (aiDetectSuspiciousActivity()) {
alert("Suspicious activity detected. Please verify.");
}
}, []);
Analyze user input sentiment inside modals to adapt responses accordingly.
<DialogContent>
<textarea onChange={e => setSentiment(aiAnalyzeSentiment(e.target.value))} />
<p>Sentiment Score: {sentiment}</p>
</DialogContent>
Summarize long text content inside modals using AI for quick reading.
<DialogContent>
<p>{aiSummarize(longTextContent)}</p>
</DialogContent>
Display frequently asked questions generated dynamically by AI in modals.
<DialogContent>
<ul>
{aiFAQs.map(faq => (
<li key={faq.id}><strong>{faq.question}</strong>: {faq.answer}</li>
))}
</ul>
</DialogContent>
Profile users inside modals to offer personalized content and suggestions.
<DialogContent>
<p>User Profile: {JSON.stringify(aiUserProfile)}</p>
</DialogContent>
Show personalized pricing options in modals based on AI analysis of user behavior.
<DialogContent>
<p>Special Price: ${aiDynamicPrice}</p>
</DialogContent>
Help developers by suggesting code snippets dynamically inside modals.
<DialogContent>
<pre>{aiCodeSuggestion}</pre>
</DialogContent>
Filter displayed modal content based on AI classification or preferences.
<DialogContent>
{filteredContent.map(item => <p key={item.id}>{item.text}</p>)}
</DialogContent>
Use AI to validate user input in modal forms more intelligently.
function validateInput(input) {
return aiValidate(input);
}
<DialogContent>
<input onBlur={e => validateInput(e.target.value)} />
</DialogContent>
Suggest next steps or products inside modals using AI recommendations.
<DialogContent>
<ul>
{aiRecommendations.map(rec => <li key={rec.id}>{rec.text}</li>)}
</ul>
</DialogContent>
Control modal actions with voice commands recognized and processed by AI.
const recognition = new webkitSpeechRecognition();
recognition.onresult = (event) => {
const command = event.results[0][0].transcript;
if (command.includes("close")) {
closeModal();
}
}
recognition.start();
Detect user emotions through input or webcam and adapt modal content accordingly.
const emotion = aiDetectEmotion(userInputOrImage);
<DialogContent>
<p>Detected Emotion: {emotion}</p>
</DialogContent>
Automatically translate modal content into the user's preferred language using AI.
<DialogContent>
<p>{aiTranslate(originalText, userLanguage)}</p>
</DialogContent>
Generate unique modal content dynamically based on AI input and user context.
<DialogContent>
<p>{aiGenerateContent(userContext)}</p>
</DialogContent>
Correct grammar and spelling in user input within modal dialogs as they type.
function handleInputChange(e) {
const correctedText = aiCorrectGrammar(e.target.value);
setInputValue(correctedText);
}
<DialogContent>
<textarea value={inputValue} onChange={handleInputChange} />
</DialogContent>
Predict user intent from modal input and provide tailored suggestions.
const intent = aiPredictIntent(userInput);
<DialogContent>
<p>Predicted Intent: {intent}</p>
</DialogContent>
Send personalized notification messages within modals using AI insights.
<DialogContent>
<p>{aiPersonalizedNotification}</p>
</DialogContent>
Provide task or action suggestions inside modals based on AI analysis of user behavior.
<DialogContent>
<ul>
{aiTaskSuggestions.map(task => <li key={task.id}>{task.text}</li>)}
</ul>
</DialogContent>
Create event reminders inside modals using AI prediction of important dates.
<DialogContent>
<p>Upcoming Event: {aiEventReminder}</p>
</DialogContent>
Show AI-generated charts and graphs inside modal dialogs.
<DialogContent>
<Chart data={aiChartData} />
</DialogContent>
Support real-time collaboration with AI-assisted suggestions inside modals.
<DialogContent>
<ul>
{collaborators.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
<p>AI Suggestions: {aiCollabSuggestions}</p>
</DialogContent>
Use AI to summarize long texts inside modal dialogs for quick reading.
const summary = aiSummarize(longText);
<DialogContent>
<p>{summary}</p>
</DialogContent>
Analyze and display the sentiment of user inputs or comments within modals.
const sentiment = aiAnalyzeSentiment(userComment);
<DialogContent>
<p>Sentiment: {sentiment}</p>
</DialogContent>
Show personalized article or video recommendations in modals based on AI user profiling.
<DialogContent>
<ul>
{aiRecommendations.map(item => <li key={item.id}>{item.title}</li>)}
</ul>
</DialogContent>
Present AI-detected security threats or alerts inside modal dialogs.
