标签：#webdev

174 million smart TVs, most of which run Linux. 3.9 billion Android phones. Zero marketing. Tonight, somewhere around the world, a person will press the power button on their Samsung TV. A proprietary Samsung logo will appear. A polished menu will load. They will open Netflix, scroll through recommendations, and pick a movie. They will never know that every frame they see is being scheduled, managed, and rendered by a Linux kernel, the invisible engine that sits between apps and hardware. They will then reach for their Android phone to check something on social media. Another Linux kernel. If they are sitting in a Tesla, the touchscreen showing their charging status is running yet another Linux kernel. The “year of the Linux desktop” debate has been running for two decades. Entire forums exist to argue about whether 2025, 2026, or 2027 will finally be the year Linux takes over the PC market.

CSS @function - DEV Community CSS just got its biggest quality-of-life upgrade since custom properties. For years, if you wanted... dev.to

You’re Overpaying Every Day — You Just Can’t See It Think about the last time you asked an AI to clean up your meeting notes. You probably opened a new chat, pasted in the transcript — maybe 1,500 words — then pasted your usual notes template on top of that, then said something like “format this, bold the action items.” It worked. Useful, even. But here’s what actually happened: the model just read ~3,000 words to produce ~300 words of output. Do that five times a week. Every week. And now think about what’s riding along in that context every single time — your template, your formatting preferences, all the background you’ve already explained before. The model doesn’t remember any of it. It reads it fresh on every call. Every repeat. Every charge. This isn’t a flaw in ChatGPT. It’s the fundamental nature of chat as a paradigm. 2. Chat Is Great — But It Has a Structural Bug Chat is the most natural way to start with AI. Unclear what you want? Talk it out. Need to change direction? Just say so. The feedback loop is instant, the barrier is zero. That’s why everyone starts there. But chat has a structural problem: every single turn carries the entire history. This is how context windows work — the “conversation history the model reads every single time.” Every API call packages up your full history and sends it to the model. You pay for every token the model reads. Ten rounds in, round ten doesn’t cost the price of one message. It costs the price of all ten, stacked. Here’s a concrete version of this. Say you use AI to write your weekly status update. You paste in your bullet points from the week, say “turn this into a proper update,” tweak the tone, go back and forth a couple times. Feels efficient. But those bullets, plus the AI’s draft, plus your follow-up messages, plus the format you’re implicitly re-explaining each time — the real token cost of one weekly update is probably 5 to 8x what you’d guess. You’re paying for repeated context. The bill just isn’t obvious e

How I Built a Bilingual AI-Powered Business Manager for Street Vendors in Jamshedpur The Problem Walk through any street in Jamshedpur, Jharkhand, and you'll find hundreds of small shop owners and hawkers running their entire business from memory — stock levels, daily sales, employee wages, profit margins. They have no tools. Notebooks get lost. Mental math fails. And at the end of the day, most don't even know if they made a profit. These vendors are not tech-illiterate. They have smartphones. They use WhatsApp. But every existing business app is either too complex, too expensive, or only available in English. I wanted to solve that. The Solution — Dukaan Manager Dukaan Manager is a free, offline-capable Progressive Web App (PWA) and Android app built for small shop owners and street vendors in India. It runs entirely in the browser — no server, no subscription, no data charges beyond the initial load. Built using HTML, CSS, JavaScript , and powered by the Gemini 2.0 Flash API , it gives every small vendor access to a smart business advisor in their pocket. What It Does 📦 Stock Management Vendors can add items by name or photo. Each item stores buying price, selling price, and quantity. The app automatically calculates profit margins and flags low-stock items with colour-coded alerts. 💰 Daily Sales Recording Sales are recorded item by item, linked to which employee made the sale. The app auto-fills prices and calculates the total. Unsaved drafts survive accidental page refreshes using sessionStorage. 👥 Employee Tracking Add employees with their role, salary, phone number, and joining date. Mark daily attendance (present/absent) with one tap. Track total sales made by each employee across all time. 📅 Sales History Every saved sale is stored permanently in the browser's localStorage. History is grouped by date, collapsible, and shows daily revenue and profit — clean and simple. 🤖 AI Business Advisor (Gemini-Powered) This is where Google AI comes in. Using the Gemini

