DEV Community: Aneeqa Khan

useReducer or Redux Reducer? How to Tell Which You Need

Aneeqa Khan — Wed, 18 Feb 2026 09:10:00 +0000

If you’ve worked with React long enough, you’ve probably seen two things with “reducer” in the name:

The useReducer hook in React
Reducers in Redux

They sound similar… and they kind of are — but they live in different neighbourhoods.

Let’s break it down.

🎯 The Core Idea: What’s a Reducer?

Both useReducer and Redux reducers are built on the same concept:
A reducer is just a function that:

Takes the current state and an action
Returns the next state

In plain JavaScript, it looks like this:

function reducer(state, action) {
  switch (action.type) {
    case 'increment':
      return { count: state.count + 1 };
    case 'decrement':
      return { count: state.count - 1 };
    default:
      return state;
  }
}

No side effects. No mutations. Just a pure function.

🪝 `useReducer` in React

useReducer is a React hook for managing state in a single component (or a small group of components via props or context).

Example:

import React, { useReducer } from 'react';

function Counter() {
  const initialState = { count: 0 };

  function reducer(state, action) {
    switch (action.type) {
      case 'increment':
        return { count: state.count + 1 };
      case 'decrement':
        return { count: state.count - 1 };
      default:
        return state;
    }
  }

  const [state, dispatch] = useReducer(reducer, initialState);
  return (
    <>
      <p>Count: {state.count}</p>
      <button onClick={() => dispatch({ type: 'increment' })}>+</button>
      <button onClick={() => dispatch({ type: 'decrement' })}>-</button>
    </>
  );
}

Key points about useReducer:

State is local to the component (unless you manually share it via context)
No middleware, no dev tools, no global store
Great for complex local state updates

🏪 Redux Reducers

In Redux, a reducer works the same way — but instead of local state, it updates a global store that can be accessed anywhere in your app.

Example:

// reducer.js
function counterReducer(state = { count: 0 }, action) {
  switch (action.type) {
    case 'increment':
      return { count: state.count + 1 };
    case 'decrement':
      return { count: state.count - 1 };
    default:
      return state;
  }
}
export default counterReducer;

// store.js
import { createStore } from 'redux';
import counterReducer from './reducer';

const store = createStore(counterReducer);

// Component.jsx
import { useSelector, useDispatch } from 'react-redux';

function Counter() {
  const count = useSelector(state => state.count);
  const dispatch = useDispatch();

  return (
    <>
      <p>Count: {count}</p>
      <button onClick={() => dispatch({ type: 'increment' })}>+</button>
      <button onClick={() => dispatch({ type: 'decrement' })}>-</button>
    </>
  );
}

Key points about Redux reducers:

State is global
Supports powerful middleware (like Redux Thunk, Redux Saga)
Integrated with dev tools for debugging
Usually used in large, complex apps

🔍 How They’re the Same

Both are built on the same reducer concept from functional programming.

🔀 How They’re Different

💡 Which Should You Use?

Use useReducer when:

The state is complex, but only relevant to one component or a small subtree.
You don’t need global state sharing.
You want to avoid pulling in Redux for something small.

Use Redux reducers when:

You need global state management.
You want advanced debugging, time travel, and middleware.
Your app is big enough to justify the extra setup.

🏁 Final Takeaway

useReducer and Redux reducers are like bicycles and buses — they both get you from state A to state B, but one is for short, personal trips (local component state), and the other is for carrying the whole city (global app state).

They share the same functional programming DNA, but live in different ecosystems.

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

Most React Developers Get This Wrong About useEffect

Aneeqa Khan — Wed, 11 Feb 2026 09:30:00 +0000

In React, useEffect is a powerful tool. It lets your component “talk” to things outside of React — like setting up a timer, syncing data with a server, or working with the browser directly (e.g. changing the page title). This is useful when you're working with external systems.

But here’s the thing: many people use useEffect even when they don’t need to.

Using unnecessary useEffect can:

Make your code harder to read
Introduce bugs
Make your app slower

Let’s understand when you don’t need an useEffect, and what you should do instead.

🚫 Don’t Use Effect to Transform Data

Suppose you’re combining first and last names into a full name. You might think of using an Effect to do this:

import { useState, useEffect } from 'react';
function Form() {
  const [firstName, setFirstName] = useState('Taylor');
  const [lastName, setLastName] = useState('Swift');
  // ❌ Unnecessary useEffect
  const [fullName, setFullName] = useState('');
  useEffect(() => {
    setFullName(firstName + ' ' + lastName);
  }, [firstName, lastName]);
}

This looks okay, but it’s overkill. You’re using an Effect to calculate something that React can do naturally during rendering.

Here’s a better way:

function Form() {
  const [firstName, setFirstName] = useState('Taylor');
  const [lastName, setLastName] = useState('Swift');
  // ✅ No Effect needed
  const fullName = firstName + ' ' + lastName;
}

It’s simpler, faster, and easier to understand. React will automatically re-render the component when firstName or lastName change, and fullName will be updated.

🚫 Don’t Use Effects to Handle User Events

You also don’t need an Effect to update the state after a button click or input change.

Here’s a common mistake:

function Counter() {
  const [count, setCount] = useState(0);
  const [double, setDouble] = useState(0);
 // ❌ Don't use Effect for derived state
  useEffect(() => {
    setDouble(count * 2);
  }, [count]);

  return (
    <>
      <button onClick={() => setCount(count + 1)}>Increment</button>
      <p>Double: {double}</p>
    </>
  );
}

Instead, calculate double directly:

function Counter() {
  const [count, setCount] = useState(0);
  // ✅ No Effect needed
  const double = count * 2;

  return (
    <>
      <button onClick={() => setCount(count + 1)}>Increment</button>
      <p>Double: {double}</p>
    </>
  );
}

You only need to store the state that changes independently. If you can compute a value from the existing state, just compute it.

✅ When Do You Need an Effect?

You need an Effect when you’re dealing with something outside React. Here are some examples:

✅ Fetching Data from an API

useEffect(() => {
  fetch('/api/user')
    .then(res => res.json())
    .then(data => setUser(data));
}, []);

You’re fetching data from a server — that’s an external system.

✅ Subscribing to an Event

useEffect(() => {
  function handleResize() {
    setWidth(window.innerWidth);
  }
  window.addEventListener('resize', handleResize);
  return () => window.removeEventListener('resize', handleResize);
}, []);

You’re interacting with the browser (outside React), so useEffect is necessary.