<DialogContent>
<p>Security Alert: {aiSecurityAlertMessage}</p>
</DialogContent>
Filter inappropriate content or spam in modal inputs using AI moderation.
function handleInput(e) {
const filteredText = aiFilterContent(e.target.value);
setInputValue(filteredText);
}
<DialogContent>
<textarea value={inputValue} onChange={handleInput} />
</DialogContent>
Display personalized learning paths based on AI evaluation in modal dialogs.
<DialogContent>
<ol>
{aiLearningPath.map(step => <li key={step.id}>{step.description}</li>)}
</ol>
</DialogContent>
Automatically expand brief content into detailed explanations using AI inside modals.
const expandedContent = aiExpandContent(shortText);
<DialogContent>
<p>{expandedContent}</p>
</DialogContent>
Create AI-generated invitations and messages inside modals for events.
<DialogContent>
<p>{aiInvitationMessage}</p>
</DialogContent>
Summarize user reviews or comments inside modal dialogs using AI summarization.
const reviewSummary = aiSummarizeReviews(reviews);
<DialogContent>
<p>{reviewSummary}</p>
</DialogContent>
Generate interactive stories with AI inside modal dialogs.
<DialogContent>
<p>{aiStoryPart}</p>
<button onClick={loadNextStoryPart}>Next</button>
</DialogContent>
Analyze user feedback with AI and display insights inside modals.
const feedbackInsights = aiAnalyzeFeedback(feedback);
<DialogContent>
<pre>{JSON.stringify(feedbackInsights, null, 2)}</pre>
</DialogContent>
Accept and interpret voice commands in modal dialogs using AI speech recognition.
function handleVoiceCommand(command) {
const action = aiInterpretCommand(command);
performAction(action);
}
<DialogContent>
<button onClick={startVoiceRecognition}>Speak</button>
</DialogContent>
Adjust the style or tone of modal text based on AI user preferences.
const styledText = aiAdjustStyle(originalText, userTone);
<DialogContent>
<p>{styledText}</p>
</DialogContent>
Create frequently asked questions dynamically inside modal dialogs based on user queries.
<DialogContent>
<ul>
{aiGenerateFAQ(userQuestions).map(faq => <li key={faq.id}>{faq.question} - {faq.answer}</li>)}
</ul>
</DialogContent>
Automatically save user input drafts inside modals with AI suggestions.
function handleInputChange(e) {
autoSaveDraft(e.target.value);
setInputValue(e.target.value);
}
<DialogContent>
<textarea value={inputValue} onChange={handleInputChange} />
</DialogContent>
Display AI-generated workout suggestions and plans inside modal dialogs.
<DialogContent>
<ul>
{aiWorkoutPlan.map(exercise => <li key={exercise.id}>{exercise.name} - {exercise.reps}</li>)}
</ul>
</DialogContent>
Assist users in shopping with AI-powered suggestions and deals inside modals.
<DialogContent>
<ul>
{aiShoppingSuggestions.map(item => <li key={item.id}>{item.name} - {item.price}</li>)}
</ul>
</DialogContent>
Use AI to prompt users for mental health check-ins inside modal dialogs.
<DialogContent>
<p>{aiMentalHealthPrompt}</p>
<textarea placeholder="How are you feeling?" />
</DialogContent>
Provide AI-generated recipe ideas based on ingredients users have inside modals.
<DialogContent>
<ul>
{aiRecipeSuggestions.map(recipe => <li key={recipe.id}>{recipe.name})}
Translate modal content dynamically using AI translation APIs.
