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AI and the Job Market: Disruption or Correction Before the Next Boom?

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The rapid rise of artificial intelligence has sparked heated debates about its impact on employment. Some argue that AI is wiping out jobs, while others suggest we’re witnessing a market correction that could set the stage for the next economic boom. Let’s break down the evidence and trends shaping this narrative. AI’s Dual Impact: Displacement and Creation AI and automation are certainly replacing some roles, especially those involving repetitive or predictable tasks in sectors like manufacturing and administration. However, history shows that technological revolutions often create as many jobs as they eliminate—just in different forms. AI is already generating demand for new roles such as data scientists, AI trainers, and machine learning engineers. Projections suggest up to 97 million new jobs could be created by 2025, particularly in tech-driven sectors. Market Correction, Not Collapse The current job market turbulence may reflect a transitional phase rather than a permanent declin...
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MCP vs APIs: Modes of communications with in AI systems

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The rapid evolution of artificial intelligence (AI) has introduced new frameworks for connecting intelligent systems to external tools and data. Two critical technologies in this space are the Model Context Protocol (MCP) and Application Programming Interfaces (APIs) . While both facilitate communication between software components, they serve distinct roles in modern AI ecosystems. Foundations of APIs and MCP What Are APIs? Application Programming Interfaces (APIs) are standardized protocols that enable software systems to communicate. They define how applications can request services from one another, abstracting the underlying complexity of the systems they connect. For example, a weather app uses a weather service’s API to fetch real-time data without understanding the server’s internal workings  2 7 . APIs operate on a client-server model : The client (e.g., a mobile app) sends a request (e.g., "Get today’s temperature"). The server (e.g., a weather databa...
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Redefining the Software Development Lifecycle Through Vibe Coding in the AI Age

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  Redefined SDLC As we approach the middle of 2025, the software development landscape has undergone a dramatic transformation with the emergence of vibe coding as a revolutionary approach to creating software. This paradigm shift is fundamentally redefining the traditional Software Development Life Cycle (SDLC) as we know it. In this blog post, we'll explore how vibe coding-a term coined just months ago-is reshaping software development processes, the challenges it presents, and how organizations can adapt to this new reality. The Rise of Vibe Coding in Software Development Vibe coding, a term introduced by Andrej Karpathy in February 2025, refers to an approach where software is produced by depending on artificial intelligence, specifically large language models tuned for coding 6 . Instead of writing code manually, developers describe their vision in natural language, and AI generates the corresponding software. This shifts the programmer's role from manual coding to gui...
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