AI prompts - freeCodeCamp.org

How to Build a Website User Interface Faster Using AI Prompts

Vaibhav Gupta — Mon, 19 Oct 2026 06:52:23 +0000

A website user interface (UI) used to take hours of writing HTML, CSS, and component code by hand. Now you can describe a page in plain words and let an AI coding tool write the first version.

But the result depends on your prompt. A short, vague prompt gives you a generic page with random colors and repeated code. A clear prompt with your stack, your files, and your rules gives you code you can use.

In this tutorial, you'll learn how to write that kind of prompt. You'll use it to build a full-screen hero section with a sticky, animated navbar, using Next.js, Tailwind CSS, and shadcn/ui components.

By the end, you'll know how to:

Write a UI prompt that covers layout, components, colors, spacing, and responsive behavior.
Generate a UI from a prompt and inspect the code the tool creates.
Use reusable shadcn/ui components and ready-made blocks instead of repeated AI-written code.
Improve the result with small follow-up prompts.
Run, test, and customize the final page.

Prerequisites
Why shadcn/ui?
What is ShadcnSpace?
What You'll Build
Step 1: How to Write an Effective UI Prompt
Step 2: How to Generate the First UI
Step 3: How to Build with Reusable shadcn/ui Components
Step 4: How to Improve the Result with Follow-Up Prompts
Step 5: How to Run and Customize the Final UI
How I Check AI-Generated Code Before Deployment
Key Concepts Recap
Conclusion
Resources

Prerequisites

Before you start, make sure you have:

A current LTS version of Node.js installed
A code editor
An account with an AI coding tool such as Cursor, Claude, or v0
Basic knowledge of React and TypeScript
Basic knowledge of Tailwind CSS class names

You don't need to know Motion, the animation library used in this tutorial. You'll see how it works as you go.

Why shadcn/ui?

Shadcn UI is a collection of accessible React components styled with Tailwind CSS. It works differently from a normal component library. You don't install it as a package. Instead, you use a CLI to copy the component source files into your project.

This matters when you work with AI tools. The code lives in your own components/ui folder, so the tool can read it, and so can you. When you ask a tool to "use the dropdown menu," it can follow the exact component in your project instead of inventing a new one.

Some key benefits:

Accessible by default, so menus and buttons handle keyboard use and focus
Built with Tailwind CSS, so there are no extra style files
Shared theme variables, so colors stay the same across every component
No lock-in, because the code is in your project and you can edit it

What is ShadcnSpace?

ShadcnSpace is a collection of 1000+ beautifully designed, accessible, and composable free and Pro Shadcn UI blocks, components, and templates for your React/Next.js apps. Supporting both Base UI and Radix UI, styled with Tailwind CSS, it is ready to copy-paste or install via the Shadcn CLI.

A block is a larger piece of UI, such as a hero section, a navbar, or a full page layout, built from shadcn/ui components.

Each block page shows a live preview. You can look at any free or pro block and copy its prompt. You then paste that prompt into any AI tool, and the tool creates the files in your project.

This tutorial uses a hero block as the example. You'll see exactly what a complete prompt looks like and why it works.

What You'll Build

You'll build a hero page with these parts:

Hero section

A full-screen section with a looping background video
A dark overlay so the text stays readable
A rotating icon next to a short line of text
A large headline that fades in when it enters the screen

Navbar

A sticky header with a logo on the left and a round menu button on the right
A background that fills in after you scroll 80px
A dropdown menu with five links, a dark blurred overlay, and contact details

Navigation link

A link that reveals a spinning icon on hover
An active state for the current page

The project needs this stack:

A shadcn/ui project structure
React
Next.js
Tailwind CSS
TypeScript

If you don't have a project yet, create one and set up shadcn/ui:

npx create-next-app@latest hero-demo --typescript --tailwind --eslint --app
cd hero-demo
npx shadcn@latest init

Current versions of create-next-app ship with React 19 and Tailwind CSS 4.

Step 1: How to Write an Effective UI Prompt

A good prompt works like a short spec. It tells the tool what to build, which parts to use, and which rules to follow.

Cover these five points:

Layout: Say what goes where. For example, "a sticky navbar on top and a headline at the bottom left."
Components: Name the parts you want, such as a dropdown menu for the mobile navigation.
Colors: Name a main color and where it appears. Ask for theme tokens such as text-foreground where you can.
Spacing: Give a rule, such as "keep content inside a max width of 7xl with horizontal padding."
Responsive behavior: Say what changes on a phone.

There are two ways to get a prompt for your page.

Option 1: Generate a Prompt with an AI Tool

Describe the page in your own words and follow the five points above. Here's an example:

Create a full-screen hero section for a Next.js project with
TypeScript and Tailwind CSS.

Layout:
- A sticky navbar with a logo on the left and a round menu button on the right.
- The menu button opens a dropdown with five links.
- A looping background video with a dark overlay so the text stays readable.
- A large headline and a short line of text at the bottom left.

Rules:
- Use the shadcn/ui DropdownMenu for the menu.
- Use Motion for a fade-in on the headline and the navbar.
- Keep content inside max-w-7xl with horizontal padding.
- On small screens, reduce the headline size and stack the content in one column.

Split the code into small files: page, navbar, nav link, hero, and index.

Notice what this prompt leaves out. It doesn't say "make it modern" or "make it beautiful." Those words give the tool nothing to act on.

