标签：#Java

When most people think about Java, they immediately picture enterprise applications, banking systems, massive backend services, or decades-old corporate software. While Java has earned its reputation in the enterprise world, that is only part of the story. Today, Java can run on devices as small as a Raspberry Pi, opening the door to hardware projects, edge computing, home automation, education, and hands-on learning experiences. Combining Java with Raspberry Pi creates a powerful platform for experimentation, learning, and building real-world solutions that go far beyond traditional enterprise development. Raspberry Pi teaches us about hardware. Java allows us to apply professional software engineering practices to that hardware. Together, they create a powerful platform for learning, prototyping, and building real-world IoT and edge computing solutions. Java Is More Than Enterprise Software Java's enterprise success has sometimes created the misconception that it only belongs in large organizations. In reality, modern Java offers: Excellent support for Linux and ARM architectures. High performance and low resource consumption. Modern frameworks such as Spring Boot, Quarkus, and Micronaut. Strong support for IoT and edge computing. Access to hardware through mature libraries. One of the largest developer ecosystems in the world. The Raspberry Pi highlights a different side of Java—one focused on creativity, experimentation, and direct interaction with the physical world. Instead of building another web application, you can build systems that sense, react, and interact with their environment. Java at the Edge One of the most exciting technology trends today is Edge Computing. Traditionally, devices send data to cloud services where processing and decision-making occur. Edge computing shifts part of that processing closer to where the data is generated. A Raspberry Pi running Java can: Process sensor data locally. Apply business rules before sending information to th

GitHub热门项目 | draw.io is a JavaScript, client-side editor for general diagramming. | Stars: 5,755 | 164 stars this week | 语言: JavaScript

GitHub热门项目 | Stealth headless browser for AI agents — bypass Cloudflare, bot detection, and anti-scraping. Drop-in Puppeteer/Playwright replacement. | Stars: 6,199 | 103 stars today | 语言: JavaScript

GitHub热门项目 | 🎬 seedance2接入 开源本地 AI 短剧 & 漫剧生成工具 —— 从故事到成片一站式完成，数据不出本机，短剧工作流管理平台，高灵活度，AI真人剧，AI漫剧本地搞定。 Open-source local AI short drama maker: story → storyboard → video, fully offline, your data stays yours. 纳米流水线 | Stars: 512 | 18 stars today | 语言: JavaScript

GitHub热门项目 | Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits. | Stars: 15,880 | 287 stars today | 语言: JavaScript

GitHub热门项目 | ❤️ Fredy - [F]ind [R]eal [E]state [D]amn Eas[y] - Fredy keeps searching for new apartments, houses, and flats in Germany on platforms like ImmoScout24, Immowelt, Immonet, eBay Kleinanzeigen, and WG-Gesucht and instantly delivers the results to you via Slack, Telegram, Email, Discord or ntfy, so you can focus on the more important things in life ;) | Stars: 1,038 | 41 stars today | 语言: JavaScript

Keyboard accessibility is one of the most important — and most neglected — aspects of web accessibility. An estimated 2.5 million Americans have motor disabilities that prevent mouse use. If your site can't be operated entirely by keyboard, you're excluding them completely. The Four Core Principles WCAG 2.2 Principle 2 (Operable) contains the keyboard requirements: 2.1.1 Keyboard (AA): All functionality must be operable via keyboard 2.1.2 No Keyboard Trap (AA): If focus moves into a component, it must be possible to move it out 2.4.3 Focus Order (AA): If page can be navigated sequentially, order must be logical and predictable 2.4.7 Focus Visible (AA): Any keyboard-operable UI must have a visible focus indicator 2.4.11 Focus Appearance (AA, new in 2.2): Focus indicator must meet size and contrast requirements Testing Without Automated Tools Start with the basic keyboard test: Unplug (or ignore) your mouse Press Tab to move forward through interactive elements Press Shift+Tab to move backward Use Enter/Space to activate buttons, links, checkboxes Use arrow keys for radio groups, menus, sliders Use Escape to close dialogs and menus Any element you can't reach or activate? That's a WCAG 2.1.1 failure. The Most Common Keyboard Failures Custom dropdowns and menus // ❌ Keyboard inaccessible function Dropdown ({ items }) { return ( < div onClick = { toggle } className = "dropdown" > { items . map ( item => ( < div onClick = { () => select ( item ) } > { item . label } </ div > )) } </ div > ); } // ✅ Fully keyboard accessible function Dropdown ({ items }) { return ( < div role = "combobox" aria-haspopup = "listbox" aria-expanded = { isOpen } tabIndex = { 0 } onKeyDown = { handleKeyDown } // handles Enter, Space, Arrows, Escape className = "dropdown" > < ul role = "listbox" > { items . map (( item , i ) => ( < li key = { item . id } role = "option" tabIndex = { - 1 } aria-selected = { i === activeIndex } onKeyDown = { e => e . key === ' Enter ' && select ( item ) } > { item

