标签：#webdev

I started to look for a job after a long and cozy period and I noticed the skills you have to use at the job are not the ones required to pass technical tests and theoretical interviews. I went to a few of them with the arrogant impression that my experience will compensate, and it did not. So, I started to build a database of questions and tests, then put them in a mock interview questions , a site that anyone can use. As of now I'm focusing on database and system design questions, but many more sections to be added soon. Please let me know what do you think it's important for you and the interviews you are attending. An also please note, the site is still WIP and some of the features are only partially working, but be as harsh as you want. Any feedback is more than welcomed. submitted by /u/websilvercraft [link] [留言]

Every headless WordPress conversation starts the same way — someone draws an architecture diagram with arrows pointing from a REST API to a shiny Next.js frontend, and it looks clean. Too clean. This is a post about what happens when you close the whiteboard and open the actual codebase. The Stack Decision: GraphQL vs. REST vs. Direct MySQL This is usually the first fork in the road. For this build, the client already had a well-indexed WooCommerce site. The product catalog, slugs, and taxonomy structure were already doing heavy SEO work. So the constraint was simple: nothing about the data layer changes, only how we consume it. WPGraphQL was a real option — but it meant adding a plugin dependency to a WordPress install we were actively trying to slim down. The WP REST API was already there, no installation required, and exposed exactly what we needed: products, categories, pages, and media — all queryable by slug. The decision: WP REST API, consumed server-side via Next.js fetch in Server Components. // Fetching a product by slug — preserving the existing URL structure const res = await fetch ( ` ${ process . env . WP_API_BASE } /wp/v2/product?slug= ${ params . slug } &_embed` , { next : { revalidate : 3600 } } ); const [ product ] = await res . json (); No new dependencies on the WordPress side. The legacy install runs as a lean shell — no active theme, minimal plugins, just the REST API and the data. The Site Kit Problem: Bridging Familiar Workflows This is where most migrations quietly fail the client. The previous team lived inside WordPress admin. Google Site Kit gave them traffic stats, Search Console data, and Analytics — all surfaced in a UI they knew. Ripping that away and telling them "just use Google Analytics directly" is a workflow regression, not an upgrade. The pivot here was building a lightweight admin dashboard as part of the Next.js project — not a full replacement for Site Kit, but a mirror of the metrics they actually checked daily: Page views

Since my other site I posted today did so well I figured I'd share this one too. This site actually gave me the idea for Overwatch.earth. Yes, this one will likely become a SaaS in time due to the operating costs but as it stands now it's completely free. WorldIP.io - The complete IPv4 address space, mapped submitted by /u/tuxxin [link] [留言]

Runs on a daily GitHub Action so it stays current, thought it was neat and wanted to share in case anyone else wanted to fork it or use it https://github.com/colincode0/github-readme submitted by /u/anotherinternetlad [link] [留言]

I’ve been working on TrailVerse for a while now, and it’s slowly becoming the kind of national parks planning tool I always wished existed. The idea is simple: find parks, compare options, check useful details, and turn a trip idea into a day-by-day plan with Trailie. Still improving things, still adding more, but I’m happy with where it’s heading. If you like national parks, road trips, or just exploring new places, check it out: https://www.nationalparksexplorerusa.com/explore submitted by /u/peakpirate007 [link] [留言]

Built bag-radar.com after getting tired of wondering whether my cabin bag would actually get checked. It lets travellers view real experiences of how strict airlines and airports are with baggage size and weight checks. Still early, but I'd love to hear what people think. submitted by /u/mub2010 [link] [留言]

Code: https://github.com/anishshobithps/themandalastudio It's a fun project for timepass, feedback appreciated. submitted by /u/anish_shobith_19 [link] [留言]

I would love to hear peoples opinions on it. Thank you! submitted by /u/stupid_moron23 [link] [留言]

As a web developer, I've noticed that many beginners spend months watching tutorials but struggle when it's time to build something from scratch. That's one reason I started building WebCoDeveloper — a place where I can share practical web development knowledge, real coding examples, and solutions to problems I've faced while working on projects. My goal isn't to create another tutorial website. It's to build a resource that helps developers move from "I watched a video about it" to "I actually built it." I'm curious: What's the biggest challenge you faced while learning web development? Understanding JavaScript? React/Next.js concepts? Building projects? Finding quality learning resources? Getting your first developer job? I'd love to hear your experiences and learn what resources have helped you the most.