Option 2: Copy a Prompt from a Block Page

The second way is faster when a block is already close to what you need. Open the ShadcnSpace website and pick any free or pro block from the Shadcn block library. Copy the block's prompt, and paste it into any AI tool.

That prompt already holds your project requirements, every file path, and the full code. The next step shows what it looks like.

Step 2: How to Generate the First UI

This tutorial uses Option 2 so you can study a complete prompt. Paste a prompt like this into your AI tool, and open your project folder so the tool can create files:

Create a Shadcn block in the codebase.
The codebase should support following:
- Shadcn project structure
- React ^19
- Tailwind CSS ^4
- TypeScript ^5

If it doesn't, provide instructions on how to setup project via shadcn CLI, install Tailwind CSS v4 or Typescript.

Here are the files for the block:

File path: app/hero-03/page.tsx
(code for this file)

File path: components/shadcn-space/blocks/hero-03/hero.tsx
(code for this file)

File path: components/shadcn-space/blocks/hero-03/navbar.tsx
(code for this file)

File path: components/shadcn-space/blocks/hero-03/navlink.tsx
(code for this file)

File path: components/shadcn-space/blocks/hero-03/index.tsx
(code for this file)

## Implementation Steps
1. Inspect components.json. Determine the correct aliased paths for components, utils, ui, lib, and hooks. Update all import statements and file paths in the code above to match before creating any files.
2. Install dependencies. Using the project's package manager (npm / yarn / pnpm / bun), install any dependencies and devDependencies listed in the block files.
3. Install shadcn/ui components. Using the appropriate shadcn CLI runner for the project (npx / pnpm dlx / bunx --bun), add any required shadcn/ui components.
4. Add global styles. Append only the CSS variables and custom styles referenced by this block to globals.css. Do not add unrelated styles.
5. Create block files. Write each file to the exact target path shown above. Do not rename or restructure files.
6. Verify imports. Ensure every import resolves correctly against the project's alias configuration. Fix any broken paths before finishing.

The component must be fully functional and visually match the provided code. Once all steps are complete, the block is ready to use in the project.

In the real prompt, the full code of each file sits under its file path. You'll see all five files below.

This prompt works for four reasons:

It states the exact stack, so the tool doesn't guess versions.
It lists exact file paths, so the tool doesn't restructure your project.
It gives ordered steps, so the tool checks your components.json before it writes any file.
It defines "done" in the last line, so the tool knows when to stop.

You can reuse this pattern for your own prompts.

The Generated Files

After the tool finishes, you should have five files. Read each one before you run the page.

app/hero-03/page.tsx

import HeroPage from "@/components/shadcn-space/blocks/hero-03/index";

const Page = () => {
  return (
    
  );
};

export default Page;

This file creates the /hero-03 route and renders the block.

components/shadcn-space/blocks/hero-03/hero.tsx

"use client";

import { useRef } from "react";
import { ArrowUpRight } from "lucide-react";
import { motion, useInView } from "motion/react";

const HeroSection: React.FC = () => {
  const sectionRef = useRef(null);
  const isInView = useInView(sectionRef, { once: true, amount: 0.1 });

  return (
    
      {/* Background Video */}
      
        
      

      {/* Overlay to improve text readability */}
      

      {/* Content */}
      
        
          
            
              
            
            
              We create high-performing{" "}
              digital designs that elevate brands and enhance conversions.
            
          
          
            
              SHADCN®SPACE
            
            
              
                
                  
                
              
            
          
        
      
    
  );
};

export default HeroSection;

How the hero works:

1. The video background: The video element uses loop, autoPlay, muted, and playsInline. Browsers only allow autoplay when the video is muted, and playsInline stops iPhones from opening the video in full screen. The object-cover class makes the video fill the section without stretching.

2. The overlay: The bg-black/50 layer sits on top of the video. This keeps the white text readable on any frame of the video.

3. Animation on scroll into view: The useInView hook returns true when 10 percent of the section is visible (amount: 0.1). The option once: true makes it fire one time, so the headline doesn't fade in again every time you scroll back.

4. Responsive headline: The headline size grows through breakpoints, from text-4xl on phones to xl:text-9xl on large screens. On small screens, the headline and the arrow stack in a column (flex-col), and from sm upward they sit in a row.

5. Why "use client" is needed: The file uses a hook (useRef, useInView) and Motion, which both need the browser. In the Next.js App Router, that needs the "use client" directive at the top.

components/shadcn-space/blocks/hero-03/navbar.tsx

"use client";

import { useEffect, useState, useRef } from "react";
import NavLink from "@/components/shadcn-space/blocks/hero-03/navlink";
import {
  DropdownMenu,
  DropdownMenuContent,
  DropdownMenuTrigger,
} from "@/components/ui/dropdown-menu";
import { Equal, X } from "lucide-react";
import { cn } from "@/lib/utils";
import { motion, useInView, AnimatePresence } from "motion/react";

type navData = {
  title: string;
  href: string;
};

type NavbarProps = {
  navigationData: navData[];
};

const Header = ({ navigationData }: NavbarProps) => {
  const [menuOpen, setMenuOpen] = useState(false);
  const [sticky, setSticky] = useState(false);
  const headerRef = useRef(null);
  const isInView = useInView(headerRef, { once: true, amount: 0.1 });

  const handleScroll = () => {
    setSticky(window.scrollY >= 80);
  };

  useEffect(() => {
    window.addEventListener("scroll", handleScroll);
    return () => {
      window.removeEventListener("scroll", handleScroll);
    };
  }, []);

  return (
    
      
        