✅ Setting a Timer

useEffect(() => {
  const id = setInterval(() => {
    console.log('Tick');
  }, 1000);
  return () => clearInterval(id); // Cleanup
}, []);

Again, this involves something external (the browser timer), so you need an Effect.

🎯 Summary

Before using useEffect, ask yourself:

🔹 Am I syncing with something outside React?
🔹 Or can I just calculate this during render?

Use the state only for data that can’t be calculated. Avoid redundant state and unnecessary Effects. It makes your React code cleaner, faster, and easier to debug.

🔁 Quick Reference

Do You Need useEffect?

Combining two pieces of state. ❌ No
Updating derived values. ❌ No
Responding to user clicks. ❌ No
Fetching data from the API. ✅ Yes
Setting timers or intervals. ✅ Yes
Subscribing to external events. ✅ Yes

Let React do the heavy lifting for you — only use Effects when truly needed!

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

How Behaviour-Driven Development Changes the Way You Code

Aneeqa Khan — Thu, 05 Feb 2026 17:10:31 +0000

Behaviour-Driven Development (BDD) is a modern software development approach that extends Test-Driven Development (TDD) by emphasising collaboration among developers, QA teams, and non-technical stakeholders. It focuses on the expected behaviour of an application through clear, human-readable descriptions that guide the development process.

📌 Core Concept

At its core, BDD encourages teams to write tests in a natural language style, describing how the software should behave from the end user’s perspective. These descriptions form the basis of automated tests and serve as a living specification for the system.

Instead of asking “How will we implement this?”, BDD starts with the question: “How should this feature behave?”

🧩 Key Components of BDD

User-Centric Scenarios BDD scenarios are typically written in a Given-When-Then format:

Given some context,
When an action is carried out,
Then an expected result should occur.

Common Language
Using a shared language (often Gherkin syntax), BDD bridges the gap between technical and non-technical team members, ensuring everyone understands what the system is supposed to do.
Living Documentation
Because scenarios are written in plain language and tied to automated tests, they serve as up-to-date documentation that evolves with the codebase.

🛠️ BDD Tools

Some popular tools used to implement BDD include:

Cucumber (Java, Ruby, etc.)
SpecFlow (.NET)
Behave (Python)
Jest + Jasmine (JavaScript/TypeScript BDD-style)

These tools parse scenarios written in plain English and link them to code that performs the test steps.

✅ Benefits of BDD

Improved collaboration: Encourages communication between developers, testers, and business stakeholders.
Clear requirements: Features are described in terms of behaviours and outcomes.
Fewer misunderstandings: Misaligned expectations are minimised due to upfront clarification.
Test coverage: Promotes writing meaningful tests before development begins.

⚠️ Common Pitfalls

Misusing BDD as just another testing framework without involving non-technical team members.
Overcomplicating scenarios, making them unreadable and hard to maintain.
Lack of discipline, leading to outdated or unused specs.

🧠 Final Thoughts

Behaviour-Driven Development isn’t just a way to write tests — it’s a mindset shift toward clearer communication, shared understanding, and delivering business value. When applied correctly, BDD helps teams stay aligned, reduces bugs, and produces software that better meets user needs.

Whether you’re working in a startup or a large enterprise, embracing BDD can improve both the process and the product.

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

How to Integrate OpenAI in a React App (Step-by-Step)

Aneeqa Khan — Tue, 22 Jul 2025 18:51:12 +0000

Artificial Intelligence is revolutionising web development, and integrating OpenAI’s GPT API into your React application can open up a world of interactive, intelligent features. In this article, you’ll learn how to set up a basic React app and connect it with the OpenAI API to make your first AI-powered request.

🛠️ What We’ll Build

A simple React app with an input field where users can enter a prompt and get a response from OpenAI’s GPT model.

🧰 Tools Needed

React (Create React App or Vite)
OpenAI API Key
Axios or fetch for making HTTP requests

🔧 Step 1: Set Up the React App

If you don’t already have a React app, start one:

npx create-react-app openai-react-app
cd openai-react-app
npm start

Install Axios for easier HTTP requests:

npm install axios

🔑 Step 2: Get Your OpenAI API Key

Go to OpenAI
Sign in and generate a new API key
Copy and store it safely — you’ll need it soon

Create a .env file in your project root:

REACT_APP_OPENAI_API_KEY=your_openai_key_here

⚠️ Never commit your API key to GitHub.

🧠 Step 3: Create a GPT Request Function

In a new file api/openai.js:

import axios from 'axios';

const apiKey = process.env.REACT_APP_OPENAI_API_KEY;

export const getGPTResponse = async (prompt) => {
  try {
    const response = await axios.post(
      'https://api.openai.com/v1/chat/completions',
      {
        model: 'gpt-3.5-turbo',
        messages: [{ role: 'user', content: prompt }],
      },
      {
        headers: {
          'Authorization': `Bearer ${apiKey}`,
          'Content-Type': 'application/json',
        },
      }
    );

    return response.data.choices[0].message.content;
  } catch (error) {
    console.error('Error from OpenAI:', error);
    return 'Something went wrong...';
  }

💬 Step 4: Build the UI Component

In App.js:

import React, { useState } from 'react';
import { getGPTResponse } from './api/openai';

function App() {
  const [prompt, setPrompt] = useState('');
  const [response, setResponse] = useState('');

  const handleSubmit = async () => {
    const reply = await getGPTResponse(prompt);
    setResponse(reply);
  };

  return (
    <div style={{ padding: 20 }}>
      <h2>Ask GPT Anything</h2>
      <textarea
        value={prompt}
        onChange={(e) => setPrompt(e.target.value)}
        rows={4}
        cols={50}
        placeholder="Type your prompt here..."
      />
      <br />
      <button onClick={handleSubmit}>Submit</button>
      <div style={{ marginTop: 20 }}>
        <strong>Response:</strong>
        <p>{response}</p>
      </div>
    </div>
  );
}

export default App;

✅ Test It Out

Run your app, type a prompt like “What is React?”, and see GPT respond in real-time.

💡 Tips

You can customise model parameters like temperature, max_tokens, and frequency_penalty to fine-tune the kind of responses you get.
OpenAI’s GPT API is not free for ongoing use. You’ll need to set up a paid plan to continue using the service beyond any free trial credits.
As of now, OpenAI offers a pay-as-you-go pricing model. For example:
GPT-3.5-turbo: around $0.0015 per 1K input tokens and $0.002 per 1K output tokens.
GPT-4 and GPT-4-turbo cost more, and are typically used for more advanced use cases.
You can view full pricing details and monitor your usage in the OpenAI Pricing Dashboard.

