Khachapuri: Georgian Cheese Bread in Pure CSS
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art. ...
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This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art. ...
This is a submission for Frontend Challenge - Comfort Food Edition, Perfect Landing What I Built The leaf is the page. For my CSS Art entry, I drew my mother's Sunday meal: sixteen dishes on a banana leaf, each one placed where Telugu tradition puts it. For Perfect Landing, that artwork became the navigation. Tap any dish on the leaf and the page takes you to that dish's course. Scroll instead, and you move through the meal in eating order: ghee first, then the curries, the pulusu, rasam, the rice varieties, the crunch, the sweet, and finally perugu. The scroll is the serving order. The structure of the page is the structure of the meal. It is deliberately not a restaurant. No menu cards, no reservation form, no gallery. One family, one Sunday, eight courses, and the rules my mother enforces at each one. The part I cared most about: a screen reader is served this meal the same way my mother serves it. The heading order, the tab order, and the reading order all follow the eating order. Tap targets on the leaf move focus to the course they open, so keyboard and screen reader users travel with everyone else. Telugu headings carry lang="te" so they are pronounced as Telugu, not mangled as English. The course nav marks where you are. And with reduced motion on, the smooth scrolling and the ghee-pour animation both settle down together. Demo Things to try: tap the rice mound (or the ghee spoon) on the leaf and see where it takes you. Press Tab from the top of the page and watch the skip link appear before anything else. Scroll and watch the Telugu nav track your course. Turn on reduced motion and take the calm version of the same journey. Every visual on the page is CSS. No images, no SVG, no canvas. Journey The concept came from the eating itself. On a banana leaf, order is information: neyyi before anything, perugu always last. Most landing pages invent an information architecture. This meal already had one, and it is thirty years older than CSS grid. My whole job was n
This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry. ...
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art. Inspiration For me comfort food has never really been about the plate. It's about who's sitting around it. I grew up in Pakistan, and the memory that comes back first is everyone crowded around the dastarkhwan over a steaming handi of chicken biryani. Someone always grabs the serving spoon before anyone else. Someone asks for more raita. The jalebis are gone before the meal even properly starts, and there's a glass of chilled lassi at every place. So I didn't want to draw a dish. I wanted to draw that — the small ritual of the first plate being served — using only HTML and CSS. Demo Live Demo : https://waasilaasif.github.io/Dastarkhwan/ Source Code : https://github.com/WaasilaAsif/Dastarkhwan Journey This went well past drawing static shapes. The centerpiece is a brass handi overflowing with biryani, framed by the usual suspects: raita, jalebis, lassi, an empty plate, and the serving spoon resting beside the pot. All of it is HTML and CSS — gradients, layered pseudo-elements, border-radius pushed to its limits, CSS-only shadows, and a fairly stubborn amount of keyframe choreography. The animation was the part I actually cared about. I didn't want things to just move. I wanted a sequence. A hand comes in, picks up the spoon, scoops from the handi, serves onto the plate, adds a spoonful of raita, sets the spoon back down, and the whole table settles into its idle state before the loop starts again. Getting the food recognizable was harder than getting it to look nice. Making a lump of gradients read as "that's a chicken leg" or "that's clearly biryani and not just yellow rice" took a lot more fiddling than the playful final result suggests. Like a lot of people in this challenge, I used AI in the process — I worked with Claude to iterate on the harder animation timing. It's a tool in the workflow, not a shortcut past the thinking. What stuck with me is that CSS can carry a story, not just sty