          
        
        
          
            {menuOpen && (
               setMenuOpen(false)}
                className="fixed inset-0 z-40 bg-black/40 backdrop-blur-sm"
              />
            )}
          
            
              {/* Trigger */}
              
                
              
              {/* Content */}
              
                
                  {/* Header */}
                  
                    Menu
                    
                  
                  
                  {/* Navigation */}
                  
                    {navigationData.map((menuItem, index) => (
                      
                    ))}
                  
                  {/* Contact */}
                  
                    
                      +1-212-456-7890
                    
                    
                      info@wrappixel.com
                    
                  
                
              
            
        
      
    
  );
};

export default Header;

How the navbar works:

1. A sticky header with a growing background: The header uses sticky top-0. A before: pseudo-element starts at before:h-0 and grows to before:h-full when sticky is true. This makes the teal background slide down instead of switching instantly.

2. Scroll detection with cleanup: The handleScroll function sets sticky to true after 80px of scrolling. The useEffect adds the listener and removes it in the cleanup function. Without the cleanup, the listener would stay active after the component unmounts.

3. A controlled dropdown: The open and onOpenChange props tie the menu to the menuOpen state. That's why the close button and the overlay can close the menu from the outside.

4. An animated overlay: AnimatePresence lets the dark overlay fade out before it leaves the page. Without it, the overlay would vanish with no exit animation.

5. Theme tokens in the menu: The menu uses bg-background, text-foreground, text-muted-foreground, and border-border. These come from your shadcn/ui theme, so the menu follows your light and dark colors.

components/shadcn-space/blocks/hero-03/navlink.tsx

import { cn } from "@/lib/utils";

export type NavLinkItem = {
  title: string;
  href: string;
  isActive?: boolean;
};

export interface NavLinkProps {
  item: NavLinkItem;
  onClick?: () => void;
}

const NavLink: React.FC = ({ item, }) => {
  const { title, href, isActive } = item;

  return (
    
      
        
      
      
        {title}
      
    
  );
};

export default NavLink;

How the navigation link works:

1. Group hover: The group class on the li lets the icon wrapper react when the whole item is hovered, using group-hover: classes.

2. A reveal without layout jumps: The icon wrapper goes from max-w-0 to max-w-6, and the gap grows from gap-0 to gap-3. The overflow-hidden class hides the icon until there is room for it. The active link shows the icon all the time.

3. A typed item: The NavLinkItem type is exported, so the parent can use it to type its own data.

components/shadcn-space/blocks/hero-03/index.tsx

import Navbar from "@/components/shadcn-space/blocks/hero-03/navbar";
import { NavLinkItem } from "@/components/shadcn-space/blocks/hero-03/navlink";
import HeroSection from "@/components/shadcn-space/blocks/hero-03/hero";

const HeroPage = () => {
  const navigationData: NavLinkItem[] = [
    { title: "Home", href: "#", isActive: true },
    { title: "Properties", href: "#", isActive: false },
    { title: "Blog", href: "#", isActive: false },
    { title: "Contact", href: "#", isActive: false },
    { title: "Docs", href: "#", isActive: false },
  ];
  return (
    <>
      
      
        
      
    
  );
};

export default HeroPage;

How the index file works:

1. Data lives in one place: The navigationData array holds the links. The navbar only displays what it receives, so you can change links without touching the navbar.

2. A negative margin pulls the hero under the navbar: The navbar is h-20 (80px). The -mt-20 class on main moves the hero up by the same amount, so the video fills the full screen behind the sticky header.

What to Check Before You Run It

Before you open the page, read the code and check:

Imports: Each import path should match your components.json aliases.
Dependencies: The tool should have installed motion and lucide-react.
shadcn/ui components: The dropdown-menu component should exist in components/ui. If it doesn't, run npx shadcn@latest add dropdown-menu.
Class names: Tailwind ignores classes it doesn't know, so a typo fails without any error. In navbar.tsx, the nav element has item-center, and the correct class is items-center. You'll fix this in Step 4.

Spending a few minutes on this check saves much more time later.

Step 3: How to Build with Reusable shadcn/ui Components

AI tools often repeat the same markup. A menu, a button, and a card each get their own hand-written styles, and no two look the same. Shared components fix this problem.

This block shows three habits you can copy.

Use One Component for Each Job

The menu uses shadcn/ui DropdownMenu instead of a hand-built menu. You get keyboard support, focus handling, and correct accessibility attributes from one tested component. If you add a second dropdown on another page, it looks and behaves the same.

Use `cn()` for Conditional Classes

The navbar and the navigation link both use cn() from @/lib/utils. It merges class names and handles conditions, such as sticky && "before:h-full". It also removes conflicting Tailwind classes, which plain template strings don't do.

Keep Data Apart from Markup

The links live in the navigationData array and the NavLink component renders them. To add a page, you add one object to the array. You don't write any new JSX.

When to Start from a Block

A hero and a navbar are just the start. A real product also needs sidebars, tables, and charts. Writing all of these from prompts takes time, and the output often looks different from page to page.

A block gives you a tested starting point, and prompts handle the changes. If you build an admin area, look at the shadcn dashboard blocks. They give you layouts for the sidebar, the header, and the content areas.

The hero in this tutorial uses Motion for fade-ins, a spinning icon, and a scroll-based reveal. If your page needs more motion, the shadcn animated blocks collection shows how animation is structured in blocks like this one.