⚠️ Be sure to set usage limits in your account settings to avoid unexpected charges.

Creating an AI-Powered Login Form in a React Native App (2025 Edition

Aneeqa Khan — Tue, 20 May 2025 22:18:03 +0000

Remember when login forms were just two input fields and a button? Those days are long gone. As we navigate 2025, users expect their apps to be smarter, more personalised, and more helpful. I’ve been experimenting with AI-enhanced login experiences lately, and I want to share what I’ve learned about building a login form that feels like it’s actually from this decade.

In this guide, I’ll walk you through creating a React Native login form that incorporates several AI features that users are starting to expect:

Smart email suggestions that make sense
Voice input for hands-free login (perfect for multitasking)
Intelligent password strength feedback that goes beyond the typical colour bar

Let’s build something to impress your users and make your app stand out.

What You’ll Need

Before we dive in, make sure you have:

React Native environment set up (either Expo or React Native CLI)
Node.js is installed and ready to go
An OpenAI API key (for the smart suggestion features)
For voice features: react-native-voice package

Starting with the Basics

First, let’s create a simple login form as our foundation. Nothing fancy yet — just the bare essentials:

// LoginForm.js
import React, { useState } from 'react';
import { View, TextInput, Button, Text, StyleSheet } from 'react-native';

export default function LoginForm() {
  const [email, setEmail] = useState('');
  const [password, setPassword] = useState('');

  return (
    <View style={styles.container}>
      <Text style={styles.label}>Email</Text>
      <TextInput
        value={email}
        onChangeText={setEmail}
        placeholder="Enter your email"
        keyboardType="email-address"
        autoCapitalize="none"
        style={styles.input}
      />

      <Text style={styles.label}>Password</Text>
      <TextInput
        value={password}
        onChangeText={setPassword}
        placeholder="Enter your password"
        secureTextEntry
        style={styles.input}
      />

      <Button 
        title="Login" 
        onPress={() => console.log('Login attempt with:', email)}
      />
    </View>
  );
}

const styles = StyleSheet.create({
  container: {
    padding: 20,
  },
  label: {
    marginTop: 12,
    fontWeight: '500',
  },
  input: {
    borderBottomWidth: 1,
    borderColor: '#ddd',
    padding: 10,
    marginBottom: 15,
  }
});

I’ve seen way too many tutorials stop here, but this is just our starting point. Nothing special yet.

Adding AI-Powered Email Suggestions

The first AI feature we’ll add is smart email suggestions. This feature is particularly useful during sign-up flows or when a user logs in on a new device. Instead of basic autocomplete, we’ll use GPT to generate contextually relevant email suggestions.

const fetchEmailSuggestion = async (nameHint) => {
  try {
    const response = await fetch("https://api.openai.com/v1/chat/completions", {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${YOUR_OPENAI_API_KEY}`,
        "Content-Type": "application/json"
      },
      body: JSON.stringify({
        model: "gpt-4",
        messages: [
          { 
            role: "system", 
            content: "You are a helpful assistant that suggests professional email addresses based on names. Respond with just the email, no explanations."
          },
          { 
            role: "user", 
            content: `Suggest a professional email for someone named ${nameHint}` 
          }
        ],
        max_tokens: 60
      })
    });

    const data = await response.json();
    return data.choices[0].message.content;
  } catch (error) {
    console.error("Error fetching email suggestion:", error);
    return null;
  }
};

Now, let’s add a button that will trigger this suggestion feature. I like to place it near the email input:

<View style={styles.emailContainer}>
  <TextInput
    value={email}
    onChangeText={setEmail}
    placeholder="Enter your email"
    keyboardType="email-address"
    autoCapitalize="none"
    style={styles.input}
  />
  <Button 
    title="Suggest" 
    onPress={async () => {
      // In a real app, you might get the name from previous signup steps
      const name = "Alex Rivera"; // Example
      const suggestion = await fetchEmailSuggestion(name);
      if (suggestion) {
        setEmail(suggestion.trim());
      }
    }} 
  />
</View>

What I love about this approach is its flexibility. During testing, I found that prompting GPT to generate contextually relevant emails (like company-specific formats) works surprisingly well when you customise the system message.

Voice Input: Because Typing is So 2023

Next, let’s add voice input functionality. This is particularly useful for accessibility and those moments when users have their hands full. First, install the voice package:

npm install --save @react-native-voice/voice

Then, integrate it into your component:

import React, { useState, useEffect } from 'react';
import Voice from '@react-native-voice/voice';

export default function LoginForm() {
  // Existing state...
  const [isListening, setIsListening] = useState(false);
  const [voiceInputField, setVoiceInputField] = useState(null); // 'email' or 'password'

  useEffect(() => {
    // Set up voice recognition listeners
    Voice.onSpeechStart = () => setIsListening(true);
    Voice.onSpeechEnd = () => setIsListening(false);
    Voice.onSpeechResults = (e) => {
      if (e.value && e.value.length > 0) {
        if (voiceInputField === 'email') {
          setEmail(e.value[0].toLowerCase().replace(/\s+/g, ''));
        }
      }
    };

    // Cleanup
    return () => {
      Voice.destroy().then(Voice.removeAllListeners);
    };
  }, [voiceInputField]);

  const startListening = (field) => {
    setVoiceInputField(field);
    Voice.start('en-US');
  };

  const stopListening = () => {
    Voice.stop();
    setIsListening(false);
  };

  // Now add a microphone button next to your input fields

Now, let’s add the UI elements for voice input:

<View style={styles.inputGroup}>
  <TextInput
    value={email}
    onChangeText={setEmail}
    placeholder="Enter your email"
    keyboardType="email-address"
    autoCapitalize="none"
    style={[styles.input, styles.flexGrow]}
  />
  <TouchableOpacity 
    onPress={() => startListening('email')}
    style={styles.micButton}
  >
    <Text style={styles.micIcon}>{isListening && voiceInputField === 'email' ? '🔴' : '🎤'}</Text>
  </TouchableOpacity>
</View>

When I implemented this in a recent project, users were genuinely surprised by how natural it felt. One important lesson: make sure to provide clear visual feedback during recording (the red dot in this example).

