Find the code you need

حقن التبعيات ليس مجرد تقنية، بل هو نمط يُسهم في بناء أنظمة نظيفة، قابلة للتوسّع، وسهلة الصيانة. اعتماد هذا الأسلوب يرفع من جودة العمل، ويمنح المطور قدرة أكبر على التحكم في هيكلة التطبيق، خاصةً في الأنظمة الكبيرة أو المعتمدة على خدمات متعددة.

إذا كنت تعمل على تطبيق معقّد أو تستخدم إطاراً حديثاً، فإن تطبيق حقن التبعيات يعد خطوة أساسية لبناء بنية متينة ومرنة.

On your local machine, edit or create:

nano ~/.ssh/config

For full SEO benefits in translated URLs:

Use a framework like Next.js for SSR with dynamic routes

Globalization in web development is the process of designing and building applications that support multiple languages, regional settings, currencies, and cultural preferences — making your app ready for a global audience.

In 2025, React globalization goes beyond just i18n (internationalization). It includes:

Use the useTranslation hook:

import React from 'react';
import { useTranslation } from 'react-i18next';

const Home = () => {
  const { t, i18n } = useTranslation();

  const changeLanguage = (lng) => {
    i18n.changeLanguage(lng);
  };

  const today = new Date();
  const price = 199.99;

  return (
    <div className="p-4">
      <h1>{t('welcome')}</h1>

      <div className="mt-4">
        <strong>{t('language')}:</strong>
        <button onClick={() => changeLanguage('en')} className="ml-2">EN</button>
        <button onClick={() => changeLanguage('fr')} className="ml-2">FR</button>
      </div>

      <p>{t('date_example', { date: today })}</p>
      <p>{t('price_example', { price })}</p>
    </div>
  );
};

export default Home;

Micro-frontends allow different teams to work independently on isolated UI components, which are then stitched together at runtime. This enables:

• Faster deployment cycles
• Independent scaling of frontend parts
• Team autonomy across tech stacks (e.g., React, Vue, Angular)

   import create from 'zustand';

   const useStore = create((set) => ({
     count: 0,
     increase: () => set((state) => ({ count: state.count + 1 })),
     decrease: () => set((state) => ({ count: state.count - 1 })),
   }));

   import React from 'react';
   import useStore from './store';

   function Counter() {
     const { count, increase, decrease } = useStore();
     return (
       <div>
         <h1>{count}</h1>
         <button onClick={increase}>Increase</button>
         <button onClick={decrease}>Decrease</button>
       </div>
     );
   }

   export default Counter;

   const increment = useCallback(() => setCount(c => c + 1), []);

Implementing these practices ensures that only components dependent on specific context values re-render when those values change.([Medium][7])

MySQL 8+ includes a password validation plugin (validate_password) that enforces strong password rules by default. If you're working in a local development environment and want to disable this feature to allow simpler passwords (e.g., password, 123456), follow this safe step-by-step tutorial.

sudo mysql

Find the line:

datadir = /var/lib/mysql

Then reload your shell configuration:

source ~/.bashrc

You’ll see something like:

00:02.0 VGA compatible controller: Intel Corporation ...
	Kernel driver in use: i915
01:00.0 3D controller: NVIDIA Corporation GP107M [GeForce MX350]
	Kernel driver in use: nouveau

void legacyFunction(char* data);

void useLegacyAPI() {
    ScopedArray<char> buffer(new char[512]);
    legacyFunction(buffer.get());
}

Even without smart pointers, you can manage memory safely in C++ using the RAII pattern. This approach:

When your class uses raw pointers:

• Avoid shallow copies.
• Always implement deep copy logic.
• Follow the Rule of Three (or Rule of Five).
• Prefer std::string, std::vector, or smart pointers in modern C++.

// web.php
Route::post('/contact', [ContactController::class, 'submit'])->middleware('throttle:3,1');

// ContactController
public function submit(Request $request) {
    if ($request->has('fake_field')) return abort(403); // honeypot
    if (now()->diffInSeconds(session('form_start_time')) < 3) return abort(403); // timing
    // other checks...
}

And in Blade:

After 100 requests within an hour, you’ll get:

{
  "error": "Too many requests. Try later."
}

Open the Arduino IDE and enter the following code:

// Arduino LED Blink Example

// The setup function runs once when you press reset or power the board.
void setup() {
  // Initialize digital pin 13 as an output.
  pinMode(13, OUTPUT);
}

// The loop function runs repeatedly forever.
void loop() {
  digitalWrite(13, HIGH);  // Turn the LED on (HIGH is the voltage level)
  delay(1000);             // Wait for one second (1000 milliseconds)
  digitalWrite(13, LOW);   // Turn the LED off by making the voltage LOW
  delay(1000);             // Wait for one second
}

Create a new file called sketch.js in your project folder. We’ll use p5.js to access the webcam and display the video on a canvas:

let video;
let detector;
let detections = [];

function setup() {
  // Create the canvas to match the video dimensions
  createCanvas(640, 480);
  // Capture video from the webcam
  video = createCapture(VIDEO);
  video.size(640, 480);
  video.hide();

  // Load the pre-trained COCO-SSD model
  cocoSsd.load().then(model => {
    detector = model;
    console.log("Model Loaded!");
    // Begin detecting objects every frame
    detectObjects();
  });
}

function detectObjects() {
  detector.detect(video.elt).then(results => {
    detections = results;
    // Continue detection in a loop
    detectObjects();
  });
}

function draw() {
  // Draw the video
  image(video, 0, 0);

  // Draw detection boxes and labels if available
  if (detections) {
    for (let i = 0; i < detections.length; i++) {
      let object = detections[i];
      stroke(0, 255, 0);
      strokeWeight(2);
      noFill();
      rect(object.bbox[0], object.bbox[1], object.bbox[2], object.bbox[3]);
      noStroke();
      fill(0, 255, 0);
      textSize(16);
      text(object.class, object.bbox[0] + 4, object.bbox[1] + 16);
    }
  }
}

To install the Tauri CLI globally, run:

npm install -g @tauri-apps/cli

After generating LLVM IR, we optimize it using LLVM’s pass managers. The above optimizeModule function demonstrates adding a few standard optimization passes. In 2025, you might incorporate cutting-edge passes or even machine learning–based tuning for further enhancements.

To compile the IR to machine code, consider using LLVM’s JIT (via LLVM’s ORC JIT APIs) or emitting an object file that can be linked into a larger application.