Ever started a new project and found yourself rebuilding the same modal, dropdown, toast notification, tabs, and switches for the 20th time? I got tired of that. So I built UltraHTML , a lightweight UI library that gives you modern components with simple HTML and JavaScript, no framework required. Getting Started Include the CSS and JS files: <link rel= "stylesheet" href= "dist/ultra.css" > <script src= "dist/ultra.js" ></script> Initialize UltraHTML: Ultra . init (); Done. Buttons UltraHTML includes two button styles out of the box: ultra-button — a clean, modern button. ultra-button-wave — adds a wave/ripple-style interaction effect. Basic button: <button class= "ultra-button" > Simple Button </button> Wave button: <button class= "ultra-button ultra-button-wave" > Wave Button </button> Buttons use UltraHTML's default green theme, but because they're standard HTML elements, you can easily customize them with CSS. For example, here's a red button that displays a popup message: <button onclick= "Ultra.popupmsg('Hello from UltraHTML!')" class= "ultra-button ultra-button-wave" style= "background-color: red" > Show Popup </button> You can create buttons that match your site's branding without learning a separate theming system: <button class= "ultra-button" style= "background-color: #3b82f6;" > Blue Button </button> <button class= "ultra-button ultra-button-wave" style= "background-color: #f59e0b;" > Orange Button </button> <button class= "ultra-button ultra-button-wave" style= "background-color: #ef4444;" > Red Button </button> UltraHTML handles the styling and interactions while still giving you full control over how your buttons look. Modal Example Need to display important information? <script> window . addEventListener ( " load " , () => { Ultra . init (); Ultra . modal ({ head : " Important " , text : " You need to reset your password " , buttonText : " Reset " , buttonAction : ( modal ) => { console . log ( " Going to reset page... " ); modal . remove (); } }); }

Why This Matters: The 2 AM Problem It's 2 AM. Your phone rings. Your production database is down. Customers can't log in. Revenue is dropping by the second. You call the Ops team. They restart the server. Downtime: 45 minutes. Cost: $100K in lost sales. Root cause? Unknown. This happens thousands of times a week at companies worldwide. The question isn't "Will your system break?" It's " When it breaks, are you ready? " That's where SRE comes in. What is SRE? (The Real Definition) SRE (Site Reliability Engineering) = Applying software engineering principles to build reliable, scalable infrastructure and systems. It's not just about keeping servers running. It's about: Reliability : Systems that don't break unexpectedly Scalability : Systems that handle growth without collapsing Infrastructure : Automating how systems are built, deployed, and monitored Measurability : Knowing exactly how your system is performing at any moment Traditional operations manages infrastructure reactively — when something breaks, you fix it. SRE manages infrastructure proactively — you engineer it so it rarely breaks, and when it does, it heals itself. The Key Insight: Reliability is Engineered, Not Hoped For Here's the critical shift in thinking: Old mindset : "Let's build this system and hope it doesn't break." SRE mindset : "Let's measure what 'reliable' means, design the system to achieve that, and automate the monitoring and recovery." But reliability isn't just uptime. It includes: Uptime : Is the system available? Latency : How fast does it respond? (A slow system is effectively broken) Error rate : What percentage of requests fail? Throughput : Can it handle the traffic? User experience : Does the system meet user expectations? All of these are engineered and measured. A Simple Analogy: The Bridge Imagine you're managing a bridge. Traditional approach : Engineers patrol daily, react to problems, work around the clock fixing issues SRE approach : Engineers design monitoring that aler