const translatedText = aiTranslate(originalText, targetLanguage);
<DialogContent>
<p>{translatedText}</p>
</DialogContent>
<!-- Install shadcn/ui components -->
npm install @shadcn/ui
<!-- Import a Button component -->
import { Button } from '@shadcn/ui';
<Button>Click me</Button>
<!-- Example of initializing AI client -->
import AIClient from 'ai-sdk';
const ai = new AIClient({ apiKey: 'your-api-key' });
<input type="text" placeholder="Ask AI..." />
<Button onClick={handleAskAI}>Ask</Button>
async function handleAskAI() {
const response = await ai.ask(prompt);
console.log(response);
}
<div className="bg-primary text-white p-4 rounded">AI Response</div>
<Modal isOpen={open} onClose={closeModal}>
<Modal.Header>AI Chat</Modal.Header>
<Modal.Body>{aiResponse}</Modal.Body>
</Modal>
<Form onSubmit={handleSubmit}>
<Input name="question" />
<Button type="submit">Send</Button>
</Form>
<Card>
<Card.Title>AI Result</Card.Title>
<Card.Content>{resultText}</Card.Content>
</Card>
<Dropdown>
<Dropdown.Item>Suggestion 1</Dropdown.Item>
<Dropdown.Item>Suggestion 2</Dropdown.Item>
</Dropdown>
<SearchInput onChange={handleSearch}></SearchInput>
{loading ? <Spinner /> : <ResultDisplay />}
{error && <Alert variant="danger">{error.message}</Alert>}
<Button onClick={playAudio}>Listen</Button>
<Button onClick={startRecording}>Speak</Button>
<List>
<List.Item>User: Hello</List.Item>
<List.Item>AI: Hi! How can I help?</List.Item>
</List>
<Form validate={validateForm}>...</Form>
<div className="dark:bg-gray-900">AI Component</div>
<div className="sm:flex">...</div>
<Chart data={aiData} />
<div>{aiGeneratedText}</div>
async function automateTask() {
await ai.runTask('dataAnalysis');
}
import { openai } from 'openai';
const response = await openai.chat.completions.create({
model: 'gpt-4o-mini',
messages: [{ role: 'user', content: 'Hello' }]
});
useEffect(() => {
const subscription = ai.onUpdate(update => {
setResponse(update);
});
return () => subscription.unsubscribe();
}, []);
notify('New AI message received');
<Button aria-label="Ask AI">Ask</Button>
<SettingsPanel>
<Switch name="aiEnabled" />
</SettingsPanel>
console.log(ai.debugInfo());
toast.success('AI operation successful');
const translation = await ai.translate('Hello', 'es');
npm run build
npm start
<FileUploader onChange={handleFileChange} />
async function handleFileChange(file) {
const result = await ai.processFile(file);
console.log(result);
}
<Chat messages={chatMessages} />
async function sendMessage(msg) {
const response = await ai.chat(msg);
setChatMessages([...chatMessages, { user: msg, ai: response }]);
}
async function autofillForm() {
const data = await ai.fetchUserData();
setFormData(data);
}
const AIComponent = dynamic(() => import('./AIComponent'), { ssr: false });
const image = await ai.generateImage('sunset over mountains');
<img src={image.url} alt="AI generated" />
const summary = await ai.summarize(text);
<div>{summary}</div>
<Button onClick={startVoiceRecognition}>Speak</Button>
const code = await ai.generateCode('React login form');
<pre>{code}</pre>
<Tabs>
<Tabs.List>
<Tabs.Trigger value="1">Summary</Tabs.Trigger>
<Tabs.Trigger value="2">Details</Tabs.Trigger>
</Tabs.List>
<Tabs.Content value="1">{summary}</Tabs.Content>
<Tabs.Content value="2">{details}</Tabs.Content>
</Tabs>
const emailTemplate = await ai.generateEmail('welcome message');
<textarea value={emailTemplate} />
const sentiment = await ai.analyzeSentiment(userText);
<div>Sentiment: {sentiment.label}</div>
const caption = await ai.captionImage(imageFile);
<p>Caption: {caption}</p>
toast.info('AI completed task');
const videoSummary = await ai.summarizeVideo(videoUrl);
<div>{videoSummary}</div>
<Switch checked={aiEnabled} onChange={toggleAI} />
const suggestions = await ai.searchSuggestions(query);
<List>
suggestions.map(s => <List.Item key={s}>{s}</List.Item>)
</List>
const translatedText = await ai.translate(text, 'fr');
<div>{translatedText}</div>
const completion = await ai.completeText('Once upon a time');
<p>{completion}</p>
<Avatar src={user.avatar} />
<p>{chatMessage}</p>
const styledImage = await ai.styleTransfer(imageFile, 'van Gogh');
<img src={styledImage.url} alt="Styled" />
const quiz = await ai.generateQuiz(topic);
<ul>
quiz.questions.map(q => <li key={q.id}>{q.question}</li>)
</ul>
const emotions = await ai.detectEmotion(audioFile);
<div>Emotion: {emotions.primary}</div>
const resume = await ai.buildResume(data);
<pre>{resume}</pre>
const review = await ai.reviewCode(sourceCode);
<pre>{review.comments}</pre>
const post = await ai.createSocialPost(topic);
<textarea value={post} />
const moderation = await ai.moderateContent(text);
<div>Status: {moderation.status}</div>