CSS just got its biggest quality-of-life upgrade since custom properties. For years, if you wanted reusable logic in CSS, you had two choices: wrestle with custom properties that couldn't do real computation, or reach for a preprocessor like Sass. That era just quietly ended. CSS now has native custom functions — and they're as powerful as you'd hope. 1. What Exactly Is @function ? Think of it exactly like a JavaScript function — but living inside your stylesheet. You give it a name (always prefixed with -- ), define some parameters, and write a result: descriptor that determines what it returns. /* BASIC SYNTAX */ /* Define it once */ @function --double ( --x ) { result : calc ( var ( --x ) * 2 ); } /* Call it anywhere */ .box { width : --double ( 20px ); /* → 40px */ height : --double ( 50px ); /* → 100px */ } No var() wrapper needed to call it. No build step. No Sass import. Just define and use — as many times as you like, across your entire stylesheet. Note: Unlike Sass, native CSS functions don't evaluate math automatically. You must wrap mathematical operations in calc() inside your result descriptor. 2. The Syntax in Full Detail Parameters with Default Values You can make parameters optional by giving them a fallback — the function still works even if you don't pass a value. @function --spacing ( --size : 16px ) { result : calc ( var ( --size ) * 1.5 ); } .card { padding : --spacing (); /* → 24px (uses default) */ margin : --spacing ( 20px ); /* → 30px */ } Type-Safe Parameters You can declare the expected type of each parameter — and the return type too. The browser will validate this at parse time, preventing weird cascading bugs. @function --fade ( --color < color > , --alpha < number > : 0.5 ) returns < color > { result : color-mix ( in srgb , var ( --color ), transparent calc ( var ( --alpha ) * 100% ) ); } .overlay { background : --fade ( royalblue , 0.3 ); /* 70% opaque blue */ } Logic Inside Functions This is where @function gets genuinely exciting. Y

Two file formats. Same animations. Very different performance characteristics. If you've used Lottie before, you know the .json file — you export it from After Effects with the Bodymovin plugin, drop it into lottie-web, done. But there's a newer format: .lottie. It's a binary container that replaces the JSON, and if you're starting a new project, it's worth understanding the difference. What is Lottie JSON? The original format. A .json file that describes vector animations: shapes, keyframes, layers, colors, timing. It's plain text, human-readable, and widely supported. Pros: Works everywhere Lottie is supported Human-readable (you can inspect and edit it) Supported by every tool and library Cons: Large files (uncompressed JSON with lots of repeated data) No built-in support for multiple animations in one file No metadata or preview image support What is .lottie? The .lottie format (sometimes called dotLottie) is a ZIP container with a .lottie extension. Inside it contains: The animation data (compressed JSON) A manifest.json describing the file Optional preview images Optional multiple animations in one container It was developed by LottieFiles and adopted as the preferred format for modern Lottie tooling. Pros: ~30-70% smaller than equivalent JSON (thanks to compression) Can contain multiple animations in one file Supports preview thumbnails Cleaner API in the @lottiefiles/dotlottie-web renderer Cons: Binary format — not human-readable Requires the dotLottie player (not the older lottie-web) Slightly less universal support File Size Comparison For a typical 2-second UI animation: Format Typical Size Lottie JSON (.json) 40 – 120 KB dotLottie (.lottie) 15 – 50 KB The size reduction comes from standard ZIP compression applied to the JSON content. It's meaningful on mobile connections. Converting Between Formats The easiest way to convert between .json and .lottie formats is using the free browser-based tools at IconKing . No signup required, no file size limits. Just