Before you use any block, read its code and check its license, as you would for any package.

Step 4: How to Improve the Result with Follow-Up Prompts

Treat the first result as a draft. Change one thing per prompt, so you can see what each prompt did. If a change breaks something, undo it with Git and make the next prompt narrower.

Fix a Typo

Start with the class name from Step 2:

In components/shadcn-space/blocks/hero-03/navbar.tsx, change the class "item-center" to "items-center" on the motion.nav element.
Do not change anything else.

Make Colors Consistent

The block uses fixed teal-400 classes in several places. A theme token is easier to change later:

Replace every teal-400 class in the hero-03 block files with the primary theme token. If needed, add the color to the CSS variables in globals.css. Do not change anything else.

After this change, you can restyle the whole block by editing one CSS variable.

Improve Responsive Behavior

In hero.tsx, make the headline wrap on screens narrower than 640px and keep the arrow button below the headline. Keep desktop styles unchanged.

Handle a Slow Video

The video loads from a remote URL. Until it loads, the user sees the section background. Ask for a clear fallback:

In hero.tsx, add a poster attribute to the video element. Keep the
bg-black background on the section so the text stays readable while the video loads or if it fails.

The navbar maps over navigationData. If the array is empty, the menu opens with no links. Ask the tool to handle that case:

In navbar.tsx, if navigationData is empty, do not render the menu button.

The tool should wrap the dropdown in a check like this:

{navigationData.length > 0 && (
  
    {/* trigger and content stay the same */}
  
)}

Move Fixed Content into Props

The navbar has a phone number and an email address written inside the component. Props make the navbar reusable:

In navbar.tsx, add two props: phone and email. Use them in place of the hard-coded phone number and email address. Update index.tsx to pass the values. Keep all styles unchanged.

After each prompt, review the changed files, run the page, and commit when it works.

Step 5: How to Run and Customize the Final UI

Start the development server:

npm run dev

Open http://localhost:3000/hero-03 in your browser. This is the route that app/hero-03/page.tsx creates.

Run These Checks

Resize the window to about 375px wide: The headline should shrink, and the content should stay on screen.
Open the menu: Close it with the close button, the overlay, and the Escape key.
Use the keyboard: Press Tab and confirm that the menu button shows a visible focus state.
Scroll down: The navbar should stay at the top, and its teal background should slide in after 80px.
Hover a link: The spinning icon should appear next to it.
Check for errors: Run these two commands:

npx tsc --noEmit
npm run lint

Customize the Page

You can customize the page by updating its navigation, content, assets, contact details, and theme styles.

Open index.tsx and edit the navigationData array to change menu labels and URLs.

const navigationData = [
  { title: "Home", href: "/" },
  { title: "Features", href: "/features" },
  { title: "Pricing", href: "/pricing" },
  { title: "Contact", href: "/contact" },
];

Make sure each link points to a valid route in your application.

2. Change the Headline and Text

Open hero.tsx and replace the existing heading, description, and button labels with your content.

Build Your Next Project Faster
Explore reusable UI components for your next web application.

Keep the existing layout and component structure intact.

3. Replace Images, Videos, and Icons

Add your assets to the public directory and update their paths in the relevant components.

For example, public/images/logo.svg is accessible at /images/logo.svg.

4. Update Contact Details

Open navbar.tsx and replace the existing phone number and email address.

+1 (555) 123-4567
hello@example.com

Use your actual contact details and update any other components that display them.

5. Change Theme Colors

Edit the CSS variables in globals.css to update your page colors.

:root {
  --primary: #2563eb;
  --background: #ffffff;
  --foreground: #111827;
}

Use the variable names already defined in your project, and update the dark theme variables if your application supports dark mode.

Open components/ui/dropdown-menu.tsx and update the relevant Tailwind CSS classes.

For example, change rounded-sm px-2 py-1.5 to rounded-md px-3 py-2 to adjust the dropdown item's corners and spacing.

Changes to this shared component may affect every dropdown that uses it, so test the menus across your application.

7. Run and Test Your Changes

Start the development server and check that everything works as expected.

npm run dev
npm run lint
npm run build

Check package.json for the available scripts before running lint and build commands.

Always test AI-generated code before shipping it. Code that looks correct can still fail to build, load assets incorrectly, or behave unexpectedly in the browser (more on this below).

Live Preview:

How I Check AI-Generated Code Before Deployment

AI coding agents can create or modify multiple files, install dependencies, and run terminal commands. I treat the agents' output as a starting point, not production-ready code. Before deploying, I review the changes and verify that the application behaves as expected.

Here are the checks I recommend before shipping AI-generated code:

1. Review the Changes

Check which files the agent created or modified. Review the code to understand what changed, whether it follows your existing project structure, and whether it introduces unnecessary dependencies or unrelated modifications.

With Git, you can inspect the changes using:

git diff
git status

If you don't understand a change, ask the agent to explain its purpose and potential side effects before accepting it.

2. Run the Application and Test Key Interactions

Start the development server and open the application in your browser. Test the features you changed instead of checking only whether the page loads.

For example, verify that navigation links work, dropdowns open and close, buttons perform their intended actions, forms validate input, and images or videos load correctly. Also check how the page behaves on mobile and desktop screen sizes.

Open the browser's developer console and look for JavaScript errors, failed network requests, and missing assets.

3. Run Automated Checks

Use the scripts available in your package.json to check code quality, run tests, and verify the production build.

npm run lint
npm test
npm run build

These are common examples, not universal commands. Your project may not define a test script, so check the available scripts first. Fix any relevant errors before proceeding.

