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The Model Context Protocol (MCP) is an open standard designed to help AI systems maintain context throughout a conversation. It provides a consistent way for AI applications to manage context, making it easier to build reliable AI systems with persistent memory. In this blog, I will show you how to build MCP server from the […]
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Have you ever wished you could manage your Kubernetes clusters more easily without switching between multiple tools and terminals? Imagine managing K8s clusters using simple natural language commands instead of memorizing dozens of kubectl incantations. Well, the wait is over. Docker’s Model Context Protocol (MCP) Toolkit is revolutionizing how we interact with Kubernetes, bringing AI-powered […]
Let’s face it—search isn’t what it used to be. It’s not just about how people find information, but who (or what) is doing the searching. Think about it. Users aren’t just typing into search bars anymore. They’re having conversations with voice assistants, chatting with AI copilots, and letting embedded agents help them make decisions on […]
In the rapidly evolving landscape of AI technology, a significant development recently emerged that might have flown under your radar. On April 26, 2025, a new authorization specification for Model Context Protocol (MCP) was published, developed through collaboration between Anthropic and various industry partners. What is MCP and Why Does This Matter? The Model Context […]
Model Context Protocol (MCP) represents a significant advancement in connecting AI models with the external world. As large language models (LLMs) like Claude and GPT continue to evolve, their isolation from real-world data sources and tools has become an increasingly limiting factor. MCP addresses this challenge by providing a standardized way for AI systems to […]
Have you ever wished you could build smart AI agents without shipping your data to third-party servers? What if I told you you can run powerful language models like Llama3 directly on your machine while building sophisticated AI agent systems? Let’s roll up our sleeves and create a self-contained AI development environment using Ollama and […]
Ever tried building a GenAI application and hit a wall? 🧱 I know I have. You start with excitement about implementing that cool chatbot or content generator, but then reality hits. You’re either sending sensitive data to third-party APIs with usage limits and costs that quickly add up 💸, or you’re wrestling with complex local […]
Imagine you’ve built a slick AI workflow with CrewAI—say, a team of agents that scrape job postings, craft tailored CVs, and email applications on your behalf. It works beautifully on your local machine, but then reality hits: you want to run this for dozens of job postings daily, across multiple users, without your laptop turning […]
Terraform is an open-source Infrastructure as Code (IaC) tool from HashiCorp that allows you to define and provision infrastructure using configuration files, enabling automation and management of resources across various cloud providers and on-premises environments.Just for you to be updated,FYI, IBM acquired HashiCorp, the creator of Terraform, in a deal valued at $6.4 billion, which […]
The Tesla Model 3 is a battery electric powered mid-size sedan with a fastback body style built by Tesla, Inc., introduced in 2017. The vehicle is marketed as being more affordable to more people than previous models made by Tesla. The Model 3 was the world’s top-selling plug-in electric car for three years, from 2018 […]