Intelligent Password Strength Feedback

Last but not least, let’s implement a password strength checker that provides helpful feedback. While you could use a simple regex-based approach, combining pattern matching with AI can give more nuanced suggestions:

const checkPasswordStrength = (password) => {
  // Basic checks first
  if (!password) return { strength: 'empty', message: 'Enter a password' };
  if (password.length < 8) return { strength: 'weak', message: 'Too short! Use at least 8 characters' };

  // Check for common patterns
  if (/^123/.test(password) || /password/i.test(password)) {
    return { strength: 'weak', message: 'Avoid common patterns like "123" or "password"' };
  }

  // Check for variety
  const hasUppercase = /[A-Z]/.test(password);
  const hasLowercase = /[a-z]/.test(password);
  const hasNumbers = /[0-9]/.test(password);
  const hasSymbols = /[^A-Za-z0-9]/.test(password);

  const varietyScore = [hasUppercase, hasLowercase, hasNumbers, hasSymbols].filter(Boolean).length;

  if (varietyScore <= 2) {
    return { 
      strength: 'medium', 
      message: 'Mix uppercase, lowercase, numbers, and symbols for a stronger password' 
    };
  }

  if (password.length >= 12 && varietyScore >= 3) {
    return { strength: 'strong', message: 'Great password! 💪' };
  }

  return { strength: 'medium', message: 'Decent, but could be stronger' };
};

Now, let’s integrate this into our password field:

const [passwordFeedback, setPasswordFeedback] = useState({ strength: 'empty', message: 'Enter a password' });

// Update in the password input
<TextInput
  value={password}
  onChangeText={(text) => {
    setPassword(text);
    setPasswordFeedback(checkPasswordStrength(text));
  }}
  placeholder="Enter your password"
  secureTextEntry
  style={styles.input}
/>

// Display feedback below the input
<Text style={[
  styles.feedbackText, 
  passwordFeedback.strength === 'weak' ? styles.weakText : 
  passwordFeedback.strength === 'medium' ? styles.mediumText :
  passwordFeedback.strength === 'strong' ? styles.strongText :
  styles.neutralText
]}>
  {passwordFeedback.message}
</Text>

For a truly AI-powered approach, you could even send anonymised password patterns (never the actual password!) to an API that generates personalised feedback. I’ve experimented with this using a custom endpoint that analyses password structure without seeing the actual password.

Putting It All Together

When you combine these features, you end up with a login form that feels genuinely helpful rather than just a barrier to entry. Here’s a snippet of how the final component might look:

export default function LoginForm() {
  // All the state and functions from above...

  return (
    <View style={styles.container}>
      <Text style={styles.title}>Welcome Back</Text>

      <Text style={styles.label}>Email</Text>
      <View style={styles.inputGroup}>
        <TextInput
          value={email}
          onChangeText={setEmail}
          placeholder="Enter your email"
          keyboardType="email-address"
          autoCapitalize="none"
          style={[styles.input, styles.flexGrow]}
        />
        <TouchableOpacity onPress={() => startListening('email')} style={styles.micButton}>
          <Text style={styles.micIcon}>{isListening && voiceInputField === 'email' ? '🔴' : '🎤'}</Text>
        </TouchableOpacity>
      </View>

      <View style={styles.suggestContainer}>
        <Button 
          title="Suggest Email" 
          onPress={async () => {
            const name = "Alex Rivera"; // Example
            const suggestion = await fetchEmailSuggestion(name);
            if (suggestion) setEmail(suggestion.trim());
          }} 
        />
      </View>

      <Text style={styles.label}>Password</Text>
      <TextInput
        value={password}
        onChangeText={(text) => {
          setPassword(text);
          setPasswordFeedback(checkPasswordStrength(text));
        }}
        placeholder="Enter your password"
        secureTextEntry
        style={styles.input}
      />
      <Text style={[
        styles.feedbackText, 
        passwordFeedback.strength === 'weak' ? styles.weakText : 
        passwordFeedback.strength === 'medium' ? styles.mediumText :
        passwordFeedback.strength === 'strong' ? styles.strongText :
        styles.neutralText
      ]}>
        {passwordFeedback.message}
      </Text>

      <TouchableOpacity style={styles.loginButton} onPress={handleLogin}>
        <Text style={styles.loginButtonText}>Login</Text>
      </TouchableOpacity>
    </View>
  );
}

Final Thoughts

What I’ve found most interesting about building AI-powered login forms is how quickly user expectations are shifting. Just two years ago, these features would have seemed excessive. Now, they’re starting to feel standard.

A few lessons I’ve learned along the way:

Always provide traditional input methods alongside AI features
Be transparent about what’s happening with user data
Make sure the AI features actually save time rather than creating friction

There’s so much more we could add here — facial recognition for biometric login, anomaly detection to identify suspicious login attempts, or even sentiment analysis to adjust the UI based on user frustration levels.

The future of authentication is not just about verifying identity—it’s about creating a personalised entry point to your application.

A Developer’s Guide to Browser Storage: Local Storage, Session Storage, and Cookies

Aneeqa Khan — Mon, 12 May 2025 08:00:00 +0000

When developing web applications, storing data in the browser is essential for maintaining user sessions, saving preferences, and improving performance. Three common methods for client-side storage are Local Storage, Session Storage, and Cookies. While they serve similar purposes, they differ in data persistence, size limits, and accessibility.

This article will explore the differences, advantages, and best use cases for each storage method.

1. Local Storage 🗄️

✅ What is Local Storage?

Local Storage is a browser-based storage mechanism that allows web applications to store key-value data persistently on the user’s device. The stored data does not expire and remains available even after users close and reopen the browser.

🔹 Key Features of Local Storage:

✔️ Persistent Data — Data is stored permanently until manually deleted
✔️ Large Storage Limit — Can store up to 5MB — 10MB of data per domain
✔️ Key-Value Storage — Stores data as simple key-value pairs
✔️ Accessible via JavaScript — Data can be retrieved and modified using JavaScript
✔️ Not Sent to the Server — Data remains only in the browser

📌 Example Usage of Local Storage

// Storing data in Local Storage
localStorage.setItem("username", "JohnDoe");

// Retrieving data from Local Storage
let user = localStorage.getItem("username");
console.log(user); // Output: JohnDoe

// Removing data from Local Storage
localStorage.removeItem("username");

🔥 Best Use Cases for Local Storage:

Storing user preferences (e.g., dark mode, language settings)
Caching API responses for offline use
Saving progress in a web game or form

2. Session Storage ⏳

✅ What is Session Storage?

Session Storage is similar to Local Storage but with one key difference: Data is stored temporarily and is deleted when the user closes the browser tab or window.

