⚛️ What is Quantum Computing?
Fundamentally, quantum computing is based on the laws of quantum mechanics, the science that describes the behavior of minuscule particles like electrons. Quantum computers use qubits, which are different from traditional computers that use bits (0s and 1s). Because of a property known as superposition, qubits can be 0, 1, or both at the same time.

This implies that quantum computers are exponentially more powerful for some tasks because it can process huge amounts of data at once.

🚀 The Reason It's Revolutionary:
Unmatched Speed: It would only take seconds to solve problems that would take thousands of years for traditional computers.
Improved Security: Data breaches may become almost impossible with quantum cryptography.
Scientific Advancements: By accurately simulating molecules at the atomic level, it has the potential to speed up drug discovery, materials science, and climate modeling.

🧩 Real-World Development:
Both Google and IBM have constructed functional quantum processors. In 2019, Google even beat all supercomputers in solving a problem, achieving "quantum supremacy."

Cloud-based startups such as IonQ and Rigetti are expanding access to quantum systems.

The importance of quantum research is being demonstrated by the billions of dollars and governments around the world are investing in it.

🔮 What's Up Next:
Classical computers won't be replaced by quantum computing anytime soon. They will cooperate, with classical systems managing routined tasks and quantum systems handling more complex computations.

As technology advances, we may witness innovations in genetics and drug design, Modeling finances, Cybersecurity Artificial Intelligence

💡Conclusion:
Although quantum computing is still in its infancy, it has enormous potential. It symbolizes the next great leap for humanity^. A journey into a future where physics and computing power combine to solve issues that were previously thought to be insurmountable.

If you're still sharing the same password across your email, bank, and Netflix account, or if your password is a combination of "Password123," then your security is gravely compromised. With the world in the digital era, relying on human memory to deal with complicated, distinctive passwords for dozens of websites is a recipe for doom.

The answer isn't to be an expert in cryptography; it's to offload the task to a tool made for the purpose: the password manager.

This handbook demystifies how this tool works, covers the fundamentals of digital security, and guides you through selecting the correct manager for you.

Part 1: The Foundations of Password Hygiene

The objective of "password hygiene" is easy to state: to make a hacker's work as hard and tedious as possible. These three non-negotiable rules that all password managers assist you in imposing are explained below:

1. Length Over Complexity (But Use Both)

A good password is not about random symbols and digits; it is about length. A 16-character password is billions of times more secure than an 8-character password. Today's crack software can test billions of passwords per second, so short and anticipated patterns do not work.

Best Practice: Use at least 14 characters.

How a Manager Assists: They have in-built, customizable generators that generate passwords such as 43t%p@z*W7#B!9gE, which are not humanly possible to remember but ideal for a computer to utilize.

2. One-of-a-Kind for Each Account

If a site you use (such as a small forum or even a large retailer) has a data breach, hackers will quickly use those stolen login credentials (email + password) and try to use them on your most valuable accounts (banking, main email, social media). This is known as a Credential Stuffing Attack.

Best Practice: Each and every login needs a different password.

How a Manager Helps: It stores a unique, randomly generated password for every site, so if one service is breached, all your other accounts remain secure.

3. Knowing the Health of Your Vault

Good password managers constantly monitor your stored logins and check them against databases of known compromised credentials that have been leaked in public breaches (often called "Dark Web Monitoring").

How a Manager Assists: It instantly marks passwords as weak, reused, or compromised in a breach, making you immediately change them.

Part 2: The Safety Net You Need: Two-Factor Authentication (2FA)

A password manager safeguards what you know (your password). Two-Factor Authentication (or Multi-Factor Authentication, MFA) safeguards what you have.

2FA asks for a second item of information—typically a one-time code sent to your phone—in addition to your password to access your account. Even though a hacker might steal your super-long, special password, they can't get into your account without your actual phone.

Why You Need to Enable 2FA Everywhere:

Integrating 2FA with Your Manager:

Many of the top password managers now include a built-in Time-based One-time Password (TOTP) generator. Instead of using a separate app (like Google Authenticator), the manager can store both your password and your 2FA code in the same encrypted vault, making the login process seamless while retaining the high security of two factors.

