Hey developers! I've been pushing code in web development for over a decade now, and let me tell you, there's an enormous difference between a developer who simply writes code and one who thinks architecturally about systems.

When I started my career, I focused on getting features to work. Now, I think about how those features will scale, how they'll interact with other systems, and how they'll need to evolve over time. This shift in perspective didn't happen overnight—it came from painful lessons learned through experience.

The Expert Mindset

Expert developers don't just solve the problem in front of them—they anticipate future problems. Here are some key differences in how experts think:

• Systems Thinking: Seeing how components interact rather than focusing on isolated pieces
• Tradeoff Awareness: Understanding that every technical decision has pros and cons
• Future Orientation: Designing for maintainability and extensibility
• Pattern Recognition: Spotting similarities to problems solved before

One of my favorite techniques is the "Five Whys" approach. When faced with a problem, ask "why" five times to get to the root cause. This prevents treating symptoms instead of causes.

Practical Steps to Level Up

Here's how you can start developing this expert mindset:

1. Read and analyze production code from large projects
2. Participate in code reviews with a focus on architectural implications
3. Build the same project multiple times with different architectures
4. Learn about distributed systems even if you don't work with them
5. Document your decisions and revisit them months later

Remember, expertise isn't about knowing everything—it's about developing the judgment to make good decisions with incomplete information. What techniques have helped you think more like an expert? Share in the comments!

Vibe coding is real, and it's transforming how developers work. This isn't just about writing code—it's about entering a state where the code seems to write itself, where hours pass like minutes, and where solutions emerge almost intuitively.

After interviewing dozens of top developers and analyzing their workflows, I've identified the key components of this state and how to achieve it consistently.

The Components of Vibe Coding

Vibe coding emerges at the intersection of several factors:

• Environmental Design: Your physical and digital workspace setup
• Mental Preparation: Rituals to enter the right headspace
• Task Selection: Choosing work that matches your energy
• Flow Triggers: Elements that help maintain focus

One surprising finding: the developers who achieved flow most frequently weren't necessarily the most skilled technically—they were the ones who had mastered their environment and habits.

Creating Your Vibe Coding Setup

Here's a step-by-step guide to creating your optimal coding environment:

1. Lighting: Use warm, indirect lighting to reduce eye strain
2. Sound: Experiment with different soundscapes (nature sounds, brown noise, or complete silence)
3. Tooling: Customize your IDE with themes and shortcuts that feel intuitive
4. Distraction Control: Use apps to block notifications during focus sessions
5. Physical Comfort: Invest in ergonomic equipment that you forget you're using

The key is to experiment and notice what works for you. Track your productive sessions—what were the common factors? Build from those observations.

Maintaining the Vibe

Once you're in the zone, these techniques can help you stay there:

• Work in 90-minute sessions with clear breaks
• Keep a "parking lot" notepad for distracting thoughts
• Use the Pomodoro technique with longer intervals
• Have water and healthy snacks within reach

Remember, vibe coding isn't about forcing productivity—it's about creating conditions where deep work happens naturally. What's your vibe coding setup? Share your tips below!

Creating a compelling product vision is more than putting words on paper or developing a roadmap—it's crafting an idealized view of the experience users will have with your digital product. This vision serves as your North Star, guiding every design and development decision.

Through my work with dozens of startups and enterprises, I've developed a framework for creating visions that inspire teams and resonate with users.

The Elements of Visionary Design

Great product visions share several key characteristics:

• User-Centered: Focused on real user needs and emotions
• Future-Oriented: Anticipates where technology and behaviors are heading
• Authentic: Aligns with your brand's core values
• Inspiring: Motivates the team to build something remarkable
• Flexible: Adaptable as you learn from users

One common mistake is confusing vision with features. Your vision should describe the experience, not the implementation.

Crafting Your Vision

Follow this process to develop your product vision:

1. User Research: Conduct deep interviews to understand pain points and desires
2. Trend Analysis: Study technological and behavioral trends in your domain
3. Vision Workshops: Bring together cross-functional teams to brainstorm
4. Prototyping: Create low-fidelity prototypes to test vision concepts
5. Refinement: Iterate based on feedback from stakeholders and users

Remember that your vision will evolve. Revisit it quarterly to ensure it still aligns with user needs and market realities.