Every web app needs icons. How you manage them at scale — that's where most teams make mistakes. This is the complete guide to building an SVG icon system that doesn't fall apart as your app grows. Why SVG (Not Icon Fonts or PNG) Icon fonts (FontAwesome, etc.) are the legacy approach. The problems: One broken font file breaks all icons Accessibility is terrible (screen readers read the unicode character) Crispy rendering requires specific font-smoothing hacks No multi-color support PNG icons are dead for UI work. Blurry on Retina, can't be styled with CSS, fixed file per size. SVG wins: Infinitely scalable, pixel-perfect on any screen Styleable with CSS ( currentColor , fill, stroke) Accessible with proper ARIA labels Can animate with CSS or SMIL Single format handles all sizes Where to Get Free SVG Icons IconKing SVG Library — 254+ free SVG icons in flat and outline styles. Covers UI, social media, food, objects, and more. Downloadable as individual SVG, AI, or PNG files. No account required. What sets IconKing apart: many icons have matching animated Lottie versions in the Lottie library — useful when you want an animated hover state that matches your static icon. Other solid free sources: Heroicons (heroicons.com) — MIT, Tailwind-made, 292 icons Phosphor Icons (phosphoricons.com) — MIT, 1,248 icons, 6 weights Lucide (lucide.dev) — ISC, 1,400+ icons, React/Vue packages Tabler Icons (tabler.io/icons) — MIT, 5,000+ icons Method 1: Inline SVG Best for: small number of icons, need CSS styling <!-- Inline the SVG directly --> <button aria-label= "Close" > <svg width= "20" height= "20" viewBox= "0 0 24 24" fill= "none" stroke= "currentColor" stroke-width= "2" > <line x1= "18" y1= "6" x2= "6" y2= "18" /> <line x1= "6" y1= "6" x2= "18" y2= "18" /> </svg> </button> The stroke="currentColor" means the icon inherits its color from the parent element's CSS color property — trivial theming. Method 2: SVG Sprite Best for: many icons, better performance (single HTTP request) Bui

Loading states are one of the most overlooked parts of app UX. A bad spinner makes an app feel cheap. A good loading animation makes wait time feel intentional. Here's a curated list of free loading animations you can use right now, organized by format. Lottie Loading Animations (Best Quality) Lottie is the gold standard for loading animations in 2025. Files are small (5-30KB), resolution-independent, and perfectly smooth at any size. IconKing Free Lottie Loaders — 500+ free Lottie animations including dozens of loading spinners, progress indicators, and transition animations. Download as JSON, no account required. Preview any file before downloading at iconking.net/preview . Customize colors to match your brand at iconking.net/editor — swap any color in-browser. Implementation (React): import { useEffect , useRef } from ' react ' ; import lottie from ' lottie-web ' ; function Loader ({ size = 80 }) { const ref = useRef ( null ); useEffect (() => { const anim = lottie . loadAnimation ({ container : ref . current , renderer : ' svg ' , loop : true , autoplay : true , path : ' /animations/loader.json ' }); return () => anim . destroy (); }, []); return < div ref = { ref } style = { { width : size , height : size } } />; } Implementation (Vanilla JS): import lottie from ' lottie-web ' ; lottie . loadAnimation ({ container : document . getElementById ( ' loader ' ), renderer : ' svg ' , loop : true , autoplay : true , path : ' /animations/loader.json ' }); Convert Lottie Loaders to GIF Need the loading animation as a GIF for emails, Notion docs, or environments where you can't run JavaScript? Free Lottie to GIF Converter — upload your JSON, get a GIF. Browser-based, no signup. Other export formats available at iconking.net: Lottie to WebP — animated WebP, smaller than GIF Lottie to APNG — animated PNG with transparency Lottie to MP4 — for video embeds Lottie to WebM — transparent video Lottie to SVG — static frame as SVG CSS SVG Spinners (Zero Dependencies) For simple l

Lottie animations are small, crisp, and interactive. This guide covers finding free animations through production-ready implementation. What Is Lottie? Lottie is a JSON-based animation format from Airbnb. After Effects animations are exported via Bodymovin as small JSON files (10-100KB), rendered by a lightweight JS library. Key advantages over GIF: 10-50x smaller file size Resolution independent vector quality on any screen Interactive — play, pause, seek, speed control Full alpha transparency — no halo effects Step 1: Get Free Lottie JSON Files IconKing Free Lottie Library — 500+ free animations: UI icons, loaders, flags, illustrations. No account needed. Preview any file first: iconking.net/preview — drag and drop to instantly see how it plays. Edit colors and speed: iconking.net/editor — swap colors, adjust timing, all in-browser. Step 2: Install lottie-web npm install lottie-web Or CDN: <script src= "https://cdnjs.cloudflare.com/ajax/libs/bodymovin/5.12.2/lottie.min.js" ></script> Step 3: Basic Implementation import lottie from ' lottie-web ' ; const animation = lottie . loadAnimation ({ container : document . getElementById ( ' lottie-container ' ), renderer : ' svg ' , loop : true , autoplay : true , path : ' /animations/my-animation.json ' }); Step 4: React Component import { useEffect , useRef } from ' react ' ; import lottie from ' lottie-web ' ; function LottieAnimation ({ src , loop = true , size = 200 }) { const ref = useRef ( null ); useEffect (() => { const anim = lottie . loadAnimation ({ container : ref . current , renderer : ' svg ' , loop , autoplay : true , path : src }); return () => anim . destroy (); }, [ src ]); return < div ref = { ref } style = { { width : size , height : size } } />; } Step 5: Playback Controls animation . play (); animation . pause (); animation . setSpeed ( 1.5 ); animation . goToAndStop ( 30 , true ); // frame 30 animation . playSegments ([ 0 , 60 ], true ); // frames 0-60 only animation . addEventListener ( ' complete