Hi everyone, I’m building Penform, a browser-based tool that turns handwriting into a real installable OTF font. The idea came from seeing people use AI tools to recreate handwriting for personal cards and notes. The results can be touching, but the workflow felt backwards to me. Personal handwriting should not require a black-box model, a server upload, a GPU, or a hidden training pipeline. Penform takes a more deterministic approach: Print an A4 Template or use a tablet Write characters into predefined Glyph Slots Upload a JPEG or PNG scan/photo Align four printed Alignment Markers Optionally add more filled templates for contextual alternates Review and optionally refine the extracted glyphs Preview the generated font in the browser Download an installable .otf Everything runs locally in the browser. There is no account, no upload, no OCR, and no AI. A TemplateManifest defines the page geometry, so the app knows where every Writing Box, Glyph Slot, Alignment Marker, and font metric reference is. The manifest is the source of truth instead of OCR or server-side inference. The part I’m considering open-sourcing is the browser engine behind it. It currently handles: image decoding and EXIF-normalized capture manual marker alignment homography-based perspective correction A4 warping at 150/300 DPI writing-box cropping from a Template Manifest thresholding and empty glyph detection glyph vectorization contour winding correction pixel-to-font-unit mapping OpenType font generation OTF validation before export per-glyph threshold, scale, offset, and rotation overrides I’m trying to figure out two things: Whether this engine is useful enough to open-source as a standalone package Whether the product itself is useful beyond my own use case It is not meant to replace professional font design software. The goal is narrower: preserve someone’s actual handwriting well enough that it becomes usable as editable text for cards, notes, labels, classroom materials, personal project

How Reinvoice Uses HMAC Signatures to Detect Invoice Tampering Every invoice sent through Reinvoice includes a cryptographic integrity signature. It is not a PDF stamp, a visual badge, or a checkbox. It is an HMAC-SHA256 hash generated from the invoice payload and a server-side signing secret. If signed invoice data changes after creation, Reinvoice can recompute the hash, compare it to the stored signature, and flag the invoice as potentially tampered with. Here is why we built it, how it works, and what we learned. Why Integrity Checks Matter for Invoicing Invoices are high-value documents. A single altered field could change a payment amount, tax calculation, client record, or audit trail. Most invoicing systems treat invoices as ordinary database records. That works for normal CRUD workflows, but it does not automatically prove that the invoice data being viewed today is the same data that was created and sent. Reinvoice adds an integrity layer. When an invoice is created, we sign the fields that define the invoice. Later, when someone verifies the invoice, we recompute the signature from the current data and compare it against the original stored signature. If the values do not match, the invoice is flagged. The Implementation The signature is stored in two places: on the invoice record in the database, and behind a public verification endpoint. import { createHmac , timingSafeEqual } from ' node:crypto ' ; const SIGNATURE_FIELDS = [ ' invoiceNumber ' , ' issuerName ' , ' clientName ' , ' totalAmount ' , ' currency ' , ' taxAmount ' , ' issuedAt ' , ' dueDate ' , ' lineItems ' , ' notes ' , ' subtotal ' , ' discountAmount ' , ' shippingAmount ' , ] as const ; export function generateInvoiceHash ( invoice : InvoiceData ): string { const payload = SIGNATURE_FIELDS . map (( field ) => { const value = invoice [ field as keyof InvoiceData ]; return ` ${ field } = ${ JSON . stringify ( value )} ` ; }). join ( ' | ' ); return createHmac ( ' sha256 ' , SIGNING_SECRET )