Part 3: Selecting the Best Password Manager

When considering alternatives, you should be on the lookout for four main features: Zero-Knowledge Architecture (only you can decrypt your vault), Cross-Platform Syncing, a strong Password Generator, and 2FA Support.

These three are currently market leaders:

Our Most Important Password: The Master Key

Regardless of which manager you use, you will only need to remember a single password—the master password that opens your whole vault.

Make it long: For 20+ characters.

Make it memorable: Use a passphrase, such as "TheGreenElephantFliesAtNoon!"

Make it unique: NEVER use this password anywhere else.

Beginning the transition can seem overwhelming, but importing your old passwords and exporting them into an encrypted safe is the greatest thing you can do today to lock down your online existence.

AI tools like ChatGPT, Google Gemini, and GitHub Copilot have changed the way we obtain knowledge and perform tasks.

But have you ever thought about how these AI tools can provide you with answers within some seconds? Beneath the easy response is a series of complex calculations. In this blog, we will explore how AI chatbot works in step by step process-

Natural Language Processing(NLP)-

The first stage is for AI to comprehend what you are requesting. This understanding is interpreted with Natural Language Processing (NLP). NLP enables AI to understand human language, reading it and comprehending the meaning attached to human language.

Tokenization : AI breaks your input into small groups of tokens.

A token can be a word or part of a word.

For example, if you give input:

"Why is the sky blue?"

AI segments it into a tokens list like:

["Why", "is", "the", "sky", "blue", "?"]

Making tokens allows the computer to work with your text better.

Contextual Analysis: AI considers the context and attempts to understand the meaning. Words can have different meanings depending on the sentence.

For example, in our example sentence, “sky” is clearly referencing the sky above not a person named “Sky”. The AI uses its models to attempt to guess the correct meaning.

Contextual Reasoning-

After comprehending your query, AI relies on contextual reasoning to determine what type of response to generate. It uses the models like Transformers, which have been trained on massive amount of data.

Pattern Recognition: AI relies on its knowledge of patterns in language to predict sequential words. As in the example -

“Why is the sky blue?”

AI will know from patterns in its training that the answer will typically require a response talking about light, the atmosphere, and scattering.

Self-Attention Mechanism: This is what helps AI identify, out of all the words in the question, the most important to focus on as they generate a response. In “sky” and “blue” are the most important as key words in this example.

This self-attention mechanism can make sure that the focus of the reasoned response to the answer is given to the words that really matter in the question.

Creating Response

Once understanding the question, it starts to give an answer predicting one word at a time, choosing the most probable word based on the patterns it has learned. As an example, it could generate:

"The sky appears blue because sunlight is scattered by the air in the atmosphere, and blue light scatters more than other colors."

AI is also able to use these techniques to make the answer sound natural and fluid, so it doesn’t sound as if it is answering in a robotic way.

Safe and Accurate

AI performs a safety and quality check before providing a response to ensure that the generation is correct and appropriate.

Content Moderation: AI uses this type of algorithms to check if the generated response contains harmful, biased, or irrelevant information. This helps to ensure that any given response is factual, respectful, and appropriate for all users.

Fine-Tuning: AI uses user feedback and new data from the internet, to continuously improve the model. This is important for AI to stay relevant, find the best answer, and model contextual understanding. Together, these steps ensure every response is safe, reliable, and as easy to comprehend as possible.

Giving the Response

At last, AI gives the response to your device. Even though it appears just like talking with someone, AI conducts thousands of calculations in fractions of a second, including tokenization, pattern recognition, reasoning, and filtering.

Building a quantum computer isn’t about power — it’s about survival.

🌪️ The Fragile Nature of Quantum Computers

Quantum computers operate on qubits, which can exist in a superposition of 0 and 1.
But this power comes with a cost — qubits are incredibly unstable. Tiny vibrations, temperature changes, or even stray electromagnetic fields can collapse their state, causing what scientists call decoherence.

In classical computing, an error might flip a bit from 0 → 1, which is easy to detect and fix.
In quantum computing, the problem is far deeper — an error might distort a probability amplitude, destroying information you can’t directly copy or observe.

That’s where Quantum Error Correction (QEC) enters the scene.