The problem Every time I started a session with Claude Code I had to re-explain my entire project. What framework I use. How my folders are structured. What naming conventions I follow. What decisions I have already made. Every. Single. Session. It was slowing me down and I knew there had to be a better way. What I built I built stackbrief. One command scans your repo and opens a local visual dashboard showing your full codebase intelligence. npx stackbrief scan It opens a dashboard at localhost:3000 showing: Interactive code map of your architecture Dependency version comparison against npm Convention detection (naming, async patterns, error handling) Context health score MCP server so Claude Code pulls context automatically How it works stackbrief reads every file in your project and builds a structured understanding of it. It detects your framework, architecture pattern, modules, dependencies, and coding conventions. It then writes a CLAUDE.md file to your project and starts an MCP server on port 3001. Claude Code picks this up automatically before every session. No more explaining your project from scratch. AI chat that actually knows your code The dashboard has an Ask your codebase section. Unlike generic AI chat, this assistant has read every file in your project. Ask it about your own architecture and get answers specific to your code. Works with Ollama (free, fully local), Claude, OpenAI, or any OpenAI-compatible provider including Groq, Mistral, and local runners like LM Studio and AnythingLLM. Zero config, fully local No cloud. No telemetry. No account required. Everything runs on your machine. npx stackbrief scan That is it. The dashboard opens automatically. Try it GitHub: https://github.com/ragavtech/stackbrief Built with Node.js and TypeScript. Open source, MIT license. Would love to hear what you think.

A linked list is an ordered linear data structure where elements are not stored in sequential memory locations, instead they are stored in nodes that are linked together by a pointers. Linked list are used in data intensive application because linked list offer specific benefits for high frequency data manipulation, this benefits include: Efficient insertion and deletion Adding and removing elements from a linked list is highly efficient, unlike arrays which requires shifting all subsequent elements to maintain indexing. A linked list only requires updating the pointer. Dynamic sizing: linked list can grow or shrink during runtime without needing to pre-allocate memory. Memory management: Nodes in a linked list are only allocated when needed which prevents memory wastage. Flexible Traversal: Doubly and circular list allow you to move forward or backward, which makes them helpful for complex navigation The first node in a linked list is called the head which signifies the start of the list, while the last node is called the tail and has a pointer of null except in a circular linked list. Each node in a linked list has two things which are: the actual data the pointer or reference There are three main types of linked list: Singly linked list Doubly linked list Circular linked list Singly Linked List: Singly linked list are lists where each node has a next pointer that points to the next node. Doubly Linked List: Doubly linked list are list where each node has a next and previous pointer that points to the previous and next node. Circular Linked List: Circular linked list are list where the last node points back to the first node, forming a circle. Table of Contents create node class create linked list class isEmpty and getSize Methods prepend and append Method removeHead and removeTail Methods insert and search Methods getIndex and removeIndex Methods clear and print Methods create node class First let's open our code editor and create a new file called singlyLinkedLi

There's been no shortage of debate lately about whether grinding Leetcode still makes sense in the age of AI. I think it does. AI is a powerful tool, but it was built by humans; which means it inherited our strengths, our blind spots, and our biases. Leaning on it entirely without understanding what's happening under the hood is a risk. A mentor once told me: those who refuse to use AI are not hireable. But neither are those who rely on it entirely. Learning deeply is how you stay on the right side of that line. This is my journey into just that - learning deeply. Day 1 Leetcode 88: Merge Sorted Array This is an interesting problem. You begin with 4 pieces of data — 2 arrays and 2 integers: nums1 : a sorted array whose length equals nums1.length + nums2.length . The first m elements are valid numbers; the remaining indexes hold 0 s as placeholders. nums2 : a sorted array containing only valid numbers, with a length of n . m : the count of valid numbers in nums1. n : the count of valid numbers in nums2. The objective is to merge both arrays into sorted order in place . Since nums1 is already sized to hold every valid element from both arrays, it's where the final sorted result will live. Approach 1: Naive (Splice + Sort) This solution is 2 lines of code. That's it. It's a testament to how much ES6 advanced JavaScript. nums1 . splice ( m , n , ... nums2 ); nums1 . sort (( a , b ) => a - b ); Here's how it works. We start by calling .splice() on nums1. While .splice() has many use cases, here's what each argument is doing in this context: m : the index where we start deleting elements. Since m is the count of valid numbers in nums1, starting at index m puts us right at the first placeholder 0 — exactly where we want to be. n : the number of elements to delete. Since n equals the length of nums2, we're deleting exactly as many placeholders as we have values to insert. ...nums2 : the values we want to insert in place of the deleted elements. The ... is the spread operato

I recently built Letras Diferentes , a free Unicode text-styling tool for people who want creative copy-paste fonts for bios, nicknames, social posts and gaming profiles. The idea is simple: Type normal text Preview different Unicode styles Copy the result in one click Use it on Instagram, WhatsApp, TikTok, Free Fire, Discord or social posts The project is especially focused on Portuguese-speaking users, but the tool works with general Latin text too. Main project: One thing I’m learning while building it is that Unicode text tools are not just about “fonts”. They are about UX, compatibility, mobile performance, copy buttons, favorites, categories and making the result easy to use on real platforms. I’m still improving the interface, categories and mobile experience. Feedback is welcome.