Communicating the Vision

A vision that isn't communicated effectively is worthless. Use these techniques:

• Create a short, memorable vision statement
• Develop visual artifacts like mood boards or storyboards
• Record video walkthroughs of the ideal user journey
• Incorporate the vision into onboarding for new team members

The most successful products aren't just collections of features—they're manifestations of a clear, compelling vision. What's your product vision? How do you keep it alive in your organization?

Let's face it—errors are the soul of programming. No matter how experienced you are, you'll spend a significant portion of your time tracking down bugs. After mentoring dozens of junior developers, I've developed a systematic approach that makes debugging less frustrating and more efficient.

The key is to approach debugging methodically rather than randomly changing code hoping something works.

The Debugging Mindset

Before diving into code, adopt these mental frameworks:

• Assume You're Wrong: The computer is usually right—if the code isn't working, you misunderstood something
• Embrace the Process: Debugging is where real learning happens
• Think Like a Scientist: Form hypotheses and test them systematically
• Take Breaks: Fresh eyes spot what tired eyes miss

One of my mentors taught me: "You don't understand code until you've debugged it." This perspective transformed how I approach errors.

The Step-by-Step Debugging Process

Follow this sequence when facing an error:

1. Reproduce the Error: Can you make it happen consistently?
2. Read the Error Message: Most contain valuable clues about what went wrong
3. Check Recent Changes: What did you modify before the error appeared?
4. Isolate the Problem: Comment out code sections to find where it breaks
5. Inspect State: Use debuggers or logs to examine variable values
6. Form a Hypothesis: Based on evidence, what do you think is wrong?
7. Test Your Fix: Make small changes and verify they work

This process prevents the common mistake of making multiple changes at once, which often introduces new bugs.

Advanced Debugging Techniques

Once you've mastered the basics, try these pro techniques:

• Rubber Duck Debugging: Explain your code line-by-line to an inanimate object
• Time Travel Debugging: Use tools that let you step backward through execution
• Binary Search: Comment out half your code to quickly locate issues
• Visualization: Draw data flows or state diagrams to spot inconsistencies

Remember, every bug you solve makes you a better developer. What's your most memorable debugging story? Share it in the comments!

Plausible Analytics is an open-source, privacy-focused alternative to Google Analytics that provides essential website insights without compromising user privacy. While Plausible offers a hosted service, self-hosting gives you complete control over your data and infrastructure.

In this comprehensive guide, I'll walk you through the entire process of self-hosting Plausible, from server setup to daily maintenance.

Why Choose Plausible?

Plausible stands out from traditional analytics platforms:

• Lightweight: The script is under 1KB (vs. 45KB for Google Analytics)
• Privacy-focused: No cookies, no personal data collection, compliant with GDPR, CCPA
• Simple: Intuitive dashboard with only the metrics that matter
• Open Source: Fully transparent codebase you can audit

For many projects, especially those in regulated industries or with privacy-conscious audiences, Plausible is the perfect solution.

Server Requirements

Before installing, ensure your server meets these requirements:

• Ubuntu 20.04 or 22.04 (recommended)
• Minimum 1 CPU core, 2GB RAM (4GB recommended for production)
• Docker and Docker Compose installed
• Domain name with DNS configured
• SSL certificate (Let's Encrypt recommended)

Installation Steps

Follow these steps to get Plausible running:

1. Clone the Repository:
   git clone https://github.com/plausible/hosting
2. Configure Environment:
   Edit the .env file with your domain, admin credentials, and email settings
3. Start Containers:
   docker-compose up -d
4. Setup Nginx:
   Configure reverse proxy with SSL (sample config provided in repo)
5. Initialize Database:
   Run docker-compose exec plausible_db psql -U postgres to create the database

The entire process typically takes 15-30 minutes for someone familiar with server administration.

Maintenance and Scaling

Once running, follow these best practices:

• Set up automated backups for the PostgreSQL database
• Monitor resource usage and scale as needed
• Subscribe to Plausible's release announcements for updates
• Consider using a managed database service for production

For high-traffic sites (10M+ pageviews/month), you may need to:

• Upgrade to a more powerful server
• Configure ClickHouse for analytics storage
• Set up read replicas for the database

Self-hosting Plausible gives you complete ownership of your analytics data while respecting your visitors' privacy. Have questions about your specific setup? Ask in the comments!

