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ProgrammingDEV Community ·

MCP is finally here: stop building REST boilerplate and start shipping

TL;DR: BugiaData MCP is live. Point Cursor, Claude, or Windsurf at a hosted SSE server, paste one config block, and ask your agent for relational fake data with valid foreign keys—no custom REST glue in your repo. If you build with AI agents, you already know the loop: You need realistic test data. You wire up an HTTP client, auth headers, error handling, and JSON parsing. You repeat that for every new tool, every new environment, every new IDE.

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ProgrammingDEV Community ·

DESIGN.md Anatomy: How Tokens and Prose Work Together

A DESIGN.md has two parts: YAML front matter with machine-readable design tokens, and a markdown body with human-readable rationale. Tokens give an agent exact values; prose gives it the rules. Pairing them is the format's core insight. The front matter holds your colors, typography, spacing, rounded corners and components as typed values. It opens and closes with three dashes: --- colors: primary: "#1A1C1E" surface: "#FFFFFF" spacing: sm: 8px md: 16px --- This gives the agent precise values to use directly.

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ProgrammingDEV Community ·

The DESIGN.md CLI: lint, diff, export and spec

The DESIGN.md CLI has four commands, run through npx with no install: lint, diff, export and spec. Together they turn the file from a passive document into something you can validate, compare and convert. $ npx @google/design.md lint DESIGN.md $ npx @google/design.md lint --format json DESIGN.md Lint catches broken token references, flags a missing primary color, and verifies WCAG contrast. It returns structured JSON and exits non-zero on errors, so it works in CI: { "findings": [{ "severity": "warning", "path": "components.button-primary", "message": "contrast 15.42:1 - passes WCAG AA" }], "s

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ProgrammingDEV Community ·

DESIGN.md, CLAUDE.md, AGENTS.md: The Agent-Context File Family

DESIGN.md, CLAUDE.md and AGENTS.md are plain-text, repo-resident files that give AI coding agents persistent context. CLAUDE.md and AGENTS.md cover code and conventions; DESIGN.md covers the visual identity. Complementary layers an agent reads on every interaction. CLAUDE.md / AGENTS.md -> code & project context (stack, conventions, commands) SKILL.md -> on-demand capabilities DESIGN.md -> the design system (tokens + rationale) Each handles a different concern, and they do not overlap. Separation keeps each focused and lets you adopt them independently.

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ProgrammingDEV Community ·

Sizing a Mac mini M4 for Local AI: An Architect's Breakdown by Task

Every few weeks someone asks me the same question: "Should I buy a Mac mini M4 to run AI locally?" And every time, my answer is the same - that's the wrong question to lead with. The right question is: which task, at what quality, on how much memory? Hardware is the last decision, not the first. I've been chasing the same goal a lot of practitioners have: becoming self-sufficient on local AI so I'm less dependent on cloud LLM subscriptions, without sacrificing output quality. My current Windows machine has no usable GPU, which makes tools like Ollama and LM Studio frustrating at best.

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ProgrammingDEV Community ·

How LLMs Decide Which Ecommerce Brands to Recommend, and What Shopify Stores Need to Do About It

There's a new buyer journey nobody's optimizing for yet. How LLMs build their brand knowledge SEO: get your page ranked for a query For Shopify stores, this distinction has direct technical implications. The technical signals that build LLM visibility Structured data as entity declaration JSON-LD schema on your Shopify store isn't just for rich snippets anymore. It's how you declare your entity to crawlers that feed training pipelines and retrieval systems. The same as array is doing heavy lifting here.

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ProgrammingDEV Community ·

How I built a simple AI router to avoid vendor lock-in and costs

I've been working on a side project that needs AI for a few different tasks: answering user questions, generating image captions, and summarizing chat threads. At first, I just picked one provider (OpenAI) and called it a day. But after a month, two things became painfully clear: first, not every model is great at every task, and second, the bill was climbing fast because I was using GPT-4 for everything. So I did what any reasonable developer would do: I started swapping API keys by hand. I'd comment out one import and uncomment another, deploy, test, get frustrated, rinse and repeat.

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ProgrammingDEV Community ·

Leveling Up Observability: SLO Rollup and Grafana Dashboards in Hermes-Memory-Installer

Hermes-Memory-Installer just shipped a feature that changes how we think about memory management at scale: native SLO rollup and preconfigured Grafana dashboards. If you’re already running the installer in production, you know the pain of stitching together memory metrics, application health, and capacity alerts into a single view. This update eliminates that friction by giving you both the aggregated compliance data and the visualization layer out of the box. For experienced developers running memory-intensive workloads—whether in Kubernetes, bare metal, or hybrid environments—this is the obs

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ProgrammingDEV Community ·

Airflow vs n8n vs Temporal for API workflow orchestration

What You'll Need n8n Cloud or self-hosted n8n Hetzner VPS or Contabo VPS for hosting Namecheap if domain needed DigitalOcean as alternative Docker (for self-hosting Airflow or Temporal) Python 3.9+ (for Airflow development) PostgreSQL (for state management) Why Orchestration Matters Apache Airflow Deep Dive n8n for Visual API Workflows Temporal for Fault-Tolerant Systems Head-to-Head Comparison Which Tool Wins for Your Use Case Getting Started I've spent the last three years building production workflows across multiple platforms, and I can tell you this: choosing the wrong orchestration tool