4. Check Security and Configuration

Review new dependencies, API calls, environment variables, and any code that handles user input or sensitive data. Never expose API keys or secrets in client-side code, and don't run unfamiliar commands from an AI agent without understanding what they do.

For applications handling authentication, payments, or user data, perform additional security checks appropriate to those features.

5. Verify Before Deploying

Before shipping, confirm that the production build succeeds, the main user flows work, and no important functionality has regressed. Review the final changes once more and deploy to a staging environment first when one is available.

My rule is simple: if I can't explain what the generated code does, I'm not ready to ship it. AI agents can speed up development, but reviewing, testing, and taking responsibility for the final code remain the developer's job.

Key Concepts Recap

A Prompt Is a Spec

A good UI prompt states the layout, components, colors, spacing, and responsive behavior. It also names the stack, lists the file paths, gives ordered steps, and defines what "done" means.

Two Ways to Get a Prompt

You can write a prompt with an AI tool, or copy the prompt from a free or pro block page and paste it into any AI tool.

Read Before You Run

Check generated code for wrong imports, missing dependencies, class name typos, and fixed values. Tailwind ignores unknown classes, so typos fail silently.

Reuse Components

Shared shadcn/ui components give you consistent behavior and styling. Use cn() for conditional classes, and keep data in arrays apart from markup.

Group Hover and Logical Layout

The group class lets a child respond to its parent's hover state. The navigation link uses it to reveal an icon without a layout jump.

Scroll-Based Animation

useInView with once: true runs an animation one time when an element enters the screen.

`"use client"` in Next.js

Any file that uses hooks, browser events, or Motion needs the "use client" directive at the top.

Small Follow-Up Prompts

Change one thing per prompt, review the diff, and commit after each good result.

Conclusion

In this tutorial, you learned how to build a website user interface using AI prompts. You wrote a prompt that covers layout, components, colors, spacing, and responsive behavior. You generated a hero section with an animated navbar, inspected every file, and improved the result with small follow-up prompts.

You also saw why shared components matter. The dropdown menu, the cn() helper, and the data-driven links keep the code consistent, and blocks give you a strong starting point for larger pages.

On your next page, write the spec first, name your stack and your files, and read the output before you move on. This habit gives you better results from any AI coding tool.

Resources

Shadcn UI: Collection of copy-paste shadcn/ui components, blocks, templates, and dashboard layouts.
Shadcn Space: Free and pro blocks library with copyable prompts.
Shadcn Dashboard Blocks: Ready-made admin layouts with sidebars and content areas.
Shadcn Animated Blocks: Blocks that use motion.
Next.js Documentation
Tailwind CSS Documentation
Motion Documentation
Lucide Icons

How AI is Changing the Way We Code

Alex Tray — Thu, 14 Aug 2025 15:34:29 +0000

Something big is happening in the world of software development. In 2025, the way we write, read, and think about software has undergone a significant shift, and it’s not subtle. At the center of this shift is artificial intelligence.

Just five years ago, AI was primarily a helper, nudging us with autocomplete, suggesting fixes, and streamlining workflows. Today, it’s far more hands-on. Tools powered by large language models (LLMs) are stepping up to handle tasks that once required years of developer experience.

Tools have matured. Adoption has exploded. And developers are embracing the idea that AI isn't a threat but a co-pilot.

This isn’t a story about replacement. It’s a story about partnership. In 2025, programmers are still programming. But how they do it and how much faster, smarter, and creatively they work, is a whole new ballgame.

The Rise of AI-Powered Coding Tools
How AI is Transforming the Coding Process (Step-by-Step)
The Implications: Productivity, Creativity, and Risks
And What’s Next?

The Rise of AI-Powered Coding Tools

There’s a reason your favorite code editor now feels like it’s reading your mind. AI-powered tools are everywhere, and they’ve become remarkably effective.

From Assistants to Co-Coders

When GitHub Copilot first launched, people weren’t sure what to expect. Could it actually write usable code? Would it be more of a novelty than a necessity?

Fast forward to today. Copilot, Amazon CodeWhisperer, Tabnine, and others have gone from helpful to essential. They’ve been trained on millions of code repositories and developer conversations. They don’t just suggest what’s next but understand the why behind it.

Take a solo dev in Jakarta building a delivery app. With Copilot in VS Code, they can scaffold backend logic and set up APIs in half the time.

However, it’s critical to understand that these tools don’t replace foundational programming knowledge. The AI might offer a working solution but it’s still up to you to ensure it’s secure, efficient, and bug-free. Developers need to know why a certain approach works, or when an AI-generated solution might introduce risk. Just like a senior developer, you must be able to review, validate, and adjust the AI's output based on context.

Built Right Into the Editor

Thanks to OpenAI’s GPT-4 and now GPT-4o, AI is no longer just sitting on the sidelines. It’s woven into IDEs like VS Code and JetBrains, as well as browser-based tools. You write a comment and it writes the function. You paste a bug and it suggests a fix. You ask for a performance boost and it rewrites the loop.

Even advanced software like an AI voice generator is being built into dev tools, so developers can talk instead of typing. Devs are already building a lightweight to-do app just by speaking commands through AI voice generators integrated with their IDE.

It’s not just your average fancy plugin – but a new baseline.