Figma has become the dominant tool for app design, making collaboration between designers and developers smoother than ever. However, the transition from Figma designs to production code remains challenging for many teams. After implementing hundreds of Figma designs across various frameworks, I've compiled the best practices that save time and reduce frustration.

The key is establishing processes and conventions before the first pixel gets coded.

Pre-Development Preparation

Before writing any code, ensure the Figma file is developer-ready:

• Component Organization: Verify all reusable elements are proper Figma Components
• Naming Conventions: Check that layers and frames follow consistent naming
• Design Tokens: Extract colors, typography, spacing into a centralized system
• Responsive Behavior: Document how components should adapt to different screens
• Asset Export: Confirm all icons/images are properly sized and formatted

Investing time in this preparation phase typically saves 10-20 hours of development time per project.

Implementation Strategies

Choose the right approach based on your team and project:

1. Manual Implementation: Highest quality but most time-consuming
2. Figma Plugins: Tools like Anima or Figma to Code can generate starter code
3. Design System Sync: Connect Figma to Storybook for component parity
4. Hybrid Approach: Use generated code for simple elements, hand-code complex ones

For most professional teams, I recommend the hybrid approach—it balances speed with quality.

Technical Implementation Tips

These techniques will improve your implementation quality:

• Pixel-Perfect Isn't Always Right: Adapt designs for real-world constraints
• Use Relative Units: Implement with rem/em rather than px for better responsiveness
• Leverage CSS Variables: Map Figma styles to CSS custom properties
• Component Props: Match Figma component properties to React/Vue props
• Auto-Layout Translation: Convert Figma auto-layout to CSS Flex/Grid

Collaboration Best Practices

Improve designer-developer workflow with these strategies:

• Establish a shared vocabulary for design elements
• Schedule weekly syncs to review implementation progress
• Use Figma comments to flag implementation questions
• Create a "Dev Notes" page in Figma for technical details
• Document design-to-code decisions for future reference

The most successful teams treat design implementation as a collaborative process rather than a handoff. What's your biggest Figma-to-code challenge? Let's discuss solutions!

JavaScript has evolved dramatically in recent years, with new syntax features and patterns emerging that make code more expressive, maintainable, and performant. In this article, I'll cover the modern patterns that every professional JavaScript developer should have in their toolkit.

These patterns represent the collective wisdom of the JavaScript community, distilled through years of real-world application.

1. Module Pattern with ES6 Modules

The old IIFE (Immediately Invoked Function Expression) pattern has been largely replaced by native ES6 modules:

// lib/utils.js
export const formatCurrency = (amount) => {
    return new Intl.NumberFormat('en-US', {
        style: 'currency',
        currency: 'USD'
    }).format(amount);
};

// app.js
import { formatCurrency } from './lib/utils.js';
console.log(formatCurrency(100)); // "$100.00"

Benefits:

• Explicit dependencies
• Better tooling support
• Static analyzability

2. Nullish Coalescing and Optional Chaining

These two operators solve common pain points:

// Nullish coalescing (??)
const timeout = settings.timeout ?? 3000; // only falls back if null/undefined

// Optional chaining (?.)
const userName = user?.profile?.name ?? 'Anonymous';

They eliminate verbose null checks while being more precise than logical OR (||).

3. Functional Array Operations

Modern JavaScript provides powerful array methods that replace most loops:

// Transform
const prices = products.map(p => p.price);

// Filter
const expensive = products.filter(p => p.price > 100);

// Reduce
const total = products.reduce((sum, p) => sum + p.price, 0);

// Find
const featured = products.find(p => p.featured);

// Some/Every
const hasStock = products.some(p => p.inStock);
const allHaveStock = products.every(p => p.inStock);

These methods are more declarative and often more performant than manual loops.

4. Object Property Shorthand

Cleaner object creation with less repetition:

const name = 'Alex';
const age = 30;

// Old way
const person = {
    name: name,
    age: age
};

// Modern way
const person = { name, age };

5. Async/Await Pattern

The cleanest way to work with promises:

async function fetchUserData(userId) {
    try {
        const response = await fetch(`/api/users/${userId}`);
        const data = await response.json();
        return data;
    } catch (error) {
        console.error('Failed to fetch user:', error);
        throw error;
    }
}

Async/await makes asynchronous code read like synchronous code, reducing callback hell.