🔹 Key Features of Session Storage:

✔️ Temporary Storage — Data is only available for the current session
✔️ Storage Limit — Similar to Local Storage (5MB — 10MB per domain)
✔️ Not Sent to the Server — Only accessible via the browser
✔️ Key-Value Storage — Works like Local Storage but expires on session end

📌 Example Usage of Session Storage

// Storing data in Session Storage
sessionStorage.setItem("sessionID", "ABC123");

// Retrieving data from Session Storage
let session = sessionStorage.getItem("sessionID");
console.log(session); // Output: ABC123

// Removing data from Session Storage
sessionStorage.removeItem("sessionID");

🔥 Best Use Cases for Session Storage:

Storing temporary form data (e.g., during multi-step form submissions)
Keeping session-specific user preferences
Storing shopping cart items for a session

3. Cookies 🍪

✅ What are Cookies?

Cookies are small pieces of data stored in the browser and sent to the server with each HTTP request. They are primarily used for user authentication, tracking, and session management.

🔹 Key Features of Cookies:

✔️ Limited Storage — Maximum 4KB per cookie
✔️ Data Sent to the Server — Included in every HTTP request
✔️ Can Have Expiry Dates — Persistent or session-based cookies
✔️ Supports Secure Storage — Can be made HTTP-only and Secure

📌 Example Usage of Cookies

// Creating a cookie
document.cookie = "username=JohnDoe; expires=Fri, 31 Dec 2025 23:59:59 GMT; path=/";

// Reading cookies
console.log(document.cookie); // Output: username=JohnDoe

// Deleting a cookie (by setting an expired date)
document.cookie = "username=JohnDoe; expires=Thu, 01 Jan 1970 00:00:00 UTC; path=/";

🔥 Best Use Cases for Cookies:

User authentication (e.g., storing login tokens)
Tracking user behaviour for analytics
Storing shopping cart data across browser sessions

Comparison Table: Local Storage vs Session Storage vs Cookies

Which One Should You Use? 🤔

✅ Use Local Storage if you need to store data permanently and don’t want to send it to the server (e.g., user preferences, cached API data).

✅ Use Session Storage if you need temporary data storage that should disappear after the session ends (e.g., form progress, shopping carts).

✅ Use Cookies if you need to send data to the server with each request, such as for authentication, user tracking, or session management.

Final Thoughts

Understanding the differences between Local Storage, Session Storage, and Cookies is essential for choosing the right client-side storage method for your web application.

Each method has its strengths and use cases, and using the right one can significantly improve performance, security, and user experience.

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

Top 5 AI-Based Code Editors for Coding in 2025

Aneeqa Khan — Mon, 05 May 2025 08:00:00 +0000

AI-powered code editors are revolutionizing how developers write, debug, and optimize code. With the latest advancements in AI-driven coding assistance, developers can now write code faster, detect errors more efficiently, and automate repetitive tasks.

Here are the best AI-based code editors in 2025 and their pricing details.

1. Visual Studio Code (VS Code) + GitHub Copilot 🚀

📌 Best for

AI-powered autocomplete, real-time coding assistance

📌 Pricing (2025)

✅ VS Code: Free
💰 GitHub Copilot: Free (Basics), $4/month (Team), $21/month (businesses)

VS Code remains one of the most widely used open-source code editors. When integrated with GitHub Copilot, it provides real-time AI-powered code suggestions, making development faster and smarter.

🔹 Key AI Features:

✔️ AI-powered code autocomplete and inline suggestions
✔️ Context-aware code generation based on natural language prompts
✔️ AI-assisted debugging for faster error resolution
✔️ Supports multiple languages (Python, JavaScript, Java, C++, etc.)

🔹 Why Use It?

If you need a powerful AI coding assistant within a free and customizable editor, VS Code with GitHub Copilot is an excellent choice.

2. Cursor — AI-Native Code Editor 💡

📌 Best for

AI-first coding experience, real-time AI chat assistance

📌 Pricing (2025)

✅ Free for basic use
💰 Pro Plan: $20/month

Cursor is an AI-native code editor, meaning it was built from the ground up with AI at its core. It offers intelligent code suggestions, debugging, and real-time AI chat for coding help.

🔹 Key AI Features:

✔️ AI-powered code completion & inline explanations
✔️ Smart code refactoring for cleaner, optimized code
✔️ Inline AI chat assistant for real-time coding guidance
✔️ Supports multiple languages and frameworks

🔹 Why Use It?

If you want an AI-first code editor that actively assists in writing, refactoring, and debugging, Cursor is one of the best options in 2025.

3. Tabnine — AI-Powered Code Completion ✨

📌 Best for

AI-enhanced code predictions and automation

📌 Pricing (2025)

💰 Pro Plan: $9/month
💰 Enterprise Plan: $39/month for Enterprise

Tabnine is an AI-powered code completion tool that integrates with VS Code, JetBrains, Sublime Text, and other IDEs. It provides context-aware code suggestions to speed up development.

🔹 Key AI Features:

✔️ Predictive AI-powered code completions
✔️ Supports multiple IDEs and programming languages
✔️ Private AI models for secure code suggestions
✔️ Helps maintain coding best practices with AI insights

🔹 Why Use It?

If you need AI-assisted code completions across multiple IDEs, Tabnine is an excellent AI coding assistant.

4. Amazon CodeWhisperer 🌍

📌 Best for

AI-powered coding for AWS and cloud development

📌 Pricing (2025)

✅ Individual Use: Free
💰 Professional Plan: Custom per user for Pro

Amazon CodeWhisperer is AWS’s AI-powered code suggestion tool. It’s designed for enterprise and cloud-based development, offering AI-driven coding assistance while maintaining security and compliance.

🔹 Key AI Features:

✔️ AI-generated code suggestions optimized for AWS development
✔️ Security scanning for vulnerabilities in cloud applications
✔️ Multi-language support (Python, JavaScript, Java, Go, etc.)
✔️ Seamless integration with AWS cloud services

🔹 Why Use It?

If you work with AWS or cloud-based applications, Amazon CodeWhisperer provides AI-powered assistance tailored for cloud environments.

5. JetBrains AI Assistant 🧠

📌 Best for

AI-enhanced development in JetBrains IDEs (IntelliJ, PyCharm, WebStorm)

📌 Pricing (2025)

💰 Included in JetBrains Subscription Plans (starting at $8.33/month)

JetBrains has integrated AI-powered features into its popular IDEs, such as IntelliJ IDEA, PyCharm, and WebStorm. The JetBrains AI Assistant enhances code completion, debugging, and refactoring.

🔹 Key AI Features:

✔️ AI-powered smart code suggestions and refactoring
✔️ AI-assisted debugging and performance analysis
✔️ AI-driven documentation search and code explanations
✔️ Supports Java, Python, JavaScript, Kotlin, and more

🔹 Why Use It?

