All Articles

  • Taxonomy of Workflow Automation

    A workflow comprises the interdependent processes and people required to reach a result that no single participant can achieve alone [1]. Here is the taxonomy of workflow automation methods, incorporating Agentic Automation as a key evolutionary step. The classification of workflow automation has evolved from simple task-based scripts to autonomous systems capable of reasoning. This…

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    Figure of Merit (FoM) in Semiconductor Foundry

    In the semiconductor foundry industry, a Figure of Merit (FoM) is a standardized numerical value used to quantify the performance and efficiency of a manufacturing process or a specific device [1]. These metrics allow foundries and chip designers to determine if a new technology node—such as the transition from 5nm to 3nm—provides enough improvement to…

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    AI Prompt Framework

    An AI prompt framework is a structured mental model or “recipe“ used to craft instructions that help Large Language Models (LLMs) like Gemini, ChatGPT, or Claude produce more accurate, relevant, and useful results. Think of it like giving a chef a recipe rather than just saying, “Make me food.” The Ultimate Framework Library Here is…

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    Modular Prompt Engineering

    Modular Prompt Engineering is the practice of treating prompts like software code. Instead of writing one “monolithic” prompt that contains the persona, instructions, and examples in a single massive block, you break them down into smaller, reusable modules. Think of it as Object-Oriented Programming (OOP) for Natural Language. 1. Why Modularize? Standard prompts often “break”…

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    Popular software tools for systematic AI prompt

    Building a systematic AI prompt framework—like the one you’ve structured in your Markdown document—often requires more than just a text editor. To manage versioning, testing, and deployment of these “Prompt Assets,” professional prompt engineers use specialized software tools. Here are the most popular software tools for systematic AI prompt engineering and management. 1. Prompt Management…

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    Microservices in Semiconductor Fabrication

    In the high-precision world of semiconductor fabrication, the shift from monolithic legacy systems to microservice architecture is driven by the need for extreme scalability and real-time data processing. In smart manufacturing (Industry 4.0), microservices break down complex factory functions—like wafer tracking, predictive maintenance, and yield analysis—into independent, modular services. Overview of Microservices in Fab Automation…

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    Coding Skills by Human–AI Contribution

    In 2026, the landscape of software engineering has shifted from “writing code” to “orchestrating intelligence.” The following list sorts these coding skills from the highest human involvement to the highest AI autonomy, along with the tools currently defining each category. Coding skills are ordered by decreasing human involvement, as show below. 1. Human-Centric (Human:AI=90:10) 2….

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    PDF.js in WordPress

    A general-purpose, web standards-based platform for parsing and rendering PDFs. PDF.js를 사용하여 bbPress 포럼에 PDF를 임베드하고, 인쇄 및 다운로드 버튼을 제거하는 방법은 가장 강력한 제어권을 제공합니다. 이 방법은 PDF를 브라우저 내에서 직접 렌더링하며, UI 요소를 코드로 제어할 수 있습니다. 가장 효율적인 구현 방법은 별도의 뷰어 페이지를 만들고 bbPress 게시글 내에서 iframe으로 불러오는 방식입니다. 1단계: PDF.js…

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    MCP (Model Context Protocol) Connection Methods to AI Agent

    Modern AI Applications are not just standalone programs; they act as Orchestrators that bridge the gap between AI models (like Gemini) and the digital tools we use daily. The following classification breaks down the connection methods based on their role in the system architecture. 🏗️ Classification of Connection Methods Category Mechanism Reasoning Suitability Benefits 1….

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    AI Model Vs AI Agent Vs Model Context Protocol (MCP)

    The relationship between AI models, AI agents, and the Model Context Protocol (MCP) is defined by their distinct roles in a hierarchy of intelligence, execution, and connectivity. The Relation Between Components To understand how they interact, it is helpful to categorize them by their function: Gemini on the Web: Model or Agent? When you access…

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    What is Vibe Coding?

    Vibe coding is a software development methodology where developers—and non-developers—build applications by describing their goals in natural language to AI agents rather than writing code line-by-line [1]. The term was popularized by AI researcher Andrej Karpathy in February 2025 to describe a workflow where the human “fully gives in to the vibes” and “forgets that…