6. Destructuring Assignment

Elegant extraction of values from objects and arrays:

// Object destructuring
const { name, age } = person;

// Array destructuring
const [first, second] = someArray;

// Parameter destructuring
function greet({ name, age }) {
    return `Hello ${name}, you're ${age} years old!`;
}

These patterns represent just the tip of the iceberg. Modern JavaScript offers many more features that can make your code cleaner and more maintainable. What's your favorite modern JavaScript pattern? Share in the comments!

Continuous Integration and Continuous Deployment (CI/CD) have become essential practices for modern development teams, enabling rapid, reliable software delivery. In this guide, I'll walk you through setting up a professional-grade CI/CD pipeline from scratch, whether you're working on a small personal project or an enterprise application.

A well-configured pipeline can mean the difference between deploying with confidence and deploying with crossed fingers.

The CI/CD Pipeline Architecture

A complete pipeline typically includes these stages:

1. Code Commit: Trigger pipeline on git push
2. Build: Compile code and dependencies
3. Test: Run unit, integration, and end-to-end tests
4. Security Scan: Check for vulnerabilities
5. Deploy to Staging: Release to test environment
6. Manual Approval: Optional gate for production
7. Deploy to Production: Release to users
8. Post-Deploy Verification: Health checks and monitoring

Setting Up with GitHub Actions

Here's a complete .github/workflows/pipeline.yml configuration:

name: CI/CD Pipeline

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  build-and-test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Set up Node.js
      uses: actions/setup-node@v3
      with:
        node-version: 18
    
    - name: Install dependencies
      run: npm ci
      
    - name: Run tests
      run: npm test
      
    - name: Build
      run: npm run build
      
    - name: Run security scan
      uses: shiftleft/scan-action@v2
      
  deploy-staging:
    needs: build-and-test
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - run: npm run deploy -- --env=staging
      
  deploy-prod:
    needs: deploy-staging
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - run: npm run deploy -- --env=production

Advanced Pipeline Features

Once you have the basics working, add these professional touches:

• Parallel Testing: Split test suites across multiple runners
• Caching: Cache dependencies between runs
• Artifacts: Store build outputs for later jobs
• Environment Secrets: Secure handling of credentials
• Rollback Plan: Automated reverts on failure

Monitoring and Metrics

Track these key pipeline metrics:

• Build Success Rate: Percentage of successful builds
• Test Coverage: Percentage of code covered by tests
• Deployment Frequency: How often you deploy
• Lead Time: Time from commit to production
• Mean Time to Recovery (MTTR): How quickly you fix failures

A mature CI/CD pipeline becomes your team's safety net, enabling rapid iteration while maintaining stability. What CI/CD challenges have you faced? Let's troubleshoot together in the comments!

The React team has been working on groundbreaking changes for the next major version, and I've had the privilege of participating in some of these discussions. React 19 isn't just an incremental update—it represents a fundamental shift in how we'll build React applications. Here's an in-depth look at the upcoming features and their implications.

Note: These features are based on the current RFCs (Request for Comments) and may change before final release.

1. Server Components (Stable)

Server Components will move from experimental to stable, enabling:

• Zero-bundle-size components that render on the server
• Direct database access from components (secure with server boundaries)
• Automatic code splitting at the component level

// This component only runs on the server
// and doesn't ship JavaScript to the client
async function UserProfile({ userId }) {
    const user = await db.users.get(userId);
    return <Profile user={user} />;
}

2. Asset Loading

A new asset system will handle fonts, images, and other resources:

• Automatic image optimization (size/format based on device)
• Font preloading with no layout shift
• Built-in loading states for assets

// In your component
<Image
    src="/profile.jpg"
    alt="Profile"
    width={500}
    height={500}
    loading="lazy"
/>

3. Actions API

A new way to handle data mutations:

// Define an action
async function updateUser(formData) {
    'use server';
    await db.users.update(formData.get('userId'), {
        name: formData.get('name')
    });
}

// Use it in your component
<form action={updateUser}>
    <input name="userId" defaultValue={user.id} />
    <input name="name" defaultValue={user.name} />
    <button type="submit">Save</button>
</form>

Benefits include automatic pending states, optimistic updates, and error handling.

