Atharv Gyan

Generative AI is revolutionizing software development by introducing tools and systems that assist developers at various stages of the software lifecycle. Tools like ChatGPT and GitHub Copilot are at the forefront of this transformation, making software engineering more efficient, accessible, and innovative. Key Areas of Impact Code Generation Generative AI tools help developers write code faster by generating entire blocks of code from simple prompts. Example: A developer can ask GitHub Copilot to "write a function to sort an array using QuickSort" and receive an optimized code snippet almost instantly. This reduces boilerplate coding, allowing developers to focus on solving higher-level problems. Debugging and Error Resolution AI tools analyze code for errors and provide real-time suggestions for fixes. ChatGPT's Role: Developers can describe their issue to ChatGPT, which offers explanations for bugs and even recommends solutions. This is particularly useful for under...

Cloud computing is a technology that allows users to access and use computing resources (such as servers, storage, databases, networking, software, analytics, and intelligence) over the internet, often referred to as "the cloud." There are three primary types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Let's delve into each type with examples: Infrastructure as a Service (IaaS): Definition: IaaS provides virtualized computing resources over the internet. It allows users to rent virtual machines, storage, and networking infrastructure on a pay-as-you-go basis. Users have control over the operating system, applications, and networking components. Examples: Amazon Web Services (AWS): Amazon EC2 (Elastic Compute Cloud) offers resizable compute capacity in the cloud, allowing users to run virtual servers. Microsoft Azure: Azure Virtual Machines provide scalable computing resources with supp...