If you’re using JetBrains IDEs, the AI Assistant will enhance your workflow with AI-driven automation and intelligent suggestions.

Comparison Table: AI-Powered Code Editors & Pricing (2025)

Final Thoughts

AI-powered code editors in 2025 will make coding smarter, faster, and more efficient. These tools will reduce manual coding efforts, improve accuracy, and enhance developer productivity.

Which AI-Based Code Editor Should You Choose?

✅ For a free AI-powered assistant: → Try VS Code + GitHub Copilot (basic features) or Amazon CodeWhisperer
✅ For an AI-native coding experience: → Cursor is the best choice
✅ For AI-enhanced code completion: → Tabnine is highly recommended
✅ For cloud and enterprise development: → Amazon CodeWhisperer is ideal
✅ For JetBrains IDE users: → JetBrains AI Assistant is a must-have

With AI-powered tools becoming the future of coding, developers who integrate AI-based code editors into their workflow will code more efficiently and productively.

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

Top 5 React Native UI Libraries for Stunning Mobile Apps

Aneeqa Khan — Mon, 28 Apr 2025 08:00:00 +0000

React Native is one of the most popular frameworks for building cross-platform mobile applications. A crucial part of any mobile app is its user interface (UI). Instead of designing everything from scratch, developers often rely on UI libraries to speed up development and maintain consistency.

Here are the top 5 React Native UI libraries that can help you create beautiful and functional mobile apps.

1. React Native Paper

🚀 Best for: Material Design-based apps

React Native Paper is one of the most widely used UI libraries. It offers a complete set of Material Design components, perfect for creating sleek, modern apps that look consistent across Android and iOS.

🔹 Key Features:

✔️ Fully customizable Material Design components
✔️ Dark mode support
✔️ Accessibility and RTL support
✔️ Seamless integration with React Navigation

2. GlueStack (Formerly NativeBase)

🎨 Best for: Customizable and cross-platform UI

GlueStack provides a rich set of cross-platform UI components that work on both Android and iOS. It follows a utility-first approach similar to Tailwind CSS, making styling easy and flexible.

🔹 Key Features:
✔️ Pre-designed and customizable UI components
✔️ Dark mode and theme support
✔️ Based on React Native and React Native Web
✔️ Compatible with Expo and Next.js

3. React Native Elements

⚡ Best for: Ready-to-use UI components

React Native Elements is a UI toolkit designed to provide consistent, customizable, and easy-to-use components. It’s a great choice for beginners and experienced developers alike.

🔹 Key Features:
✔️ Cross-platform and highly customizable components
✔️ Easy to integrate with existing projects
✔️ Supports theming for a consistent look and feel
✔️ Open-source and actively maintained

4. UI Kitten

🐱 Best for: Elegant UI with predefined themes

UI Kitten is a powerful React Native UI framework that offers a wide range of styled components based on the Eva Design System. It’s ideal for those who want predefined themes while still maintaining flexibility.

🔹 Key Features:
✔️ Predefined and customizable themes
✔️ Supports dark mode
✔️ TypeScript support
✔️ Works well with Redux and MobX

5. Tamagui

💎 Best for: Optimized performance with universal design

Tamagui is an emerging UI library that focuses on performance and code reusability across React Native and the web. If you’re looking for highly optimized styling with a responsive UI, this is an excellent choice.

🔹 Key Features:
✔️ Shared code between React Native and web
✔️ Highly optimized for speed and performance
✔️ Tree-shakable components for smaller bundle size
✔️ Built-in animation support

Final Thoughts

Choosing the right React Native UI library depends on your project needs:
✅ Need Material Design? → React Native Paper
✅ Want fully customizable components? → GlueStack
✅ Looking for easy-to-use UI? → React Native Elements
✅ Prefer elegant themes? → UI Kitten
✅ Prioritizing performance & web compatibility? → Tamagui

These React Native UI libraries can help you easily build beautiful, scalable, and high-performance mobile apps. Try them out and find the one that works best for your project! 🚀

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

Top 10 Animation Libraries for React Native Apps

Aneeqa Khan — Mon, 21 Apr 2025 08:00:00 +0000

Animations make mobile apps more engaging, smooth, and visually appealing. In React Native, several powerful libraries help create high-performance animations. Whether you need simple transitions or complex gesture-based interactions, there’s a library for every use case.

What to Keep in Mind Before Using Animations

Before adding animations to your React Native app, consider these key factors:

✅ Performance — Heavy animations can slow down your app. Use native-driven libraries like Reanimated to optimize performance.
✅ User Experience — Animations should enhance the user experience, not slow it down. Keep them subtle and purposeful.
✅ Battery & Resource Usage — Overuse of animations can drain the device’s battery. Optimize by using hardware-accelerated animations.
✅ Cross-Platform Compatibility — Some animations work differently on iOS and Android. Always test on both platforms.
✅ Load Time — Avoid animations that significantly delay app loading time. Optimize asset sizes and use lazy loading when possible.

1. React Native Reanimated

A high-performance library that runs animations on the native thread for smooth performance.
✅ Best for: Gesture-based interactions, screen transitions, and animations requiring high fluidity.
📌 Used by: Coinbase for their mobile crypto trading animations.

2. React Native Gesture Handler

Improves handling of touch gestures for complex interactions like swipes and drags.
✅ Best for: Swipe-to-dismiss, custom drawer animations, and interactive UI elements.
📌 Used by: Instagram for swipe gestures in Stories and posts.

3. Lottie for React Native

Plays lightweight, high-quality animations exported from Adobe After Effects in JSON format.
✅ Best for: Beautiful UI animations with minimal performance cost.
📌 Used by: Airbnb for in-app animations like loading screens and onboarding.

4. React Native Animated API (Built-in)

A built-in React Native API for simple animations like fading, scaling, and movement.
✅ Best for: Basic transitions without needing external libraries.
📌 Used by: Facebook for subtle UI effects in the React Native-powered parts of their app.

5. React Spring

A physics-based animation library that creates fluid, natural motion.
✅ Best for: Smooth transitions, bouncing effects, and motion-based UI elements.
📌 Used by: Microsoft Teams for smooth modal and notification animations.

6. Framer Motion (for React Native Web)

A popular library designed for web and mobile, allowing seamless animations across platforms.
✅ Best for: Web and mobile consistency in animations.
📌 Used by: Spotify for engaging animations in their web-based UIs.

7. React Native Skia

A powerful 2D graphics rendering engine for complex UI effects.
✅ Best for: High-performance graphics, charts, and custom UI elements.
📌 Used by: Canva for rendering design elements smoothly in mobile apps.