4. Document Metadata

Manage <head> tags directly from components:

function BlogPost({ post }) {
    return (
        <>
            <title>{post.title}</title>
            <meta name="description" content={post.excerpt} />
            <article>
                <h1>{post.title}</h1>
                <div>{post.content}</div>
            </article>
        </>
    );
}

5. Compiler Optimizations

The React compiler (previously known as React Forget) will:

• Automatically memoize components and values
• Optimize re-renders without manual useMemo/useCallback
• Reduce bundle size through dead code elimination

Migration Strategy

To prepare for React 19:

1. Start experimenting with Server Components in Next.js
2. Adopt the new hooks (use, useOptimistic) as they become available
3. Audit your codebase for patterns that won't work with the compiler
4. Follow the official React blog for updates

React 19 represents the framework's continued evolution toward a more unified, efficient developer experience. Which upcoming feature are you most excited about? Let's discuss in the comments!

TensorFlow.js brings the power of machine learning directly to JavaScript developers, enabling you to build and deploy ML models in the browser and Node.js without complex backend infrastructure. In this guide, I'll walk you through creating your first AI-powered web application.

Why TensorFlow.js?

Key advantages of using TensorFlow.js:

• Privacy: Process data client-side without sending to servers
• Latency: Real-time predictions without network calls
• Cost: No need for expensive cloud ML services
• Accessibility: Works on any device with a browser

Getting Started

Basic setup for a TensorFlow.js project:

// Install via npm
    npm install @tensorflow/tfjs
    
    // Or load directly in browser
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.18.0/dist/tf.min.js"></script>

Building an Image Classifier

Example of loading a pre-trained model:

async function loadModel() {
        const model = await tf.loadLayersModel('model.json');
        return model;
    }
    
    async function predict(imageElement) {
        const model = await loadModel();
        const tensor = tf.browser.fromPixels(imageElement)
            .resizeNearestNeighbor([224, 224])
            .toFloat()
            .expandDims();
        
        const predictions = await model.predict(tensor).data();
        return predictions;
    }

This opens up possibilities for building privacy-preserving AI features directly in your web apps.

Entering the world of Web3 development can be daunting, but smart contracts are the foundation of decentralized applications. This guide will walk you through creating your first smart contract from scratch.

Understanding Smart Contracts

Smart contracts are:

• Self-executing contracts with terms written in code
• Stored on a blockchain for immutability
• Automatically enforced without intermediaries

Setting Up Your Environment

Tools you'll need:

1. Node.js and npm
2. Hardhat or Truffle development framework
3. MetaMask wallet
4. Test ETH (from a faucet)

Your First Smart Contract

Simple storage contract in Solidity:

// SPDX-License-Identifier: MIT
    pragma solidity ^0.8.0;
    
    contract SimpleStorage {
        uint storedData;
        
        function set(uint x) public {
            storedData = x;
        }
        
        function get() public view returns (uint) {
            return storedData;
        }
    }

This contract allows storing and retrieving a single unsigned integer on the blockchain.

Web accessibility ensures that people with disabilities can perceive, understand, navigate, and interact with websites. This guide covers everything from semantic HTML to advanced ARIA patterns.

Core Principles (POUR)

• Perceivable: Available to the senses
• Operable: Navigable via various input methods
• Understandable: Clear and predictable
• Robust: Works across browsers and devices

Essential Techniques

<!-- Good semantic HTML -->
    <nav aria-label="Main navigation">
      <ul>
        <li><a href="/" aria-current="page">Home</a></li>
        <li><a href="/about">About</a></li>
      </ul>
    </nav>
    
    <!-- Image with proper alt text -->
    <img src="chart.png" alt="Sales growth chart: 45% increase Q1 2025">

Testing Tools

1. Screen readers (NVDA, VoiceOver)
2. Color contrast checkers
3. Keyboard navigation testing
4. axe DevTools browser extension

Generics enable creating reusable components that work with multiple types while maintaining type safety. Let's explore advanced patterns.