<ChatWindow messages={supportMessages} />
const tags = await ai.autoTagImage(imageFile);
<div>Tags: {tags.join(', ')}</div>
const marketingEmail = await ai.generateEmail('product launch');
<textarea value={marketingEmail} />
<Button onClick={runAIWorkflow}>Run Workflow</Button>
async function translateLive(text) {
return await ai.translate(text, 'es');
}
<textarea onChange="translateLive(this.value)" />
const summary = await ai.summarizeDocument(docText);
<div>{summary}</div>
const ideas = await ai.generateIdeas('tech blog');
<ul>
ideas.map(i => <li key={i}>{i}</li>)
</ul>
<Button onClick={startVoiceCommand}>Start Voice Command</Button>
const audioUrl = await ai.textToSpeech('Hello world');
<audio src={audioUrl} controls />
async function previewImage(file) {
const enhanced = await ai.enhanceImage(file);
setPreview(enhanced.url);
}
<img src={preview} alt="Preview" />
const recommendations = await ai.getRecommendations(userId);
<List>
recommendations.map(p => <List.Item key={p.id}>{p.name}</List.Item>)
</List>
const prompt = await ai.generateWritingPrompt();
<p>{prompt}</p>
const alert = await ai.detectFraud(transactionData);
if(alert) toast.error('Potential fraud detected!');
const theme = await ai.suggestTheme(userPrefs);
setTheme(theme);
const comments = await ai.generateComments(codeSnippet);
<pre>{comments}</pre>
const seoTips = await ai.optimizeSEO(pageContent);
<ul>
seoTips.map(tip => <li key={tip}>{tip}</li>)
</ul>
const grammarCheck = await ai.checkGrammar(textInput);
<div>{grammarCheck.feedback}</div>
const transcript = await ai.transcribeAudio(meetingAudio);
<textarea value={transcript} />
const questions = await ai.generateInterviewQuestions('software engineer');
<ul>
questions.map(q => <li key={q}>{q}</li>)
</ul>
const report = await ai.testUX(appUrl);
<pre>{report}</pre>
const refactoredCode = await ai.refactorCode(oldCode);
<pre>{refactoredCode}</pre>
const isSpam = await ai.filterSpam(emailContent);
<div>Spam: {isSpam ? 'Yes' : 'No'}</div>
const plan = await ai.generateEventPlan(eventType);
<pre>{plan}</pre>
const response = await ai.chatWithSentiment(userMessage);
<p>{response}</p>
const feedbackSummary = await ai.analyzeFeedback(feedbacks);
<div>{feedbackSummary}</div>
const objects = await ai.recognizeObjects(imageFile);
<Badge>{objects.length} Objects Detected</Badge>
const results = await ai.searchCodeSnippets(query);
<ul>
results.map(r => <li key={r.id}>{r.title}</li>)
</ul>
const cards = await ai.generateFlashcards(language);
<CardList cards={cards} />
const bugs = await ai.detectBugs(code);
<pre>{bugs.report}</pre>
const analytics = await ai.getSocialAnalytics(account);
<Chart data={analytics} />
const recipes = await ai.suggestRecipes(ingredients);
<ul>
recipes.map(r => <li key={r.id}>{r.name}</li>)
</ul>
const resolvedCode = await ai.resolveMergeConflicts(conflictCode);
<pre>{resolvedCode}</pre>
const language = await ai.detectLanguage(text);
<div>Language: {language}</div>
const forecast = await ai.forecastFinance(data);
<Chart data={forecast} />
const workout = await ai.generateWorkoutPlan(goal);
<pre>{workout}</pre>
const review = await ai.reviewLegalDocs(document);
<pre>{review.comments}</pre>
const highlighted = await ai.syntaxHighlight(code);
<pre dangerouslySetInnerHTML={{ __html: highlighted }} />
const churnRisk = await ai.predictChurn(customerData);
<div>Churn Risk: {churnRisk.score}</div>
<!-- Analyze stock data based on the given stock symbol -->
const analysis = await ai.analyzeStock(stockSymbol);
<!-- Render the analysis results in a chart component -->
<Chart data={analysis} />
<!-- Get suggested replies based on the content of the email -->
const suggestions = await ai.suggestEmailReplies(emailText);
<!-- Render suggestions as a list of clickable items -->
<ul>
{suggestions.map(s => <li key={s}>{s}</li>)}
</ul>
<!-- Run content moderation on a user post to detect inappropriate content -->
const moderationResult = await ai.moderateContent(userPost);
<!-- Display the moderation status to the user -->
<div>Status: {moderationResult.status}</div>
<!-- Generate a news feed personalized to the user profile -->
const newsFeed = await ai.generateNewsFeed(userProfile);
<!-- Render the news feed as a list of news titles -->
<List>
{newsFeed.map(n => <List.Item key={n.id}>{n.title}</List.Item>)}
</List>
<!-- Generate a caption describing the content of the image -->
const caption = await ai.captionImage(imageFile);
<!-- Display the generated caption below the image -->
<figcaption>{caption}</figcaption>
<!-- Manage user's budget and transactions using AI insights -->
const budget = await ai.manageFinance(transactions);
<!-- Show the resulting budget plan or summary -->
<pre>{budget}</pre>