Hey DEV community! 👋 I built IMGVO — a free image tool that works entirely in your browser. What it does Convert JPG, PNG, WebP, AVIF, HEIC and more Compress images up to 90% without quality loss Crop, resize, rotate, watermark Works offline (PWA) Why I built it Most image tools upload your files to servers. I wanted something private and instant. Tech 100% vanilla JavaScript No backend, no server Works offline as PWA Privacy first No files uploaded to any server. Everything runs locally in your browser. 🆓 Free, no signup required. 👉 Try it: https://imgvo.com Would love your feedback! 🙏

Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product. Large Language Models have made it surprisingly easy to generate text. Building a reliable AI application, however, is a completely different problem. Once you move beyond a simple "send prompt, get response" demo, you quickly encounter real-world concerns: Prompt management Structured outputs Multi-step workflows Tool calling Observability Evaluation Model switching Production debugging Many teams end up creating custom frameworks around OpenAI, Anthropic, Gemini, or local models just to manage these concerns. This is where Genkit comes in. Originally developed by Google, Genkit provides a framework for building AI-powered applications with a focus on workflows, tooling, observability, evaluation, and production readiness. While most examples online focus on Node.js, Genkit now has growing support for Go, making it an interesting option for backend engineers who want AI capabilities without introducing an entirely separate application stack. In this article we'll build practical examples and explore how Genkit helps structure real-world AI systems. Why Genkit Exists Most AI applications evolve like this: Phase 1: response := callLLM ( prompt ) Everything seems simple. Phase 2: You need: Retry logic Prompt versioning JSON outputs Tool integrations Tracing Metrics Human review workflows Now your codebase starts accumulating AI-specific infrastructure. Genkit attempts to provide these building blocks from day one. Think of it as: "Spring Boot for AI workflows" rather than "an LLM SDK." Installing Genkit for Go Create a new project: mkdir genkit-demo cd genkit-demo go mod init github.com/example/genkit-demo Install Genkit: go get github.com/firebase/genkit/go/ai Depending on your provider, you'll also install provider plugins. For Gemini: go get github.com/fi

Built a GitHub profile badge that shows where your visitors are coming from I wanted something more interesting than a simple profile view counter, so I built GitViewsMap. Add the snippet to your GitHub profile README (given in repo below) The badge tracks profile visits, and clicking it opens an interactive map showing the approximate locations of visitors. The project is open source and already deployed, so you can use it right away by replacing YOUR_GITHUB_USERNAME with your GitHub username. A few questions: Would you put something like this on your profile? What stats would you want besides a visitor map? Any features you'd like to see added? Repository: Utkarsh-rwt/gitViewsMap https://preview.redd.it/yanbotpzap5h1.png?width=663&format=png&auto=webp&s=2eba0193e266ffb74f5cabaf193d54ac5933bc71 https://preview.redd.it/bk15wl70bp5h1.png?width=1908&format=png&auto=webp&s=a9848597b593935c0a8e40d8bbd4f5479d6e8f16 submitted by /u/UtkarshRawat7 [link] [留言]

I was writing Playwright E2E tests for a small Three.js platformer and hit a confusing issue. Game context: https://games.xgallery.online/forest-quest/ The game worked in the browser. But in headless Chromium, enemies barely moved, jumps looked inconsistent, and the boss test would sometimes fail for no obvious reason. The problem was requestAnimationFrame throttling. In a headless run, the page does not always get normal frame pacing. My game loop depended on rAF, so waiting 1 second in the test did not mean the game simulation advanced like 1 second of real play. The fix was to expose a manual frame step in the game. The test can call a small internal function that advances one frame with a controlled timestamp. Then the test helper advances the game in small steps. Instead of waiting one big second, it calls that frame step about every 50ms. That made the tests deterministic enough to check real gameplay behavior. Example observations from the full run: L2 mushroom patrol delta: 1.071 L6 boss HP sequence: [7, 6, 5, 4, 3, 2, 1, 0] Boss phase switched: true The funny part is that the boss model did not need to be loaded for this to work. The boss could be a Meshy model or a gray fallback box. For E2E, the important thing was the state machine, collision, HP, and portal reveal. I would be careful with this kind of hook in a serious public game. For this tiny project, it is a testing helper, not a scoring or account system. I used to think of browser game testing as screenshot-heavy. This project reminded me that sometimes the best test hook is just a safe way to drive the loop yourself. submitted by /u/Top-Cardiologist1011 [link] [留言]

