Tech Blog

Vibe coding is an emerging approach in software development where developers utilize artificial intelligence (AI) tools to generate code through natural language prompts. Coined by computer scientist Andrej Karpathy in February 2025, the term describes a method that shifts the programmer's role from manual coding to guiding, testing, and refining AI-generated code.  In traditional programming, developers write code line by line, meticulously crafting algorithms and debugging errors. Vibe coding, however, leverages large language models (LLMs) to interpret human instructions and produce functional code snippets. This approach allows individuals, even those with limited technical backgrounds, to create software by simply describing their desired outcomes in plain language.  How Vibe Coding Works: Prompting the AI: The developer provides a clear, concise description of the desired functionality. Code Generation: The AI processes the prompt and generates corresponding co...

 What is CAP Theorem in System Design? In the world of distributed systems , where data is spread across multiple computers, we often face a big challenge: how to ensure that the system works efficiently while maintaining data consistency. This is where the CAP theorem comes into play. CAP theorem, proposed by Eric Brewer in 2000, states that in any distributed system, we can only achieve two out of three guarantees: Consistency (C), Availability (A), and Partition Tolerance (P). Let’s break it down in simple terms with real-world examples. Understanding CAP Theorem The CAP theorem suggests that any distributed system can only satisfy two out of these three properties at the same time: Consistency (C): Every request receives the most recent data or an error if the data is not available. Availability (A): Every request gets a response, even if some nodes in the system fail. Partition Tolerance (P): The system continues to function even if network communication betwee...

What is Database Sharding?  In today’s world, millions of users interact with online applications simultaneously. Social media, e-commerce websites, and banking systems process vast amounts of data in real time. But how do these platforms ensure speed and efficiency without slowing down? One of the key techniques used to manage large-scale databases efficiently is Database Sharding . Let’s explore what sharding is, why it’s important, and how it works—with easy-to-understand examples and visualizations! 1. What is Database Sharding? Sharding is a database architecture pattern that breaks a large database into smaller, faster, and more manageable parts called shards . Each shard is an independent database that contains a subset of the data. Instead of storing all data in a single large database, sharding distributes it across multiple databases. This helps improve performance, scalability, and reliability . 2. Why is Sharding Needed? Imagine you own an online clothing stor...

 What is Caching? A Beginner's Guide Introduction Have you ever noticed how a website loads faster the second time you visit it? Or how your favorite mobile app feels snappier after you've used it a few times? This magic happens because of caching ! Caching is a technique used in computing to temporarily store frequently accessed data so that future requests for the same data can be served faster. In this blog, we will explore: What caching is Why caching is important Real-world examples of caching Types of caching Advantages of caching When not to use caching What is Caching? Caching is the process of storing copies of frequently accessed data in a temporary storage location (cache) to reduce the time required to fetch it again. Instead of retrieving data from a slower source like a database or an external API, a system retrieves it from the cache, which is much faster. Real-World Analogy: Imagine you're a student preparing for an exam. The first time you ...

Scaling in System Design: A Beginner’s Guide When designing a software system, one of the most important things to consider is scalability —the ability of the system to handle increased load efficiently. Whether you are building a social media app, an e-commerce platform, or a cloud-based SaaS product, scalability ensures your system can grow smoothly as the number of users and transactions increases. In this blog, we’ll explore: ✅ What is Scaling? ✅ Types of Scaling ✅ Key Factors for Scalability 🔹 What is Scaling? Imagine you own a small café with 10 seats. As your business grows, more people start coming in, and the café becomes overcrowded. To handle the increased demand, you have two options: 1️⃣ Add more tables and chairs inside the same café 2️⃣ Open another café at a different location This is exactly how system scaling works! 🔹 Types of Scaling There are two main ways to scale a system: 1️⃣ Vertical Scaling (Scaling Up) Definition: Increasing the power (CPU, RAM, Storage) o...

  What is Serverless Architecture? Serverless architecture is a cloud-computing execution model where cloud service providers manage the infrastructure and resources required to run code. Despite the name "serverless," servers are still involved. However, the responsibility of provisioning, managing, and scaling servers is entirely handled by the cloud provider. This allows developers to focus purely on writing code and building applications, without worrying about the underlying infrastructure. In a traditional server-based architecture, businesses must set up physical or virtual machines, configure servers, monitor their health, and scale up or down depending on traffic. With serverless, these concerns are abstracted away. How Does Serverless Architecture Work? Serverless computing primarily relies on "Functions as a Service" (FaaS) platforms, such as AWS Lambda, Azure Functions, and Google Cloud Functions. Here's a simplified breakdown of how it works: Event-...