Everyone’s Using It

What started with early adopters has gone mainstream. Freelancers, small dev shops, and global enterprises are building faster with AI. Startups use it to ship MVPs. Enterprises use it to refactor legacy code. Cybersecurity specialists use AI to detect malware, strengthen digital defenses, and automate threat response.

Still, simply using the tool isn't enough. As a developer, especially if you’re just starting out, you need to learn how to interpret the code AI gives you. AI might write a function that works, but unless you understand its logic and implications, you can’t guarantee its correctness or security. This is where core programming knowledge becomes your superpower.

One team recently migrated a decade-old Java codebase with the help of Copilot, resulting in cleaner, safer, and clearer logic. No massive rewrite was required.

Another emerging trend is the intersection of AI and QR codes, where developers are utilizing AI to generate dynamic, context-aware QR codes that adapt to user behavior or location. These smart QR codes are integrated into applications for seamless user onboarding, multi-language content delivery, or dynamic promotions – all generated or managed with minimal manual coding thanks to AI.

Image Source

How AI is Transforming the Coding Process (Step-by-Step)

Coding has always been a mix of logic, creativity, and structure. AI doesn't change that, it just speeds up the messy parts and adds a fresh layer of insight.

Let’s walk through how AI now fits into the entire software creation process.

Idea to Code Translation

You have a rough idea – maybe it's a weather app. Perhaps it's a script that automatically generates reports. You used to write out specifications and slowly translate your thoughts into a structured format.

Now? You type: “Build a weather app using OpenWeatherMap API with hourly forecast.” AI drafts the scaffolding – functions and API calls – in seconds.

But here’s the catch: while AI can quickly generate the basic structure, like setting up API calls, fetching data, and laying out simple UI elements, it doesn’t always validate whether the API key is securely stored, if error handling is robust, or if the UI is accessible.

As a developer, you still need to review the logic, sanitize inputs, handle edge cases like failed API responses, and ensure the app is secure and performant. AI handles the routine, but you handle the responsibility.

Auto-Completion and Pair Programming

Autocomplete is no longer just about closing parentheses. It’s full-function suggestions, logical next steps, and even inline comments.

With AI, it’s like coding with a buddy who never gets tired. You type a few lines and it fills in the next block. You tweak it. It adapts.

A front-end developer in a remote team codes with GPT-4 side by side. One line at a time, like pair programming, but with much more patience.

Example Prompt: "Using React and Tailwind CSS, create a responsive navigation bar with a logo on the left and links on the right. The navbar should turn into a hamburger menu on mobile."

AI’s Answer:

import React, { useState } from "react";

export default function Navbar() {

  const [open, setOpen] = useState(false);

  return (

    <nav className="bg-white shadow-md">

      <div className="max-w-7xl mx-auto px-4 flex justify-between items-center h-16">

        <div className="text-xl font-bold">MyLogodiv>

        <div className="hidden md:flex space-x-6">

          <a href="#">Homea>

          <a href="#">Abouta>

          <a href="#">Contacta>

        div>

        <button

          className="md:hidden"

          onClick={() => setOpen(!open)}
        >

          ☰

        button>

      div>

      {open && (

        <div className="md:hidden px-4 pb-4">

          <a href="#">Homea>

          <a href="#">Abouta>

          <a href="#">Contacta>

        div>

      )}

    nav>
  );
}

What’s good:

It’s a clear, working example
It uses Tailwind utility classes for quick styling
It demonstrates responsive behavior without extra libraries

What could be better:

No accessibility features like aria attributes.
The hamburger icon is basic text instead of an SVG or icon component.
No animation for menu toggle.

A well-structured prompt gives AI clear instructions (framework, styling tool, behavior). The more specific you are, the closer the AI output will match your intended result. But you’ll still need to review the code it outputs for best practices and accessibility – and as long as you know to check for these key features, you can work with the AI to improve the code it generates.

As you can see, it’s not enough to let AI autocomplete for you without any oversight. You still need to understand what it’s completing. Why does this code work? Is it the best way to do it? Could there be a security loophole? Beginners should treat AI suggestions as opportunities to learn, not shortcuts to skip thinking.

Code Review and Debugging

Tired of squinting at error logs? AI now reads them for you and explains them in plain English.

Say you feed it an error message. It tells you what’s wrong, how to fix it, and even features examples.

Now, developers use tools like ChatGPT for instant code debugging by simply pasting in the buggy chunk and asking what’s wrong. No waiting for a teammate or filtering through logs for hours.

Example Prompt: "Here’s my Python code. It’s supposed to read a JSON file and print the 'name' field, but I’m getting a TypeError: string indices must be integers. Can you find the bug and fix it?"

import json

with open('data.json', 'r') as f:

    data = f.read()

print(data['name'])

AI Answer: The error occurs because json.load() or json.loads() is required to convert the JSON string into a dictionary. Currently, you’re working with a plain string, so indexing it with 'name' causes the TypeError.

Here’s the corrected code:

import json

with open('data.json', 'r') as f:

    data = json.load(f)

print(data['name'])

What’s good:

AI explains why the error happens, not just the fix.
Provides a working corrected version.
Uses the correct method for JSON parsing.

What could be better:

No suggestion for adding error handling (for example, file not found or missing key).
Doesn’t check if 'name' exists before accessing it.

So here, you can see that a clear, context-rich prompt with both the code and error message lets AI give accurate, targeted help. But even with a good fix, you should still review for edge cases and best practices.

Refactoring and Optimization

Legacy code is hard to touch. But AI makes it easier.