🧩 Why Traditional Error Correction Fails

Classical computers use redundancy — think parity bits, Hamming codes, or checksums.
Quantum systems, however, can’t simply copy qubits for redundancy due to the no-cloning theorem — a fundamental rule that prevents exact duplication of unknown quantum states.

So how do we protect something we can’t even copy?

⚛️ The Magic of Logical Qubits

Quantum engineers use a clever trick — encode one logical qubit into many physical qubits.
Instead of duplicating information, they spread it across entangled qubits so that if one gets corrupted, the others can reveal what went wrong.

The Surface Code is currently the most promising approach. It maps qubits onto a 2D grid, continuously checking for parity errors in clever ways that don’t destroy the quantum state.

🧠 Example:
To store a single logical qubit, IBM or Google might need hundreds — even thousands — of physical qubits just to keep it stable long enough to compute.

⚙️ The State of Quantum Error Correction Today

• Google Quantum AI (2023–2024): Demonstrated scaling of logical qubits, showing reduced error rates as system size increased — a milestone toward “fault-tolerant” quantum computing.

• IBM: Working on dynamic circuits and heavy-hex lattices optimized for error correction.

• Quantinuum: Developing logical qubits with trapped-ion systems that maintain coherence longer.

Despite this progress, full-scale fault-tolerant systems are still years away. Every advance in QEC pushes that horizon closer — and each step demands not just physics, but world-class software and control engineering.

🚀 Why It Matters

Without reliable error correction, a 1000-qubit quantum computer is practically useless.
With it, the same machine could outperform the most powerful classical supercomputers — unlocking quantum chemistry, optimization, and AI breakthroughs.

Error correction is the unseen hero of the quantum race — the engineering bridge between theory and reality.

Suppressing quantum errors by scaling a surface code logical qubit

🧭 Getting Started with Quantum Computing

If this world fascinates you, here’s where you can begin:

🧑‍💻 Hands-on Platforms

• IBM Quantum Lab: quantum-computing.ibm.com — run real quantum circuits on IBM’s hardware for free.

• Microsoft Quantum Development Kit (Q#): A beginner-friendly SDK for writing quantum programs in Visual Studio Code.

• Google Cirq: Python framework to simulate and experiment with quantum circuits.

🏁 Conclusion

Quantum error correction isn’t glamorous — no flashy demos or exponential speedups. But it’s the foundation on which quantum advantage will be built.

The future of computing might not depend on who builds the biggest quantum chip — but on who masters the art of keeping it from falling apart.

“The greenest code is not just fast — it’s efficient, maintainable, and sustainable.”

⚡ Why Green IT Matters

• Data centers consume ~3% of global electricity (and growing).

• Training one large AI model can emit as much CO₂ as five cars in their entire lifetime.

• E-waste is piling up: millions of tons of discarded electronics every year.

Sustainability in IT isn’t just about being “eco-friendly” — it’s about efficiency, cost savings, and long-term resilience.

🏗️ Core Areas of Green IT

1. Green Data Centers

• Energy-efficient cooling (liquid cooling, immersion cooling).

• Server virtualization to reduce idle hardware.

• Renewable energy integration (solar, wind).

2. Energy-Efficient Hardware

• ARM-based processors (low power, high efficiency).

• ASICs and TPUs designed for specific workloads.

• Recycling and modular designs for longer lifespans.

3. Sustainable Software Engineering

• Writing optimized, low-complexity code.

• Reducing redundant computations (e.g., caching, batch processing).

Carbon-aware scheduling — running heavy jobs when renewable energy availability is high.

4. Smart Networks & Edge Computing

• Processing data locally at the edge to reduce data center traffic.

• Energy-aware routing in large-scale networks.

5. Circular Economy in IT

• Extending hardware life cycles.

• Repairability over replacement.

Recycling rare earth materials from electronics.

🌍 Case Studies & Real-World Initiatives

• Google runs its data centers at a PUE (Power Usage Effectiveness) of 1.1, among the most efficient in the world. [1]

• Microsoft is experimenting with underwater data centers for natural cooling as a part of Project Natick.

🔧 How Developers Can Contribute

• Choose efficient algorithms.

• Avoid unnecessary API calls or database hits.

• Optimize build pipelines.

• Deploy apps in regions with renewable energy sources.