Here's a conversation I've had more than once. A developer is building a React app. It starts...

If you’ve ever worked with Arabic, Persian, Hebrew, Urdu, or any RTL (Right-to-Left) language on the web, you probably know the pain. Mixed RTL/LTR text rendering breaks unexpectedly. Punctuation looks wrong. Numbers don’t match the locale. Ellipsis appears on the wrong side. URLs inside Arabic text become unreadable. And emails or plain-text environments completely destroy formatting. After dealing with this problem repeatedly, I decided to build: rtl-text-tools A lightweight RTL text processing toolkit for JavaScript and TypeScript. It handles: RTL detection Direction normalization Arabic/Persian digit conversion RTL punctuation conversion Ellipsis fixing Unicode bidi wrapping CSS helpers DOM helpers And it works all the way back to IE11 with zero runtime dependencies. Why This Exists Most internationalization libraries focus on translations and formatting APIs. But very few actually solve the rendering problems of RTL text itself. For example: "مرحبا, رقم 123..." Visually, this often renders awkwardly in mixed-direction environments. You usually want: "...مرحبا، رقم ۱۲۳" That means: move ellipsis to the correct visual side convert punctuation convert digits preserve RTL readability That’s exactly what rtl-text-tools does. Installation npm install rtl-text-tools Quick Example import { fixRTL } from ' rtl-text-tools ' ; fixRTL ( ' مرحبا, رقم 123... ' ); // → "...مرحبا، رقم ۱۲۳" Arabic digits are also supported: fixRTL ( ' مرحبا, رقم 123... ' , { lang : ' arabic ' }); // → "...مرحبا، رقم ١٢٣" If the text isn’t RTL, it returns the original string unchanged: fixRTL ( ' Hello world ' ); // → "Hello world" Features 1. RTL Detection Detect whether text contains RTL scripts. import { hasRTL } from ' rtl-text-tools ' ; hasRTL ( ' مرحبا ' ); // true hasRTL ( ' שלום ' ); // true hasRTL ( ' Hello ' ); // false Supports: Arabic Hebrew Persian/Farsi Urdu Syriac Thaana N’Ko Samaritan Mandaic and more 2. Digit Conversion Convert Latin digits into locale-specific numerals. Persian

I want to tell you something that took me years to learn, so you can learn it on a Tuesday afternoon instead of during a production incident: most developers who build REST APIs do not actually know all the security protections their API needs. I did not know them when I started. I learned them slowly, usually right after something broke. I am a Filipino fullstack developer, about ten years in, now based in Norway. I built DaloyJS ( @daloyjs/core ) partly so that newer developers do not have to learn security the painful way I did. This post is a gentle walk through the problem and how DaloyJS helps. No gatekeeping, I promise. First, what even is a "security protection"? When your API is on the internet, anyone can send it anything. Most people are nice. Some are not, and a few are running automated tools that poke at every API they can find. So your server needs some basic defenses. Here are a few, in plain words: Body-size limit: stop someone from sending a giant 2GB request that fills up your server's memory and crashes it. Timeouts: if a request takes forever, give up on it so it does not clog everything. Prototype-pollution protection: block a sneaky trick where a special key in the JSON ( __proto__ ) can mess with your whole app. Header safety: reject weird characters in headers so attackers cannot inject their own. Path-traversal protection: stop a path like ../../etc/passwd from reading files it should not. Hiding error details in production: do not show strangers your stack traces and internal info. Rate limiting: stop one person from hammering your API thousands of times a second. Secure headers and CORS: tell browsers how to safely talk to your API. You do not need to memorize all of these today. The point I want you to take away is simpler: this list exists, it is longer than most people think, and nobody hands it to you when you write your first endpoint. Why this is a trap, especially with AI tools Here is the part that matters most for you right now,

GitHub热门项目 | An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git! | Stars: 33,538 | 37 stars today | 语言: JavaScript

GitHub热门项目 | Home of the WebKit project, the browser engine used by Safari, Mail, App Store and many other applications on macOS, iOS and Linux. | Stars: 9,863 | 4 stars today | 语言: JavaScript

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GitHub热门项目 | A skill for AI-coding tools to build and edit Microsoft Copilot Studio agents as YAML — with schema validation, templates, and AI-powered skills. Suited for Claude Code, GitHub Copilot CLI, and more. | Stars: 286 | 5 stars today | 语言: JavaScript

The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales structural brittleness. This article shows how, to build a future of reliable, AI-driven test automation, we must stop scaling DOM-centric abstractions and build a new testing paradigm grounded in perception and intent. By Amanul Chowdhury, Vinay Gummadavelli

GitHub热门项目 | Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration | Stars: 1,122 | 58 stars today | 语言: JavaScript