You prompt, “optimize for performance,” and it rewrites loops, applies patterns, and removes dead code.

AI tools now help developers spot and fix performance issues like redundant loops or inefficient logic without manual rewrites.

Example Prompt: "Here’s my Python code for summing a list. Can you optimize it for performance and readability?"

total = 0

for i in range(len(numbers)):

    total = total + numbers[i]

print(total)

AI’s Answer: Your current code loops through indices unnecessarily. In Python, using the built-in sum() function is more efficient and concise.

print(sum(numbers))

What’s good:

AI replaced a verbose loop with a highly optimized built-in function.
Improved readability dramatically.
Reduces the chance of introducing bugs during refactoring.

What could be better:

AI didn’t check if the numbers are guaranteed to be a list of numeric values.
No performance benchmark to show improvement.

The more specific you are with your optimization request (for example, “optimize for speed without losing readability”), the better AI can balance performance and maintainability. A good refactor isn’t just faster – it’s safer and easier to understand.

Learning and Skill Acceleration

Coding used to mean searching Stack Overflow for hours. That’s changed.

Now, you ask the AI tool: “Why does this line break?” It replies – context-aware and accurate.

If you're a junior developer, learn asynchronous JavaScript by watching Copilot. With an AI tool like Copilot by your side, you can complete your loops, correct mistakes, and get real-time explanations of what the code is doing.

The AI becomes a sort of tutor – suggesting solutions, providing reasoning, and helping you understand programming concepts as you build.

Example Prompt: "Can you explain what async and await do in JavaScript and show me an example of fetching data from an API using them?"

AI’s Answer: In JavaScript, async makes a function return a promise, and await pauses the function until the promise resolves. This allows you to write asynchronous code that looks synchronous.

Example:

async function getUserData() {
  try {
    const response = await fetch('https://api.example.com/users/1');
    const data = await response.json();
    console.log(data);
  } catch (error) {
    console.error('Error fetching data:', error);
  }
}

getUserData();

What’s good:

Clear explanation before showing the code.
Example demonstrates real-world usage with error handling.
Combines both concept explanation and practical application.

What could be better:

Could include a comparison with traditional .then() syntax for deeper understanding.
Doesn’t mention browser compatibility or polyfills for older environments.

For learning, the best prompts are concept + example requests. They help AI give explanations that stick and code you can directly experiment with – accelerating both understanding and hands-on skills.

AI in No-Code/Low-Code Platforms

AI has also blurred the line between devs and non-devs. A non-developer can now understand what the site requires by leveraging the power of AI. You engineer a prompt according to your requirements, use the output, and get on with your life.

AI prompts now power tools like Bubble, Glide, and Webflow. Users describe what they want. AI builds workflows, creates logic, and connects data sources.

However, this doesn’t mean AI replaces the need for a knowledgeable developer—especially if you’re aiming to build a secure, accessible, and production-ready application. While AI can generate working prototypes or components, it won’t always account for performance optimization, data privacy, or UX best practices. These areas still require human judgment, technical know-how, and experience.

Here is an example of a 'Back To Top' button that can be integrated into any website.

Example Prompt: “Create a simple HTML, CSS, and JavaScript snippet that displays a "Back to Top" button when the user scrolls down, and smoothly scrolls to the top of the page when clicked.”

AI’s Answer:



<button id="backToTop">⬆ Back to Topbutton>



<style>

  #backToTop {

    display: none;

    position: fixed;

    bottom: 40px;

    right: 40px;

    padding: 10px 15px;

    font-size: 14px;

    background-color: #333;

    color: white;

    border: none;

    border-radius: 4px;

    cursor: pointer;

    z-index: 1000;

  }

style>



<script>

  const btn = document.getElementById("backToTop");

  window.onscroll = () => {

    if (document.body.scrollTop > 200 || document.documentElement.scrollTop > 200) {

      btn.style.display = "block";

    } else {

      btn.style.display = "none";

    }

  };
  btn.onclick = () => {

    window.scrollTo({ top: 0, behavior: 'smooth' });
  };

What’s good:

Clean, minimal code that’s easy to integrate into any webpage.
Smooth scrolling for a better user experience.
Works without external libraries, keeping load time light.
Positioning ensures the button is always visible when active.

What could be better:

No accessibility attributes (aria-label) for screen readers.
No hover/focus styles for better UX feedback.
No debounce on scroll listener – might slightly impact performance on heavy pages.
Hardcoded colors and positions limit customization without editing CSS.

The prompt is clear and specific, so the AI produced a working, minimal solution. But a production-ready version should include accessibility features, performance considerations, and style enhancements

Collaboration and Workflow Automation

AI doesn’t just touch code – it touches the entire development lifecycle. And automation is just one facet of what AI can do.

AI now auto-generates test cases. It syncs documentation. It creates changelogs from commits. It even suggests sprint tasks based on new PRs. It can also turn your user requirements into slide decks generated with AI, ready for presenting to the stakeholders.

Example Prompt: "From these Git commit messages, generate a release changelog in markdown format for version 2.1. Make it clean and easy to read for non-technical stakeholders."

fix: corrected API timeout issue in user login  

feat: added dark mode support for dashboard  

chore: updated dependencies to latest versions  

feat: integrated payment gateway with PayPal support

AI’s Answer:

## 🚀 Version 2.1 Release Notes

### New Features

- Added dark mode support for the dashboard.  

- Integrated payment gateway with PayPal support.  

### Fixes

- Resolved API timeout issue during user login.  