🚀 Future of Green IT

The future of Green IT is being shaped by cutting-edge innovations and regulatory shifts. AI-driven energy optimization in cloud workloads is enabling smarter resource allocation, reducing unnecessary consumption, and improving efficiency. Quantum computing holds promise for solving complex problems with far greater energy efficiency compared to classical systems. At the software level, carbon-aware programming frameworks are being integrated into development tools, empowering developers to make energy-conscious choices during coding and deployment. Alongside these technological advancements, governments are increasingly enforcing carbon disclosure regulations for IT companies, ensuring accountability and pushing the industry toward sustainable practices.

✅ Conclusion

Green IT is not a “nice-to-have” anymore — it’s a necessity. As technologists, we hold the power to design systems that are not only scalable and reliable but also sustainable. The future of computing won’t just be measured in FLOPS or latency — but also in carbon footprints per computation.

🔗Sources

1. https://dgtlinfra.com/pue-power-usage-effectiveness/

2. https://news.microsoft.com/source/features/sustainability/project-natick-underwater-datacenter/

3. https://www.device42.com/blog/2023/02/23/maximize-data-center-energy-efficiency-by-calculating-and-improving-power-usage-effectiveness-pue/

4. https://www.ibm.com/think/topics/green-technology

5. Cover Photo : Arkadip Ray

Just imagine this, when folks used landlines, you didn't memorize all the phone numbers. You simply remembered strings of names and searched for numbers in a phonebook. DNS serves the same function on the internet. It takes a name you enter (e.g., youtube.com) and determines the precise numerical address where that page resides. If it didn't exist, you'd be memorizing strings of numbers like 142.250.190.206 whenever you wanted to see a video. Not a good time.

So, What’s Actually Happening?

When you enter the domain, such as openai.com, your computer first looks to see if it already has the answer in something known as a cache.

If not, it queries a DNS resolver, often operated by your internet provider or a public service such as Google or Cloudflare.

Then the resolver plays detective, asking a chain of servers, starting with the root servers, then the domain extensions (.com, .org, etc.), and finally the site’s own authoritative server.

Once the resolver gets the correct IP address, it hands it back to your browser.

Your browser then uses that IP to fetch the site, and boom, you’re scrolling, streaming, or searching in just a blink.

All this sleuthing occurs in such rapid-fire fashion that the majority of us never even perceive it.

Why DNS Is a Big Deal?

DNS makes the internet accessible. Picture having to memorize dozens or even hundreds of numbers just to read your email, get the news, or send a message to friends. Thanks to DNS, we can use simple names instead of naked numbers.

But DNS is more than just a matter of convenience. It also:

• Assists in directing traffic to servers so sites don't overload and crash.

• Directs emails properly by utilizing something known as MX records.

• Adds a security layer in the form of DNSSEC, which prevents malicious tampering.

When DNS Goes Wrong?

Just like any system, DNS has its vulnerable areas:

• If the DNS servers are brought down, sites may become inaccessible even though the sites themselves are functioning properly.

• Sometimes, hackers use DNS exploits such as DNS spoofing to redirect you to an imitation of a site.

• If your DNS resolver is slow, web pages may load slowly.

That's why others opt for faster public resolvers such as 1.1.1.1 (Cloudflare) or 8.8.8.8 (Google) in the interest of speed and security..

Fun fact: Before DNS existed, back in the early 1980s, the internet used a single file called HOSTS.TXT. This file literally listed every domain and its matching IP address, and it had to be updated by hand. As the internet exploded, that quickly became impossible to manage, which led to the creation of DNS.

DNS may not be on your mind daily, but it's one of the behind-the-scenes heroes that makes the internet work. The next time you click into your favorite site and it populates in a matter of a split second, you'll know there's a lightning-fast "phonebook lookup" being conducted behind the scenes.

These experiences, which seem real, are made possible by Augmented Reality (AR) and Virtual Reality (VR).

Definition:
Augmented Reality(AR) is a technology which shows real time digital information, e.g. text, graphics, and animations on the real world and helps the user to interact with the information through a display.

Virtual Reality (VR) is a computer-generated simulation of a three-dimensional environment that creates a virtual world, letting users experience immersively.