You hit "Submit Order" and nothing happens. The spinner just spins. Is it processing? Did the request get lost? You click again. If the API on the other end does not implement idempotency, you just placed two orders. Maybe two charges to your card. This is a solved problem — and the solution is simpler than you think. What Is Idempotency? An operation is idempotent if doing it multiple times produces the same result as doing it once. GET requests are naturally idempotent — fetching a resource does not change it. DELETE is also idempotent in practice. The trouble is POST and PATCH : create an order twice, and you get two orders. An idempotency key is a client-generated unique identifier (usually a UUID) that you send with a mutating request. The server stores this key with the result. If the same key arrives again — whether due to a retry, a network blip, or an impatient user — the server returns the cached result instead of executing the operation again. Implementing Idempotency on the Server Here is a minimal Express implementation backed by Redis: const express = require ( " express " ); const redis = require ( " ioredis " ); const { v4 : uuidv4 } = require ( " uuid " ); const app = express (); const cache = new redis (); app . use ( express . json ()); // TTL for idempotency records: 24 hours const IDEMPOTENCY_TTL = 86400 ; async function idempotencyMiddleware ( req , res , next ) { const key = req . headers [ " idempotency-key " ]; if ( ! key ) return next (); // optional on GET/DELETE const cached = await cache . get ( `idem: ${ key } ` ); if ( cached ) { const { status , body } = JSON . parse ( cached ); return res . status ( status ). json ( body ); } // Intercept the response to cache it const originalJson = res . json . bind ( res ); res . json = async ( body ) => { if ( res . statusCode < 500 ) { await cache . setex ( `idem: ${ key } ` , IDEMPOTENCY_TTL , JSON . stringify ({ status : res . statusCode , body }) ); } return originalJson ( body ); }; next ();

This requires both CSS and JS, but is otherwise fairly lightweight and minimal. You can see the effect in action here: https://stephenmthomas.github.io/ico2go/ (Just drag and drop the "ICO2GO" logo in the upper left down into the drop zone to begin the conversion. Its also a single filed - embedded CSS and JS so right click view source, save, whatever...) I recently built an SVG to ICO converter (couldn't find one online that did exactly what I wanted, though doubtless one exists) - and I decided for really no reason at all to tweak the details summary elements to serve the main areas of the document in a "step 1 2 3" fashion. I had styled the elements with CSS already - initially to serve as an "about this app" sections - styling it so it fades in and slides to size. Then decided to just use them as a sort of walkthrough wizard... I'm going to present the steps backwards because the CSS at the bottom is technically optional, although it adds a nice touch and I highly recommend both using that CSS and saving it for later use - its a good way to style those elements outside of this somewhat ridiculous use-case. So, essentially, we are going to be using scaffolding like this - completely hidden sections of the page, as large or small as you want, able to be turned on, off or toggle as you see fit. Each page or section or chapter of the DOM will live inside of a detail summary block like so: <details id="areaHelloWorld"> <summary style="display: none;">HIDDEN AREA - HELLO WORLD/summary> <!-- YOUR CONTENT HERE --> </details> Debatable practice abound here, but because the summary is hidden and inlined, you can still use normal detail-summary sections elsewhere. Anyway, depending on your content... there are now sections of the DOM that are unrendered. There is no conventional way - as far as I know - to open/reveal the content in the details section when the summary is not displayed. To hide or show these areas, you simply add the open attribute to the appropriate detai

HI people. I'm looking for a template like that. I made a simple Html note app by Claude and want to make it a propher Android app. I don't know coding. I don't think i want to spend year learning this too. I make it just for personal use and won't publish it on google story or anywhere else. I liked Web2apk Builder but it's not free (i don't have money, honestly). But with Android studio i have to deal with hundreds unknow unknow so i wonder if there is a template outhere (maybe on github) that could help me out ? Thank you for your attention to this matter !!! submitted by /u/Moonnnz [link] [留言]