8. Moti

Built on top of Reanimated, Moti simplifies animations with a declarative API.
✅ Best for: Quick, smooth animations with minimal setup.
📌 Used by: Shopify for animated UI components in their mobile storefronts.

9. Rive (Formerly Flare) for React Native

A real-time interactive animation tool for vector-based motion graphics.
✅ Best for: Dynamic, interactive animations and gamified UI elements.
📌 Used by: Duolingo for character animations and progress tracking UI.

10. React Native Animatable

A beginner-friendly library with a collection of pre-built animations.
✅ Best for: Quick animations like bounce, shake, and zoom.
📌 Used by: TikTok for simple animated transitions in its UI.

Which Library Should You Choose?

For simple animations: React Native Animatable or React Native Animated API.
For gesture-based animations: React Native Reanimated or Gesture Handler.
For high-quality vector animations: Lottie or Rive.
For advanced effects and UI graphics: Skia or Framer Motion.

Each library has its strengths, so the best choice depends on your app’s needs.

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

The Reality of Code Quality: Is Perfection More Important Than Progress?

Aneeqa Khan — Mon, 14 Apr 2025 08:00:00 +0000

No software is ever truly finished. Even the most polished codebases require continuous maintenance, updates, and optimizations. Yet, many teams judge developers too harshly for minor code improvements, overlooking the bigger picture of software development.

According to Microsoft Research, 70–90% of software development costs go into maintenance and improvements, not the initial coding. This proves a fundamental truth: software evolves, and continuous iteration is the norm — not the exception.

So why do some teams focus rigidly on small code enhancements instead of assessing overall contributions?

The Bigger Picture of Code Quality

Writing perfect code in a single attempt is a myth. Even senior engineers at Google, Microsoft, and Facebook continuously refactor, optimize, and improve their work.

✅ A SmartBear study (2023) found that code review improves software quality by 20–30%.
✅ A GitHub survey revealed that 94% of developers refine their coding standards over time based on review comments.
✅ Even senior engineers have an average of 7+ pull request revisions before final approval.

If the best developers in the industry need code reviews and iterations, why should individual developers be judged harshly for minor improvements?

Is Code Review a Bad Practice?

Absolutely not. Code reviews enhance software quality, foster learning, and prevent technical debt. However, receiving improvement comments does not mean a developer won’t improve over time.

A review aims to help developers grow, not punish them for not writing “perfect” code from the start. If a company expects flawless code without iterations, they’re misunderstanding how software development works.

Real-World Perspective: Software is Never “Perfect”

Think about major frameworks and tools like:

React — Constantly updated with new optimizations.
Linux Kernel — Thousands of patches applied after initial releases.
Node.js — Features and performance improvements added years after launch.

If even industry-defining software products require ongoing refinement, why should we expect individual developers to produce perfection from day one?

The Tech Industry Needs to Rethink Code Quality Standards

Code quality is important, but absolute perfection shouldn’t outweigh practical results. A developer who delivers a functional, well-structured solution should be recognized for their contributions — not discredited for small areas of improvement.

Have you ever faced unfair expectations regarding code quality? Let’s discuss in the comments! 🚀

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

Best Practices for Git and Version Control

Aneeqa Khan — Mon, 07 Apr 2025 08:00:00 +0000

Version control is a fundamental part of software development, helping teams collaborate efficiently, track changes, and maintain a clean, stable codebase.

This article will cover the best practices for version control in your next project.

1. Initialize and Configure Git Properly

If your project isn’t already under version control, initialize Git in your project directory:

git init

Then, create a .gitignore file to prevent unnecessary files from being tracked. Here’s an example .gitignore for React Native:

# Node modules  
node_modules/  

# Build files  
android/app/build/  
ios/Pods/  

# Logs & cache  
*.log  
.npm/  
.expo/  

# Environment files  
.env

This keeps the repository clean and prevents unnecessary clutter in the version history.

2. Follow a Branching Strategy

Using a structured branching model prevents conflicts and keeps development organized. A feature branch workflow is recommended:

main (or master) branch – Stable production-ready code.
develop branch – The latest changes are being tested before release.
Feature branches — Used for new features, named accordingly (e.g., feature/login-screen).
Bugfix/hotfix branches — Used to fix urgent issues (e.g., bugfix/crash-fix).

To create and switch to a feature branch:

git checkout -b feature/new-feature

After making changes, push the branch:

git push origin feature/new-feature

Once the feature is complete, merge it into develop:

git checkout develop  
git merge feature/new-feature  
git push origin develop

3. Write Meaningful Commit Messages

Avoid generic messages like Updated code. Instead, write clear and descriptive commit messages:

git commit -m "Added user authentication flow with Firebase"

A good commit message should:

✔️ Describe what changed
✔️ Explain why it was changed (if necessary)
✔️ Use the imperative tense (e.g., “Fix bug in login screen”)

4. Commit Small, Logical Changes

Committing frequently and keeping changes small makes it easier to track progress and revert issues. Instead of one large commit, break it down:

✅ Good:

git commit -m "Implemented UI for sign-up screen"
git commit -m "Connected sign-up screen to API"
git commit -m "Fixed validation errors on sign-up form"

❌ Bad:

git commit -m "Updated app"

5. Pull Before You Push

Before pushing your changes, always pull the latest changes from the remote repository to avoid merge conflicts:

git pull origin develop

If conflicts occur, Git will highlight them, and you must resolve them manually before committing to the final version.

6. Use Git Tags for Releases

Tagging helps track stable releases and simplifies rollbacks. You can tag a release like this:

git tag -a v1.0.0 -m "First production release"
git push origin v1.0.0

Later, you can check out a specific version if needed:

git checkout tags/v1.0.0

7. Use Pull Requests and Code Reviews

Instead of merging directly into main or develop, use pull requests (PRs) on platforms like GitHub or GitLab. This allows for:

✔️ Code review before merging
✔️ Automated testing before deployment
✔️ A history of who changed what and why

8. Keep Your Repository Clean

Large repositories slow down performance. Regularly remove unnecessary dependencies and logs. If sensitive data like API keys get committed accidentally, remove them securely:

git filter-branch --force --index-filter \
'git rm --cached --ignore-unmatch path/to/file' \
--prune-empty --tag-name-filter cat -- --all

Then, force push to overwrite the remote repository:

git push origin --force --all

9. Automate with Git Hooks and CI/CD

Automating checks before committing helps maintain quality. Use Git hooks to run linting, tests, or format code before committing:

Create a pre-commit hook in .git/hooks/pre-commit:

#!/bin/sh
npm run lint
npm test

Also, integrate CI/CD pipelines like GitHub Actions or GitLab CI/CD to run tests automatically on every push:

name: React Native CI
on: push
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
      - name: Install dependencies
        run: npm install
      - name: Run tests
        run: npm test

10. Backup and Maintain a Remote Repository

Always push your changes to a remote repository like GitHub, GitLab, or Bitbucket. If you are working solo, having a remote backup is still essential:

git push origin develop

Use GitHub Issues or Project Boards to track tasks and organize workflow efficiently.