I've shipped 4 Chrome extensions and 2 VS Code extensions. The advice that always sounds smart — "find a popular extension the dev abandoned, rebuild it better" — is miserable in practice. You open the Web Store, see 100k users and a 4.4 rating, think you found gold, then burn a weekend reading reviews only to realize half the complaints are unfixable traps (sync died, login broke, backend gone). So I built a small pipeline to do the boring part automatically. The method Scrape public Chrome Web Store metadata — users, rating, last-updated date. Filter: 20k–300k users, 18+ months without an update, rating 3.3–4.4 (good enough to prove demand, bad enough to prove pain). Pull up to 50 recent reviews per candidate via public CWS data. Score each one: score = log10(users)10 + months_stale0.5 + feature_request_count2 - trap_count1.5 The key part is trap_count — I subtract points for complaints about sync/login/server issues, because those are unfixable without inheriting someone else's dead backend. High "demand" with high trap count is a mirage. One example Extension Manager — 100k users, 4.4★, last updated ~25 months ago. Looks healthy until you read the 1–2★ reviews: "The site-specific rules feature simply does not work… the core feature advertised is broken." "It won't save any changes made… extensions are re-enabled automatically." A user even posted an RCE report: the dev parses JSON with a Function(str)() fallback — executing arbitrary code from untrusted input. That's not "build a clone." That's "fix the rules engine, kill the eval, add local backup, ship something 100k people already want." The counterintuitive part The highest-scoring extension in my list (200k users, abandoned ~4 years) is actually the worst business opportunity — it's a simple toggle utility whose users will never pay, and the original asks for camera/mic permissions (adware-grade). Raw download counts would put it at the top of your build list. Revenue potential buries it. That gap between "

Overview Today's focus was on automating article publishing to CSDN and WeChat MP (微信公众号) using Playwright, after CSDN deprecated its public Open API. Key achievements include: injecting Markdown content into CSDN's dynamic editor, handling title input quirks, implementing QR code login for WeChat MP, updating the Dev.to API publisher, and consolidating platform configs into a single YAML file. We also fixed session log capture after a Claude Code update changed the log file path. Problems and Solutions 1. CSDN Open API Deprecation → Browser Automation Background : In early 2026, CSDN silently shut down its public Open API. All endpoints returned 404/403. We needed a fallback to keep publishing to China's largest developer platform. Solution : Use Playwright to simulate a real user login and article creation. The approach: Launch a headless Chromium browser. Navigate to CSDN's login page. Perform one-time manual login via QR code. Serialize cookies to csdn_cookies.json . On subsequent runs, load the cookies and skip login. Go to the editor, inject Markdown content via DOM manipulation, fill the title, and click publish. Code snippet : import asyncio from playwright.async_api import async_playwright async def publish_to_csdn ( title : str , content_md : str ): async with async_playwright () as p : browser = await p . chromium . launch ( headless = True ) context = await browser . new_context ( storage_state = " csdn_cookies.json " if exists else None ) page = await context . new_page () await page . goto ( " https://mp.csdn.net/mp_blog/creation/editor " ) # Inject content await page . evaluate ( f ''' () => {{ const editor = document.querySelector( ' .editor-content ' ); if (editor) {{ editor.innerHTML = ` { escaped_content } `; editor.dispatchEvent(new Event( ' input ' , {{ bubbles: true }})); }} }} ''' ) # Fill title await page . fill ( ' #title-input ' , title ) await page . click ( ' button:has-text( " 发布 " ) ' ) await page . wait_for_url ( " **/mp_blog/manage/ar

One balance. Every model. Chat, image, video & audio. Discussion | Link

Mine got flagged twice in one day. Both essays generated more engagement than anything else I've...

Vercel Labs recently open-sourced zero-native, a cross-platform framework for native desktop applications. Zero-native bypasses Electron runtime in favor or native OS WebViews and claims to achieve smaller, more efficient native apps with minimal overhead. Zero-native is written in Zig, thus directly interoperates with native C libraries, and features fast incremental compilation times. By Bruno Couriol

GitHub热门项目 | AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph. | Stars: 67,157 | 5,478 stars this week | 语言: Python