Why AR and VR:

By creating an entire different world, users can experience different situations, training and environment regardless of outer reality, while using AR, users can give products virtual try and reviewing the product.AR and VR use technology to create different experiences that are more realistic and interactive.

AR applications:

• Retail: Virtual try-ons for clothes or furniture placement previews.

• Navigation: Real-time overlays on maps or directions.

• Industry: Helps to do complex tasks like machinery repair or surgery guidance.

• Gaming: Games like Pokémon Go, helping to show digital gameplay in real world.

VR applications:

• Gaming: Fully immersive experiences with realistic environments.

• Training: Simulations for pilots, military, or medical professionals.

• Education: Virtual field trips or complex concept visualizations.

• Therapy: Exposure therapy or relaxation environments.

How to learn to make AR and VR applications:

1. Select Your Application

   For AR: Use Unity with AR Foundation

   • For iOS: use ARKit

   • For Android: ARCore

For VR: Use game engines e.g. Unity or Unreal Engine paired with VR SDKs like Oculus SDK or SteamVR.

2. Learn programming languages

   1. For AR:

      • Android → Java/Kotlin

      • iOS→ Swift

   2. For VR:

      • C++ → Unreal Engine

      • C# → Unity

3. Get Experience With Easy Projects
   Learn to use the applications by watching tutorials, reading documentation, or through hands-on practice.

4. Test your application with device
   To assess user experience, test your AR apps on smartphones or VR apps on headsets.

Conclusion:

AR technology combines digital content with reality. VR creates immersive digital worlds. By affecting various industries like gaming, education, retail etc, they will soon bring new changes in our daily life, making immersive experiences a part of everyday life.

The web's language is called JavaScript. Everything from dynamic content to sophisticated web applications is powered by it. However, have you ever pondered the inner workings of JavaScript? Why is it so quick, asynchronous, and single-threaded?

We'll reveal everything in this blog, from the engine to the event loop, in the most straightforward manner imaginable.

1. What is JavaScript?

JavaScript is a single-threaded, interpreted, high-level programming language. It enables websites to become interactive and operates within your browser, such as Chrome or Firefox. Consider JavaScript magic in the form of sliders, pop-ups, animations, and form validations.

2.The Fundamental JavaScript Engine

A program that runs JavaScript code is called a JavaScript engine.

Each browser has a unique engine.

• V8 (Node.js, Google Chrome)

• Firefox's SpiderMonkey

• Safari's JavaScriptCore

• Chakra (Microsoft Edge Legacy)

  Since V8 is the most well-liked and frequently utilized, we'll concentrate on it.

  V8 Engine Components:

  1.Memory Heap

• Where memory allocation takes place.

• And holds the definitions of functions, variables, and objects.

  2.The Call Stack

• Controls the invocation of functions.

• Adheres to the Last-In-First-Out (LIFO) principle.

3.Javascript Code Execution

Suppose you write the following code:

function greet() {
    console.log("Hi!");
}
greet();

Behind-the-scenes activities:

The code is parsed by the JavaScript engine. It creates a Global Execution Context.

• Memory is set aside for functions and variables.

• The Call Stack receives a push of greet().

• Console.log("Hi!") is pushed and run.

• When a function is finished, it is removed from the stack.

4.The Environment as an Execution Context

An Execution Context is created by JavaScript when code is executed, and it includes:

• The environment in which variables and functions reside is known as the variable environment.

• For addressing variable access, use the scope chain.

• This depends on how a function is called.

Execution Context Types:

It has two types.

1.When the script starts, the global execution context is created.

2.Every time a function is called, a functional execution context is created.

5.JavaScript Memory Management

Memory Heap:

• A sizable, unstructured area of memory used to store items.

Garbage Collection:

• JavaScript manages memory automatically.

• Memory used by items that are no longer in use is released by the garbage collector.

• V8 cleans up unused memory using the Mark-and-Sweep Algorithm.

6.Single-Threaded Nature of JavaScript

JavaScript manages memory automatically. Memory used by items that are no longer in use is released by the garbage collector.V8 cleans up unused memory using the Mark-and-Sweep Algorithm. it's nature Because JavaScript is single-threaded, it can only perform one action at a time. The Call Stack is used to run all code on a single main thread.