​ Hey folks i am reaching out in a bit of distress. i am software engineer i been in the industry for 3 years 2 years as a freelancer and over a year as a corporate employee. I have shipped hundreds of features, fixed legacy code base others wouldn't dare to touch. My latest feat was to ship a fully fledged Crypto Trading platform to production. My clients are secretive but their projects are really interesting. Multi encryption dashboards with AES. And what not. Automations through kestea. Long story i have massive exposure to industry practices and modern trends in tech. i am writing APIs in Elysia and Go. Changing legacy redux to modern zustand. I am experienced with docker and Kubereeties and i manage multiple servers for my clients. I kinda lean towards bare metal more What im struggling at is im getting paid dirt cheap cause i live a 3rd world country. 300 dollars/ month. I been struggling to get clients online and so much so i have spent hundreds of dollars on upwork and been trying different platforms. But nothing. I know its a luck's game too but i still feel like im doing smth wrong. My rates are all over the place i have charged clients 30$/ hour and im getting paid like 300/ month at the same time If i do find a client its someone local who also pays dirt cheap but way more then my job does very rarely i am satisfied with the work I've given. The argument my job place gives is i lac experience and we don't have clients. What should i do form here on out im getting anxious about my future and doubting myself now. Like i know how the code works how systems work what the trend is but getting client's is where i am struggling Ps i am working 2 jobs like 15-16 hrs a day one is my secure permanent job that pays dirt cheap and other ones are my freelance cleints that pay me decently ig. But i find them once every 3 months Ps ill appreciate some reconditions Oh and another PS : i made a promotional post earlier and was lazy to edit that so now i made a full post

It’s more like Wiktionary + Wikidata. So there will be: - At least 2,000 words (with a change history). - User accounts (usernames and contributions). Now, is there a completely free online database service that can handle all of this? submitted by /u/Free-Ant-463 [link] [留言]

Hi all, my friends and I build an open-source tool which uses static analysis and a slim layer of LLMs to visualize the architecture of a project. The tool is open-source: https://github.com/CodeBoarding/CodeBoarding We have also generated quite a few projects over time you can find them all on github as well: https://github.com/CodeBoarding/awesome-architecture-mds What are some projects that are interesting to you, I will visualize them to see how are they build! submitted by /u/ivan_m21 [link] [留言]

The conversation about who reads your website has been shifting. Agents are part of it now. ChatGPT fetches URLs. Perplexity reads content. Shopping agents try to complete purchases. Coding agents hit your API. Most of those products were built for humans, tested against humans. The agents showed up later and quietly. When they can't figure something out, they don't complain. They just bounce. I heard the phrase "second audience" at a hackathon where you.com was one of the hosts. It stuck. That's what agents are: a second audience the web wasn't designed for and isn't being measured against. And now, I want to build something about it. A scanner that tells you what an AI agent experiences when it tries to use your website or your API. The internal name is Perseus Clew and the public product is Agentis Lux. The split is intentional: Perseus Clew is the engine name, part of a suite of AI builder tools , and Agentis Lux is the product-facing name (Latin for "light of the agent") that describes what agent users see. This isn't a launch post. I just finished a docs phase, and I'm about to write code. Before I do, I want to put this in front of dev.to builders and find out what I'm missing. What it will do Three layers: Deterministic scanning. Twelve check categories — six for frontends, six for APIs — looking at HTML, ARIA, structured data, OpenAPI specs, error responses, idempotency patterns. Same input, same score, every time. The methodology will be published, the weights will be public, and anyone can audit it. AI-readiness scoring tools have a reputation for inflating numbers and hiding their methodology, so the trust floor is making everything inspectable. That's the foundation the rest sits on. An AI-written verdict. After the score, a Bedrock call reads the top findings and writes one sentence about what an agent experiences. Something like: "An agent visiting this page can read your product descriptions, but can't tell which button starts checkout, so it can't f