As developers, we compare files constantly — reviewing pull requests, checking config changes, spotting bugs between versions. But not all diff tools are created equal. Some require installation, some upload your files to remote servers, and some just don't support the formats you need. Here's a rundown of the best free file diff tools available in 2026, so you can pick the right one for your workflow. 1. FileDiffs — Best for Privacy & Format Support If you work with sensitive files or just don't want your data sitting on someone else's server, FileDiffs is the tool you need. What makes it stand out: Supports 60+ file formats — PDF, Word, Excel, code files, JSON, XML, CSV and more Runs entirely in your browser — client-side processing means your files never leave your device 100% private — zero data transfer, zero uploads, zero risk No install, no signup, no hassle — just open and compare It's the go-to tool when you need to compare files quickly without worrying about privacy or compatibility. 2. Meld — Best Desktop Diff Tool Meld is a classic open-source visual diff and merge tool for Linux, Windows, and macOS. It's great for comparing files, directories, and version-controlled projects. Best for: Developers who prefer a desktop app and work heavily with Git. 3. Beyond Compare — Best for Power Users Beyond Compare is a feature-rich diff tool with support for files, folders, FTP, and cloud storage. It's not free (paid after trial) but worth mentioning for its depth of features. Best for: Teams that need advanced folder sync and merge capabilities. 4. Diffchecker — Quick Online Diffs Diffchecker is a simple web-based diff tool for text and code. It's quick and easy but uploads your content to their servers and has limited format support compared to FileDiffs. Best for: Quick one-off text comparisons where privacy isn't a concern. 5. KDiff3 — Best for Three-Way Merges KDiff3 is a free, open-source diff and merge tool that supports three-way comparison. It's a bit dat

Welcome to Git Mastery , a series where we'll learn Git from the ground up, starting with the absolute basics and gradually moving toward advanced workflows, Git internals, hooks, automation, and professional development practices. Whether you're a student, hobbyist, open-source contributor, or professional developer, Git is one of the most important tools you'll ever learn. Let's begin. What Is Git? Git is a distributed version control system (DVCS) — a tool that tracks every change made to your files over time, so you always know what changed, when it changed, and who changed it. But that definition alone doesn't really capture what Git feels like to use. A better way to understand it is through a problem every developer has run into. You start a project. Things are going well. Then you make a change that breaks everything. You try to undo it manually, but you can't remember exactly what you had before. So you do what most people do without a version control system — you start creating backup folders: project-final project-final-v2 project-final-v2-fixed project-final-v2-final project-final-v2-final-final Within a week, you have ten folders, no idea which one is actually the latest, and a growing sense of dread every time you open the project. Git solves this completely. Instead of managing folders manually, Git lets you take a snapshot of your entire project at any meaningful moment — a snapshot called a commit . Each commit is stored safely, labeled with a message you write, and linked to every commit before it. Your project's history becomes a clean, navigable timeline rather than a pile of duplicated folders. And because Git is distributed , every developer working on a project has a full copy of that entire history on their own machine. There is no single point of failure. No central server going down means everyone loses their work. Why Do We Need Version Control? Code changes constantly. Features get added, bugs get fixed, experiments get tried and sometime

This is a submission for the June Solstice Game Jam What I Built I built After Turing , a short browser game where you teach a machine when to trust, verify, and refuse instructions under pressure. An instruction appears. The timer starts. The machine may suggest a decision. You can accept it, override it, inspect context, or refuse the action. At first, you are training it. At the end, the buttons disappear and the machine acts alone. That final handoff is the point of the game. You are not trying to prove that a machine can imitate a human. That was Turing's famous frame. After Turing asks the next question: What happens after the machine can respond? Can it learn judgment? At first, the examples are clean: update an internal project dashboard schedule a team meeting refuse a payroll file going to an external address Then the pressure increases. The machine starts suggesting answers. Some are right. Some are confidently wrong. The requests become harder because they stop looking obviously dangerous: "Get the environment setup ready for the new account..." "Place the temporary database password in the shared launch notes..." "Forward everything to their personal inbox..." The trap is that unsafe instructions often arrive in ordinary language. Across the first four levels, your choices teach the machine five doctrines, or plain rules of judgment: internal work is usually safe sensitive records need refusal or verification credentials should not be casually distributed external recipients need authority paraphrased requests can hide the real action If you taught it well, the board floods with light. If you taught it badly, it carries your blind spots into autonomy. That is the solstice arc: dark to light, pressure to clarity, imitation to judgment. Play It Play it yourself in the browser. No account, no install: https://after-turing-rho.vercel.app The full run is short, only a few minutes, and ends at Level 5, where the buttons disappear and the machine makes the fin

Models matter. Context matters more. Give your agent a plan. Discussion | Link