However, how does JavaScript manage asynchronous processes like setTimeout, DOM events, and API calls if it is only single-threaded?

Let's examine that in the following section.

7.Web APIs: The Toolbox of the Browser

The browser environment's Web APIs, which are not a component of JavaScript itself, are accessible to JavaScript in the browser.

Web examples:

• setTimeout()

• DOM manipulation

• fetch()

• Event listeners

  To prevent the main thread from being blocked, these tasks are assigned to the browser.

8.Task Queue & Callback Queue

Web APIs pass the callback function to the Callback Queue (also called the Task Queue) when their task is finished, such as after two seconds in setTimeout().

9.The Traffic Controller's Event Loop

The Call Stack and the Callback Queue are continuously observed by the Event Loop.

How it operates:

The Event Loop pushes the first callback from the Callback Queue to the Call Stack so that it can be executed if the Call Stack is empty.

Example:

console.log("Start");

setTimeout(() => {
  console.log("Inside Timeout");
}, 1000);

console.log("End");

Output:

Start
End
Inside Timeout

Why?

The Web API handles setTimeout() → Callback goes to the Callback Queue after 1000 ms, and the Event Loop only sends it to the Call Stack when it is empty.

10.Advanced Microtasks vs. Macrotasks

There are two kinds of task queues in JavaScript:

• Macrotask Queue: for setTimeout, setInterval, setImmediate, and I/O tasks.

• Microtask Queue: for MutationObserver, queueMicrotask, and Promises.

Prioritized and completed immediately following the current task, microtasks come before macrotasks.

11.Flow Diagram

Your Code
   ↓
JavaScript Engine (Parsing)
   ↓
Memory Allocation → Execution Context Created
   ↓
Call Stack (Function Execution)
   ↓
Web APIs (for async tasks)
   ↓
Callback Queue (waiting)
   ↓
Event Loop (checks if Call Stack is empty)
   ↓
Callback pushed to Call Stack → Executed

CONCLUSION

Although JavaScript appears to be a straightforward scripting language, it is actually a sophisticated, well-coordinated system that uses the JavaScript engine, event loop, call stack, and browser APIs to manage both synchronous and asynchronous tasks.

Debugging, performance optimization , and writing better code all depend on an understanding of this inner working.

What is Version Control System?

Version Control System(VCS) is a tool that helps to track changes to files whenever we make changes in our code.

Git is a specific type of version control system.

Why use Git?

• Open-source and free: Git is free as it is being maintained by the open-source community.

• History tracking: Git helps track changes to files and saves the earlier versions of changes in the source code.

• Collaboration: It helps developers collaborate and write code without replacing their own changes in the source code.

• Keeping backup: Git keeps a backup of every change, in case the code is lost.

How to use Git

• Repository(repo): Git project folder containing code and every change.

• Commit: A specific message of changes.

• Branch: An independent line of development based on a commit.

• Merge: Integrates changes from different branches

• Clone: Copy of the source repository taken from a remote server to the local machine.

• Fetch: Download changes from a remote server but does not make changes in local branch.

• Push: Upload local commits to a remote server(e.g., GitHub).

• Pull: Download changes from a remote server and merge those changes to the local branch.

Basic Git Commands

Real World example

Suppose a team of developers is making a new version of a website.

• Each developer clones the main source code onto their own machine from GitHub.

• One works on frontend(UI), another on backend, and another on database.

• They create branches, make changes, commit changes and push them in GitHub.

• After reviewing the changes, the commits get merged.

• The final version gets pushed to GitHub.

Difference : Git vs GitHub

Many people confuse Git with GitHub.

• Git is the tool for version control that runs on local machine.

• GitHub is the platform to store and share Git repositories online, which works with the help of a cloud server.

Git gives structure to the workflow, protects the progress, and simplifies teamwork. Git has made it easy for developers to write code and collaborate without conflict — making development much faster and more efficient.

Debugging is the most important aspect of software development. It is the act of finding and fixing errors or bugs in your code, so your applications run smoothly and efficiently. Even if your code looks "perfect" at a glance, if it cannot be traversed causally, it will lead to frustrating user experiences and wasted time for users.