Conclusion

Following these best practices ensures a smooth version control process for your project. By using structured branching, meaningful commits, automation, and regular code reviews, you can maintain a scalable, conflict-free codebase.

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

How to Identify and Fix Performance Bottlenecks in Your Mobile App

Aneeqa Khan — Mon, 31 Mar 2025 08:00:00 +0000

In today’s fast-paced digital world, users expect mobile apps to be fast, smooth, and responsive. A slow or lagging app leads to poor user experience, low engagement, and ultimately, uninstalls.

Step 1: Identify Performance Bottlenecks

1. Measure App Performance with Monitoring Tools

Use tools like Firebase Performance Monitoring, Flipper (for React Native), Xcode Instruments (iOS), and Android Profiler to track app performance in real time. These tools help you analyze CPU usage, memory consumption, network latency, and rendering speed.

2. Analyze User Feedback and Crash Reports

Monitor App Store & Google Play reviews, user complaints, and support tickets to pinpoint common performance issues. Use Crashlytics, Sentry, or Bugsnag to track and resolve crashes.

3. Test on Real Devices & Different Network Conditions

Emulators don’t always reflect real-world performance. Test on low-end and mid-range devices, simulate slow networks and check how your app handles background processes.

4. Check for Memory Leaks

Memory leaks can cause apps to slow down or crash. Use Android Studio’s Memory Profiler or Xcode Instruments (Leaks Tool) to detect excessive memory usage and fix leaks.

Step 2: Fixing the Performance Issues

1. Optimize Rendering and UI Performance

Minimize unnecessary re-renders in React Native using React.memo(), useMemo(), and useCallback().
Reduce heavy animations and prefer native drivers for smoother transitions.
Implement lazy loading for images and lists using libraries like React Native FastImage.

2. Reduce App Size and Load Times

Compress images and assets using WebP or AVIF formats.
Enable code-splitting and tree shaking to remove unused code.
Use Hermes (for React Native) or ProGuard (for Android) to optimize JavaScript execution.

3. Optimize Network Requests

Reduce API calls by implementing caching (AsyncStorage, SQLite, or Realm).
Batch requests and use efficient data fetching strategies like GraphQL with Apollo.
Compress data with Gzip or Brotli to minimize network latency.

4. Improve App Startup Time

Load essential components first and defer non-critical ones.
Minimize JavaScript bundle size.
Optimize splash screens to keep users engaged while the app loads.

5. Handle Background Processes Efficiently

Use background tasks wisely to avoid overloading resources.
Limit third-party libraries and remove unused dependencies.
Optimize event listeners and avoid excessive state updates.

Final Thoughts

Fixing performance bottlenecks isn’t just about making an app faster — it’s about ensuring a seamless, enjoyable experience for users. By continuously monitoring performance, optimizing resource usage, and implementing best practices, you can keep your mobile app running smoothly and retain more users.

If you found this guide helpful, feel free to share it! Happy coding! 😊

Thank you for reading! Feel free to connect with me on LinkedIn or GitHub.

DEV Community: Aneeqa Khan

useReducer or Redux Reducer? How to Tell Which You Need

🎯 The Core Idea: What’s a Reducer?

🪝 useReducer in React

🏪 Redux Reducers

🔍 How They’re the Same

🔀 How They’re Different

💡 Which Should You Use?

🏁 Final Takeaway

Most React Developers Get This Wrong About useEffect

🚫 Don’t Use Effect to Transform Data

🚫 Don’t Use Effects to Handle User Events

✅ When Do You Need an Effect?

✅ Fetching Data from an API

✅ Subscribing to an Event

✅ Setting a Timer

🎯 Summary

🔁 Quick Reference

How Behaviour-Driven Development Changes the Way You Code

📌 Core Concept

🧩 Key Components of BDD

🛠️ BDD Tools

✅ Benefits of BDD

⚠️ Common Pitfalls

🧠 Final Thoughts

How to Integrate OpenAI in a React App (Step-by-Step)

🛠️ What We’ll Build

🧰 Tools Needed

🔧 Step 1: Set Up the React App

🔑 Step 2: Get Your OpenAI API Key

🧠 Step 3: Create a GPT Request Function

💬 Step 4: Build the UI Component

✅ Test It Out

💡 Tips

Creating an AI-Powered Login Form in a React Native App (2025 Edition

What You’ll Need

Starting with the Basics

Adding AI-Powered Email Suggestions

Voice Input: Because Typing is So 2023

Intelligent Password Strength Feedback

Putting It All Together

Final Thoughts

A Developer’s Guide to Browser Storage: Local Storage, Session Storage, and Cookies

1. Local Storage 🗄️

✅ What is Local Storage?

🔹 Key Features of Local Storage:

📌 Example Usage of Local Storage

🔥 Best Use Cases for Local Storage:

2. Session Storage ⏳

✅ What is Session Storage?

🔹 Key Features of Session Storage:

📌 Example Usage of Session Storage

🔥 Best Use Cases for Session Storage:

3. Cookies 🍪

✅ What are Cookies?

🔹 Key Features of Cookies:

📌 Example Usage of Cookies

🔥 Best Use Cases for Cookies:

Comparison Table: Local Storage vs Session Storage vs Cookies

Which One Should You Use? 🤔

Final Thoughts

Top 5 AI-Based Code Editors for Coding in 2025

1. Visual Studio Code (VS Code) + GitHub Copilot 🚀

📌 Best for

📌 Pricing (2025)

🔹 Key AI Features:

🔹 Why Use It?

2. Cursor — AI-Native Code Editor 💡

📌 Best for

📌 Pricing (2025)

🔹 Key AI Features:

🔹 Why Use It?

3. Tabnine — AI-Powered Code Completion ✨

📌 Best for

📌 Pricing (2025)

🔹 Key AI Features:

🔹 Why Use It?

4. Amazon CodeWhisperer 🌍

📌 Best for

📌 Pricing (2025)

🪝 `useReducer` in React