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ProgrammingDEV Community ·

UK Healthcare AI Is Running Wild — And The Industry Wants It Fixed

The UK wants to build the "most AI-enabled healthcare system in the world." That ambition is noble. The problem is that the regulations meant to keep that AI safe and effective are, by the industry's own assessment, fundamentally broken. A new report from the MHRA's National Commission on the Regulation of AI in Healthcare — based on responses from 761 stakeholders including NHS bodies, industry, academia, and patient groups — delivers a damning verdict on the current framework. Seven in ten respondents disagreed or strongly disagreed that existing regulations are sufficient on safety and perf

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ProgrammingDEV Community ·

AI Table Generator Features Worth Actually Using

If you search for an AI table generator, you will find a lot of tools The features worth caring about in a table builder are less about AI Column types are the first thing to look for. A tool that treats every Export quality is the second thing. A PDF export that looks like a Smart paste is the third thing most people discover late. If you have I built Tablesmit with all of this in mind. It is free, open source, Try it at tablesmit.com.

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ProgrammingDEV Community ·

Creating Ebooks

制作没有数字痕迹的电子书 手工制作的目录 输入 掌握Markdown的基本语法 撰写素材文档 校对素材文档 制作封面图片和插图 安装Calibre 自动生成的目录 章节分页符 相对固定的输出格式 把素材文档导入书库 编辑元数据 生成书籍并另存为 EPUB DOCX PDF 清理 Markdown是通用、健壮、易学易读易写、便于移植的轻量级标记语言，教程见Markdown Guide和Daring Fireball。主要语法列举如下： 用至少一个空白行分隔不同段落（包括标题）。 正常段落没有必要缩进（即空两格），需要时每4个空格（ ）或1个制表符（TAB）可缩进一级。 # 一级标题 ## 二级标题 ### 三级标题 #### 四级标题 **粗体** *斜体* ***粗体和斜体*** 1. 有序列表第一项 1. 有序列表第二项 1. 有序列表第三项 - 无序列表第一项 * 无序列表第二项 + 无序列表第三项 ```段落之间的等宽字体代码块``` ``段落内部嵌入的等宽字体代码`` > 引用的第一个段落 > > 引用的第二个段落 >> 嵌套引用的段落 段落之间的多行引用块 [外部超链接显示名](外部超链接地址) [外部超链接显示名](外部超链接地址 "鼠标悬停在链接上时显示的文字提示") ![图片无法加载时显示的文字描述](图片路径) ![图片无法加载时显示的文字描述](图片路径 "鼠标

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ProgrammingDEV Community ·

Forced full-screen on Gnome

Small improvements to desktop environment make small improvements in productivity, and they compound. Today I found that I can force any app (not only the app with special support for it) to run in a fullscreen mode under Gnome. gsettings \ set org.gnome.desktop.wm.keybindings \ toggle-fullscreen "[' f']" Super-F, and ANY application is full-screen.

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ProgrammingDEV Community ·

Hunting Digital Chameleons: How We Defeated Botnets in Laravel v2.4.0

In the world of web traffic, there’s a simple rule: if it looks like a regular user, walks like a user, and even brings its favorite cookies along—it doesn't always mean there’s a human on the other side. Sometimes, it’s just a very diligent bot that happened to read the User-Agent documentation yesterday. In this article, we’ll share how our traffic analysis tool evolved from naive trust in headers to a paranoid level of verification, and how that led to a "spring cleaning" of our architecture. (For more on the project's first deep refactoring, read our article: Refactoring Laravel Visit Anal

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ProgrammingDEV Community ·

Are USB Devices a Security Risk for Your PC?

The attack that shouldn't be possible — but is Picture a $283 soundbar sitting on a desk, plugged into a PC via USB, playing music. To every security tool watching that machine, the speaker is a trusted, known device — essentially invisible. To an attacker sitting in the parking lot outside, it's an open door. That is the reality of a vulnerability discovered in Creative Technologies' Sound Blaster Katana V2X. Researcher Rasmus Moorats found the flaw after purchasing the soundbar himself.

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ProgrammingDEV Community ·

Transmit 5's $45 One-Time Price Beats Subscription Fatigue

The subscription fatigue context no one is talking about Most reviews of Transmit 5 lead with the speed numbers — and a 16x faster transfer rate over standard file movers is genuinely impressive. But speed benchmarks miss the more significant story: Panic's decision to sell Transmit as a $45 one-time purchase lands at a moment when Mac professionals are actively questioning how much recurring software cost they can absorb. The subscription model has become the default assumption in professional software. Adobe Creative Cloud, Setapp, Microsoft 365, cloud storage across S3, Backblaze B2, Google

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ProgrammingDEV Community ·

Building a Multi-Mode Valve Test Rig: Software Architecture for Hydraulic and Pneumatic Test Programmes

A general-purpose valve test rig serving multiple valve types needs a test programme abstraction layer that separates the test logic from the specific hardware interfaces. Here's an architecture pattern for that. At the core of the design is a shared test programme interface that every test type must implement. This base interface defines two required behaviours: a method that runs the actual test sequence against the hardware, and a method that interprets the resulting data against specification limits to determine a pass or fail outcome. Keeping these two responsibilities separate, rather th

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ProgrammingDEV Community ·

I Built an ASCII-to-Text Converter Because I Kept Seeing Numbers Instead of Words

The First Time I Saw ASCII Codes I was looking at a piece of data that looked like this: 72 101 108 108 111 44 32 87 111 114 108 100 33 My first thought was: "What am I supposed to do with this?" It looked like a random list of numbers. But it wasn't random at all. One click later, it became: Hello, World! That was my "aha" moment. Computers weren't storing random numbers...

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