Basic Generic Function

function identity<T>(arg: T): T {
        return arg;
    }
    
    let output = identity<string>("hello");

Generic Constraints

interface Lengthwise {
        length: number;
    }
    
    function loggingIdentity<T extends Lengthwise>(arg: T): T {
        console.log(arg.length);
        return arg;
    }

Utility Types with Generics

type Partial<T> = {
        [P in keyof T]?: T[P];
    };
    
    type Readonly<T> = {
        readonly [P in keyof T]: T[P];
    };

Go's simplicity, performance, and excellent concurrency support make it perfect for microservices architecture.

Basic HTTP Service

package main
    
    import (
        "net/http"
    )
    
    func handler(w http.ResponseWriter, r *http.Request) {
        w.Write([]byte("Hello from Go microservice!"))
    }
    
    func main() {
        http.HandleFunc("/", handler)
        http.ListenAndServe(":8080", nil)
    }

gRPC Service Definition

syntax = "proto3";
    
    service ProductService {
        rpc GetProduct (ProductRequest) returns (ProductResponse);
    }
    
    message ProductRequest {
        string id = 1;
    }
    
    message ProductResponse {
        string id = 1;
        string name = 2;
        float price = 3;
    }

Container queries finally allow components to adapt to their container's size rather than just the viewport, solving a long-standing CSS limitation.

Basic Implementation

/* Define containment context */
    .component-container {
      container-type: inline-size;
    }
    
    /* Style based on container width */
    @container (min-width: 400px) {
      .card {
        grid-template-columns: 1fr 2fr;
      }
    }

Real World Example

.product-card {
      container: card / inline-size;
    }
    
    @container card (width < 300px) {
      .product-image {
        width: 100%;
        height: auto;
      }
      
      .product-details {
        display: none;
      }
    }

PostgreSQL offers incredible performance when properly tuned. Here are professional techniques used in high-traffic production environments.

Key Configuration Parameters

# postgresql.conf
    shared_buffers = 4GB                  # 25% of total RAM
    effective_cache_size = 12GB           # 75% of total RAM
    work_mem = 64MB                       # For complex sorts
    maintenance_work_mem = 1GB            # For index creation
    random_page_cost = 1.1                # For SSD storage

Query Analysis

EXPLAIN ANALYZE 
    SELECT * FROM users 
    WHERE email = 'user@example.com';

Partial Index Example

CREATE INDEX idx_orders_active 
    ON orders (customer_id) 
    WHERE status = 'active';

WebAssembly enables near-native performance in the browser by compiling languages like Rust, C++, and Go to a portable binary format.

Rust to WASM Example

// src/lib.rs
    #[wasm_bindgen]
    pub fn add(a: i32, b: i32) -> i32 {
        a + b
    }
    
    // Build with
    // wasm-pack build --target web

JavaScript Integration

import init, { add } from './pkg/wasm_project.js';
    
    async function run() {
        await init();
        console.log(add(2, 3)); // 5
    }

Mobile-first design is now standard practice, with these key principles for 2025:

Core Principles

• Prioritize content over chrome
• Design for thumb zones
• Optimize for intermittent connectivity
• Reduce cognitive load

CSS Mobile-First Example

/* Base styles (mobile) */
.component {
  padding: 1rem;
  font-size: 1rem;
}

/* Tablet */
@media (min-width: 768px) {
  .component {
    padding: 1.5rem;
  }
}

/* Desktop */
@media (min-width: 1024px) {
  .component {
    padding: 2rem;
    font-size: 1.2rem;
  }
}

Building a successful SaaS requires careful planning across technical and business dimensions.

Technical Architecture

• Multi-tenant database design
• Isolated customer data
• Scalable billing system
• Zero-downtime deployments

Example Tech Stack

Frontend: React/Next.js
Backend: Node.js/NestJS
Database: PostgreSQL
Auth: Clerk/Supabase
Payments: Stripe
Hosting: AWS/GCP

Quantum computing leverages quantum mechanics to solve problems intractable for classical computers.

Basic Q# Example

operation HelloQ() : Unit {
    Message("Hello quantum world!");
    let qubit = Qubit();
    H(qubit); // Apply Hadamard gate
    let result = M(qubit); // Measure
    Message($"Result: {result}");
    Reset(qubit);
}

Quantum Principles

• Superposition (0 and 1 simultaneously)
• Entanglement (linked qubit states)
• Interference (wave behavior)