We were running a cloud-hosted platform on AWS EKS , with EC2 worker nodes managed by us, MongoDB Atlas for NoSQL workloads, AWS RDS for relational databases, and Amazon ElastiCache for Redis for caching and temporary data. Over time, the infrastructure had grown the way most real systems grow: more services, more data, more backups, more images, more snapshots, and more “temporary” resources that were no longer temporary. The platform worked, but the cloud bill was higher than it needed to be. So we started cutting waste, improving the application, and resizing the infrastructure around how the system actually behaved. The result: around $120,000 in annual savings , without sacrificing reliability. The Problem Was Not One Big Thing When we started reviewing the infrastructure, it was clear that there was no single expensive resource causing the entire problem. The cost came from many places at once. Some services were using more CPU and memory than they needed. Some microservices did not really need to be separate anymore. Some databases were oversized for their actual usage. Some storage had accumulated over time. Some backups and snapshots were kept longer than necessary. Some resources were simply unused. That is usually how cloud costs grow. Not because of one bad decision, but because of hundreds of small decisions that were reasonable at the time and never revisited later. So instead of looking for one magic fix, we approached the problem from multiple angles: application code, architecture, databases, Kubernetes resources, storage, backups, caching, and non-production environments. The Optimizations 1. Making the Application Use Fewer Resources One of the most important parts of the optimization was improving the application itself. It is easy to look at cloud cost as an infrastructure problem only, but inefficient code directly affects infrastructure cost. If the application uses too much CPU or memory, the platform needs more pods, larger nodes, bigger ins

We have watched tokens stream in from an LLM before where they appeared one at a time, like the model was typing. If you used the Anthropic SDK's .stream() method, it just worked and you probably never saw what was on the wire. This post will majorly focus on how a stream response works and how bugs are handled by SDK behind the hood. 1. Why Streaming exists To enable the streaming option we would need to make one change in the post request that is a single field "stream": true and it will change the response experience. Here are the pointers we take from the gif. The left side shows no streaming as the cursor blinks for 4 seconds then the whole response lands at once. The right side shows the streaming where the first word shows up in about 300 milliseconds. Words flow in as the model generates them. Both the sides have same model, same prompt, same total time it is just the right side started giving response almost 4 seconds earlier. The 4 seconds wait time for a full reply feels broken. A streamed reply that finishes in four seconds feels fast. Streaming doesn't make the model faster it makes the wait disappear. 2. What's on the wire When you set stream: true , the API stops sending a single JSON blob. It opens a persistent HTTP connection and pushes events down the line as the model generates them. The format is Server-Sent Events (SSE) a web standard. Any SSE debugger will read this stream. Here's what comes through: A few things to notice: The text lives in delta.text , nested inside content_block_delta events. Those are the events we should look after. stop_reason moved. In post 1 , we saw it right there in the response JSON. Here, it arrives at the very end inside a message_delta event, just before message_stop . If the loop bails out as soon as the text stops arriving we will never see it. Chunks don't line up with tokens or words. You might get "Hello" in one chunk and " world" in the next, or both in one. The network decides where the cuts happens and it

so here is a problem i am trying to solve: context: restful or restlike api design partial update of entity through patch request. for this example let’s say client model. the problem is that different fields can be updated but result in different business logics to be triggered. for example change to client.name is a simple update but client.status can result in an email to go to users about the client being offboarded. or changes to client.ownerId require extra validation and verification of the assigned user. or changes to client.logo_url and client.website must happen together. what is the most ideal way to code it where one path can trigger different logics depending on body schema? I want an approach that is simple to work on many routes to develop business logic. AND, simple enough for others to read and debug as needed. please assume I am using a flexible framework that top engineers will implement whatever I ask them, so I am not limited to a given framework or a solution that exists. It can be an approach that does not exist but you hope it did. submitted by /u/farzad_meow [link] [留言]

Hey folks, I create Wordpress websites almost entirely in code and CSS for speed. Up to now, I’ve only ever built websites from scratch for customers. However I’ve recently had an enquiry from a local company asking me to rebuild their extremely slow(like snail mail slow) and outdated website - I don’t really delve into the Google side of things as the websites I build tend to rank pretty well organically, however the customer is concerned about building a new website as they already show up pretty high up on Google search pages - I’ve been reading some mixed opinions and got some less than helpful advice from the website I prefer to use for hosting. Some think, as the domain name is staying the same, it shouldn’t make a difference, however, others are saying otherwise. As I’ve never actually done a migration to a new site I’ve built before, what’s the best way to go about this? submitted by /u/PhantomNate [link] [留言]