Tag: Prompt Engineering

Loop Engineering: The Next Evolution Beyond Prompt Engineering

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Prompt Engineering Was Just the Beginning Over the past two years, the AI industry has been obsessed with Prompt Engineering—learning how to ask Large Language Models (LLMs) the right questions to get the best answers. But as AI systems become more capable, something much bigger is happening. The industry is shifting from writing prompts to designing intelligent systems. This new approach is called Loop Engineering. Instead of humans constantly guiding AI with carefully crafted prompts, developers are now building systems where AI continuously plans, executes, validates, learns, and retries until the objective is achieved. The prompt is no longer the… Read more


How Large Language Models (LLMs) Work:

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A Data Engineer’s Guide to Understanding Large Language Models If you’ve ever typed a prompt into ChatGPT, Claude, or Gemini and wondered, “How does this thing actually work?” — you’re not alone. Large Language Models (LLMs) are the most talked-about technology in recent years. Yet what happens under the hood remains unclear to many engineers. In this article, we’ll break down how LLMs work — from architecture to training to inference — so you understand not just what they do, but how and why they do it. 1. What Is an LLM, Really? At its core, a Large Language Model… Read more


What is MCP? A Simple Guide for Developers

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If you’ve been anywhere near the AI developer world lately, you’ve probably seen three letters popping up everywhere: MCP. Maybe you saw it in a tweet. Maybe your coworker mentioned it. Maybe you saw it in some tool’s changelog. By the end of this post, you’ll understand what MCP is, why it exists, and why it actually matters to you as a developer. Just the stuff you need to know. Key idea: MCP standardizes how AI applications connect to tools and data — it solves integration, not intelligence. So… What Actually Is MCP? MCP stands for Model Context Protocol. It’s… Read more