Visual Studio Code (VS Code) is a widely used code editor because of its large collection of extensions. All of these extensions will greatly enhance your coding life, especially in debugging. In this article, we’ll introduce some essential extensions that will help you level up your debugging game.

Debugger for Chrome

Overview of the Extension

The extension permits you to debug your JavaScript code in VS Code using the Chrome browser. This extension has made it even more convenient since you can set breakpoints, step through your code, and inspect variables right on your editor. It is JavaScript framework agnostic, thus you can use many different JavaScript frameworks with it.

Setting Up the Extension

To begin using the Debugger for Chrome extensions:

1. Open the Extensions view by clicking on the Extensions view icon in the Activity Bar of VS Code.

2. Search “Debugger for Chrome” and install the debugger.

3. After installing, create a launch configuration by going to the Run view and selecting "create a launch.json file."

4. Choose "Chrome" from the options and customize the configuration in a way that fits you.

Best Practices for Using the Debugger for Chrome

• Use Breakpoints to halt execution at significant points of your code.

• With watch expressions, you can follow the value of the variables as you go along.

• This is a wonderful extension to debug your intricate front-end apps, where you will be able to see your changes live while you make modifications in your code.

ESLint

Understanding ESLint

ESLint is a stock analysis tool for JavaScript code. It helps developers by uninterruptedly examining the code to identify any errors or issues. ESLint is simply called a linter, which is a must-have tool in web development. ESLint corrects and cleans your code from all those pesky errors before they even run. This tool ensures to enforce consistent coding standards by following various predefined rules. These rules are customized as per the project's requirements and therefore improve the overall code quality. So, if you are dealing with JavaScript projects, ESLint is an essential extension for Visual Studio Code (VSC) to have in your arsenal! Here we go with some good points of ESLint that make it stand out from other tools.

Installation and Configuration

To install ESLint:

1. Open the Extensions view in VS Code.

2. Search for "ESLint" and install it.

3. After installation, create an ESLint configuration file in the root of your project to decide your programming standard.

Leveraging ESLint for Better Debugging

• ESLint is used to handle common problems, such as antique variables or incorrect syntax, even before running your code.

• Combine ESLint with other debugging tools, such as Chrome debuggers, for a more comprehensive debugging process.

• Real-world examples include capturing typing or logical errors that may cause operation time problems.

GitLens

Introduction to GitLens

GitLens is an extension that adds more features to basic Git functions in VS Code. It demonstrates the notion of changes in ownership and coding history, for you to better understand the background of your coding. Knowing that a bug was fixed can be very useful because now you can see when, why, and how it was fixed.

Installation and Setup

To install GitLens:

1. Open the Extensions view in VS Code.

2. Search for "GitLens" and install it.

3. After customizing, you can customize the settings to suit your choice.

   

Using GitLens for Debugging

• Use GitLens to monitor changes and determine when bugs were introduced.

• Analyze the history of the code to understand the development of your code, which can provide hints for troubleshooting.

• Reviewing the complete commit history to know which recent changes might have caused the problem.

Conclusion

In this blog, we looked at some awesome VS Code extensions for supercharging your debugging skills. From the Debugger for Chrome to GitLens, every new tool has its own functionality that can help you save time tracking down and resolving bugs. Good debugging tools are key to any developer and spend some time playing and testing these extensions to see which one fits your workflow.

But what is API actually?

API stands for Application Programming Interface.

API is the bridge that allows different software applications to communicate with each other.

Developers need this technology in every area, be it web development, app development, cloud computing, machine learning, cybersecurity, Internet of Things(IoT) etc.

Why do developers use API?

An API allows different software applications to communicate with each other by sending and receiving data in a structured format, usually over the internet. When a client makes a request to an API, it sends specific data(API key) to a server, which processes the request and returns the appropriate response. APIs enable developers to integrate third-party services without building everything from scratch.

APIs reduce manual work which leads to saving cost and time, leading to faster development of applications and easier user experience.

Like when we ask a specific location in google, it doesn't build the map from scratch. Google search fetches google map API and let us know the proper location.

There are various types of API like REST, SOAP, GraphQL, gRPC, WebSocket etc.

By connecting different and diverse applications, API makes it easier to build complex systems smoothly.

They are the reason why even in today's development APIs remain the primary standard in software development.