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This is not another of those ‘AI is killing jobs’ reports. Anthropic, in a new research, seems to have asked the deeper questions this time. Its latest labour-market study asks what happens when we stop guessing which jobs AI could affect. What if we, instead, start measuring where it is actually showing up inside real work? And for the same reason, Anthropic seems to have introduced a completely new metric to measure AI job impact. What I talk about is a new labour-market paper that Anthropic has come up with on March 5, 2026. Titled “Labour market impacts of AI”,…

Image by Author   # Introduction  If you are reading this article, you likely know a bit of Python, and you are curious about data science. You might have written a few loops, maybe even used a library like Pandas. But now you face a common problem. The field of data science is vast, and knowing where to start and, more importantly, what to ignore can feel exhausting. This tutorial is written for someone exactly like you. It goes through the noise and provides a clear, structured path to follow. The goal of data science, at its core, is to extract…

Tools like ChatGPT, Gemini, and Claude pushed AI into everyday conversations. Suddenly everyone was talking about AI and a newer term that appeared alongside it: Generative AI. The two are often used interchangeably, but they aren’t the same thing. Generative AI isn’t a replacement for AI. It’s a part of it. To understand the difference, we first need to look at what AI is, what it was originally built to do and generative AI extends those capabilities. What is AI? Artificial Intelligence is a domain that refers to computer systems designed to perform tasks that normally require human intelligence. These…

Image by Author   # Introduction  AI agents help build autonomous systems that can plan, use tools, and collaborate to solve complex problems. But building reliable multi-agent systems requires the right orchestration framework. As an AI engineer working with agents, you need frameworks that handle the complexity of agent coordination, tool usage, and task delegation. In this article, we’ll explore frameworks that work well for: Orchestrating multiple specialized agents Managing complex workflows and task delegation Integrating tools and external services Handling agent communication and collaboration Building production-ready agentic systems Let’s explore each framework.   # 1. LangGraph  LangGraph, built by the LangChain…

Do you also think ChatGPT is useless? If not, you must’ve come across someone who does. People who say “I didn’t find it useful”, or “it couldn’t do what I told it to”, or the classic “AI is senseless“. While such people think the tool is weak, the fact is that they fail because their inputs are a mess. They type into it the way they send half-baked WhatsApp texts: vague, context-free, and somehow expecting magic in return. “Write this.” “Improve that.” “Give ideas.” Then, five minutes later, comes the verdict: ChatGPT workflows are overrated. Want to fix that? The…

Image by Author   # Introduction   Before we start anything, I want you to watch this video: Your browser does not support the video tag.F   Isn’t this amazing? I mean you can now run a full local model that you can talk to on your own machine and it works out of the box. It feels like talking to a real person because the system can listen and speak at the same time, just like a natural conversation. This is not the usual “you speak then it waits then it replies” pattern. PersonaPlex is a real-time speech-to-speech conversational AI that…

MongoDB is a widely used NoSQL database that stores data in flexible documents similar to JSON objects rather than traditional tables and rows. This document-based structure makes it easier to handle complex or frequently changing data, which is why MongoDB is commonly used in modern web applications, analytics platforms, and large-scale data systems. Developers can interact with MongoDB using command line tools like the MongoDB shell, but many users prefer a graphical interface for managing and exploring data. MongoDB Compass was created for this purpose, providing a visual way to work with databases and documents. In this article, we explore…

Image by Author   # Introduction  We all know that understanding a new codebase is just plain hard. You’re opening file after file, reading through comments that don’t make much sense, and trying to figure out how different parts connect. It doesn’t matter if you’re in research or working at a company; it’s the same struggle. But AI tools are making this way easier. They can map out how the code works, give you quick summaries, and answer questions like a coworker would. It’s much faster than doing everything by hand. Let’s look at five such tools that really help.  …

Claude Flow is an open-source orchestration framework designed to run multiple Claude agents in coordinated workflows. Instead of relying on a single LLM prompt chain, it allows developers to build systems where specialized agents collaborate, share memory, and divide complex tasks into manageable steps. Teams building AI automation, agentic systems, or advanced developer tools can use Claude Flow to structure these multi-agent pipelines more effectively. In this article, we explain what Claude Flow is, how it works, and how you can start using it with practical examples. What is Claude Flow? Claude Flow functions as a multi-agent orchestration system which…

Image by Author   # Introduction   BitNet b1.58, developed by Microsoft researchers, is a native low-bit language model. It is trained from scratch using ternary weights with values of \(-1\), \(0\), and \(+1\). Instead of shrinking a large pretrained model, BitNet is designed from the beginning to run efficiently at very low precision. This reduces memory usage and compute requirements while still keeping strong performance. There is one important detail. If you load BitNet using the standard Transformers library, you will not automatically get the speed and efficiency benefits. To fully benefit from its design, you need to use the…