I wanted a simple place to see what games come out this week without digging through ten ad-heavy sites. I couldn't find one I liked, so I built it. gamecalendar.es What it does: - Releases week by week — you can scroll forward/back through weeks - "Recent" and "Most anticipated" views - Metacritic + OpenCritic scores on each game - Gaming events & showcases with countdowns and stream links - English + Spanish, light/dark mode - Works on mobile Honest context: - It's a personal project, built by one person in my spare time. - Game data comes from IGDB. I'm not affiliated with any company or store. - It's completely free. No ads, no accounts, no invasive tracking (just privacy-friendly analytics, no cookies). - Stack is plain HTML/CSS/vanilla JS, a Postgres database (Neon), hosted on Vercel. No frameworks — I wanted it fast and simple. It's brand new, so there are rough edges and the database is still being filled out. Any feedback — features, bugs, things that feel off — is genuinely welcome. submitted by /u/zwrkly [link] [留言]

Hey [ r/webdev ]( r/webdev )! I just open-sourced the frontend for a tool I built to solve a very real (and timely) problem in the cannabis space. With the 2025/2026 federal hemp law changes coming (seeds will no longer freely cross state lines), growers need to know exactly what genetics are available in their state. So I created CI Seed Map — a fully interactive, data-heavy map of 1,039 breeders, seed banks, dispensaries, and cultivators across 27+ states. Live demo: https://seed-map.poweredbyci.live Repo: https://github.com/Shannon-Goddard/seed-map-usa Key features I’m proud of: • Dual UI modes: Location mode (filter by type/state, marker clustering) + Breeder mode (searchable list of 924 unique breeders → show every location carrying them with custom logo markers). • Priority stacking — when a spot carries multiple selected breeders, the top one’s logo shows with a green ring + “+N” badge. • Rich popups with brand logo grids (up to 12 + “+more”), strain highlights, and hand-written editorial notes. • “Find Me” geolocation with branded radius circle, live search, mobile-first responsive design (collapsible filters, hamburger nav). • Age gate + strong data protection: AWS API Gateway + Lambda serving private S3 data via time-limited HMAC-SHA256 session tokens (no static JSON exposure). Tech stack: • Leaflet.js 1.9.4 + MarkerCluster • OpenStreetMap tiles • Vanilla JS + responsive CSS (mobile-first) • AWS Lambda (Python 3.12) + API Gateway + private S3 • 700+ processed brand logos, Nominatim geocoding pipeline, Formspree forms The dataset was manually researched and verified (huge shoutout to the data side), but the map itself was built lightning-fast with Amazon Q Developer helping on architecture, token system, responsive bits, etc. Would love any feedback on the UX, performance, code structure, or ideas for future enhancements (e.g. more advanced filtering, user submissions, etc.). Especially curious how the logo marker + priority logic feels! 🌱 (21+ only, obviou

submitted by /u/pilcrowonpaper [link] [留言]

https://umigalaxy.com combines a media tracker and an imageboard style forum. Features: Markdown support for the imageboard Both anonymous and logged in support User mentions in the imageboard for logged in users Media tracker of anime, manga, tv shows, movies, games Treasure and achievement system where users can earn limited cards for contributing to the media database Clan system where up to 50 people can join a clan and up to 5 clans can form an alliance Direct Messaging system Friend system Android and iOS apps in development submitted by /u/AutoMick [link] [留言]

I often have to use different email addresses and SSH keys when working for different clients. Managing `.gitconfigs` manually was always a PIA so I created this little tool for myself to help me manage them. Github: https://github.com/sgolovine/crgc NPM: https://www.npmjs.com/package/@sunnygg/crgc submitted by /u/_fat_santa [link] [留言]