### Maintenance

- Updated dependencies to the latest versions for improved stability.

What’s good:

Output is clean, well-structured, and non-technical friendly.
Groups changes into categories for clarity.
Uses simple markdown for easy sharing.

What could be better:

Could add the release date automatically.
No links to PRs or related tickets for deeper context.

For workflow automation, prompts work best when they clearly define the input format, output style, and audience. This ensures the AI produces something that is correct and presentation-ready without extra edits.

Every workplace, whether a small startup or a big tech company, relies on automation today. Chats, follow-ups, and performance marketing are all automated.

Image Source

The Implications: Productivity, Creativity, and Risks

So yes, things are moving faster. But that speed comes with new developments and challenges as well.

The Productivity Boom

Developers are shipping faster than ever. Some reports show gains of 2–3 times in feature rollout speed. Bug fixes that took days now happen in hours.

This isn’t just about speed. It’s about staying in flow. When AI handles tedious tasks, developers get more time for thoughtful design and tackling bigger problems.

Creativity Has Found a New Shape

Here’s the catch: when AI does the heavy lifting, it’s easy to go on autopilot. There’s a risk that developers stop thinking deeply about structure or algorithms. Relying too much on AI suggestions can lead to a shallow understanding.

In 2025, the best developers aren’t just writing code. They’re guiding what AI builds, and creativity shifts from doing to directing.

Ethical Concerns

AI-generated code can raise ethical flags.

Plagiarism: If the AI is trained on copyrighted code, where’s the line?
Bias: Some AI tools may suggest insecure patterns or biased logic.
Overtrust: Just because the AI writes it doesn’t mean it’s right.

Often, AI tools output incorrect logic or code. ChatGPT often says, ‘It doesn’t feel like generating long code.’ In some cases, they may even stop short of generating full-length code snippets, either due to internal safety filters, token limits, or vague prompts, resulting in partial or unusable output. Sometimes it doesn't work, and that becomes a problem.

Developers need to be diligent in reviewing, testing, and taking ownership of the code they write. AI is fast, but it’s not foolproof.

Jobs Are Changing

No, AI hasn’t wiped out developer jobs. But the job description is evolving.

In 2025, “prompt engineer” is more than just a trend. It’s a real skill. Knowing how to give the proper instruction – what to say, how to say it, and when – is becoming core to modern dev work.

New roles are emerging: AI trainers, code curators, and integration specialists.

AI is changing coding, but it’s not replacing coders. The future of AI is reshaping how we work, what we focus on, and how we solve problems.

The shift is here: from writing every line by hand to steering intelligent tools. From debugging blindly to spotting issues with clarity. From repetitive tasks to higher-level thinking.

We’re not in the age of AI dominance. We’re in the age of AI partnership.

And What’s Next?

Expect custom LLMs tailored to your codebase. AI-native frameworks that generate production-grade apps from wireframes. Guardrails that ensure quality and security by default.

The future isn’t about less code. It’s about writing better code with better tools, more intelligent helpers, and faster feedback.

That’s not science fiction. That’s 2025.

AI prompts - freeCodeCamp.org

How to Build a Website User Interface Faster Using AI Prompts

Table of Contents

Prerequisites

Why shadcn/ui?

What is ShadcnSpace?

What You'll Build

Step 1: How to Write an Effective UI Prompt

Option 1: Generate a Prompt with an AI Tool

Option 2: Copy a Prompt from a Block Page

Step 2: How to Generate the First UI

The Generated Files

SHADCN®SPACE

What to Check Before You Run It

Step 3: How to Build with Reusable shadcn/ui Components

Use One Component for Each Job

Use cn() for Conditional Classes

Keep Data Apart from Markup

When to Start from a Block

Step 4: How to Improve the Result with Follow-Up Prompts

Fix a Typo

Make Colors Consistent

Improve Responsive Behavior

Handle a Slow Video

Handle an Empty Menu

Move Fixed Content into Props

Step 5: How to Run and Customize the Final UI

Run These Checks

Customize the Page

1. Update Navigation Links

2. Change the Headline and Text

Build Your Next Project Faster

3. Replace Images, Videos, and Icons

4. Update Contact Details

5. Change Theme Colors

6. Customize Dropdown Styles

7. Run and Test Your Changes

Live Preview:

How I Check AI-Generated Code Before Deployment

1. Review the Changes

2. Run the Application and Test Key Interactions

3. Run Automated Checks

4. Check Security and Configuration

5. Verify Before Deploying

Key Concepts Recap

A Prompt Is a Spec

Two Ways to Get a Prompt

Read Before You Run

Reuse Components

Group Hover and Logical Layout

Scroll-Based Animation

"use client" in Next.js

Small Follow-Up Prompts

Conclusion

Resources

How AI is Changing the Way We Code

Table of Contents

The Rise of AI-Powered Coding Tools

From Assistants to Co-Coders

Built Right Into the Editor

Everyone’s Using It

How AI is Transforming the Coding Process (Step-by-Step)

Idea to Code Translation

Auto-Completion and Pair Programming

Code Review and Debugging

Refactoring and Optimization

Learning and Skill Acceleration

AI in No-Code/Low-Code Platforms

Collaboration and Workflow Automation

The Implications: Productivity, Creativity, and Risks

The Productivity Boom

Creativity Has Found a New Shape

Ethical Concerns

Jobs Are Changing

And What’s Next?

Use `cn()` for Conditional Classes

`"use client"` in Next.js