Two people asked a context compressor two completely different questions. It gave them the same answer. Not a similar answer — byte for byte the same 544 characters. Here's what that looked like: query="Fix the IntegrityError on commit" level=L0 -> 159 tok cache_hit=False query="Explain the tax rounding TODO in compute_tax" level=L3 -> 159 tok cache_hit=True identical output: yes (544 chars both) Different question. Different compression level. Same 544 characters, served from cache. Finding it I wasn't looking for this. I was auditing something else entirely — measuring how much meaning a context compressor loses, not how fast it runs. My harness feeds the same corpus through the compressor with different queries and checks which critical substrings survive: file paths, error types, line numbers, identifiers. I noticed two rows in my results table were identical. Same token count, same output. My first assumption was that my own harness had a bug — that I was passing the same query twice and hadn't noticed. So I changed the second query to something with no words in common with the first, and bumped the compression level from L0 to L3, which should change the output dramatically on its own. Same 544 characters. That was the moment it stopped being my bug. The cause One line: sid = content_hash(content) That sid was doing two jobs. It was the shadow ID — the handle used to refer to a stored document. And it was also the cache key. As a shadow ID it's correct: the same content should get the same handle. As a cache key it's wrong, because the output of compress() doesn't depend only on the content. It depends on the content and the query and the compression level. Two of those three inputs were simply not part of the key. So the first caller warmed the cache for a piece of content, and everyone who touched that same content afterwards got the first caller's answer — regardless of what they actually asked for. Why this is worse than a stale cache A stale cache gives y
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art . Inspiration Hyderabadi dum biryani is more than a dish to me—it is a ritual. The sealed handi, the slow charcoal heat, the suspense before the atta crust is broken, and the first rush of saffron, mint, birista, and spice all feel inseparable from the experience. I wanted to turn that moment into an interactive midnight poster: Hyderabad’s skyline behind a copper handi, with the food hidden until the viewer breaks the seal. Demo Click BREAK THE SEAL to lift the lid and reveal the four biryani layers. How it works The artwork is built with HTML and CSS only: A native <details> / <summary> control stores the open and closed states. CSS :has() coordinates the seal crack, lid lift, layer reveal, steam, labels, embers, and state-aware copy. Rice grains, mint leaves, birista, spices, meat, copper patina, flour dust, the skyline, and the moon are all CSS shapes. There are no images, SVGs, canvas, JavaScript, gradients, or frameworks. A mobile composition and prefers-reduced-motion keep the piece responsive and accessible. The reveal is deliberately choreographed: seal cracks → lid lifts → layers separate → labels arrive → steam settles Journey The hardest part was keeping the illustration detailed without losing the strong poster silhouette. I iterated on three areas: Material: hammered copper marks, soot, flour residue, dough cracks, and print texture. Depth: curved food layers, overlapping grains, steam arches, and ingredient silhouettes. Motion: a staged opening sequence rather than making every element animate at once. The most satisfying decision was using a semantic HTML control for the interaction. The artwork still works with a keyboard, and disabling motion does not hide the final state. I used Codex as an iterative coding and visual-critique partner. I directed the concept, cultural references, composition, and final decisions, while the agent helped implement and test the CSS system. Wh
This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry . The build was done. Themis Lex worked on my machine, and not in the "works if you squint" way. A court clerk enters their role, describes their workflow, picks a data sensitivity level, and gets back a PDF with two sections: where AI can safely support the work, and where it must never touch it. Claude via Bedrock generates the assessment. Server-side PDF render. No accounts, no storage, session ends when the download does. Three weeks solo, for the Women in AI Accelerator Spring 2026 Build Challenge. Initial commit went in at 7:06pm on May 9. I pushed to AWS Amplify . Build went green. I opened the live site, filled out the form, hit submit. Nothing. Twenty eight seconds later, "Request timed out." I told myself the bug was not in my code. Everything ran locally. This had to be a platform problem. That belief carried me all night. It mostly held up. The exception was the first thing I should have checked. Here is the commit log, because it tells the story better than I can: 19:06 Initial commit: Themis Lex MVP 20:31 refactor: migrate Bedrock auth to IAM compute role 22:29 diag: log credential env vars at runtime (booleans only, remove after fix) 22:40 fix: forward BEDROCK_MODEL_ID to SSR runtime via next.config.js env 22:50 fix: switch to InvokeModelWithResponseStreamCommand to beat 28s Lambda timeout ... 06:28 fix: remove unused type export that broke isolatedModules build 06:37 fix: end-to-end response streaming to beat Amplify 28s gateway timeout 06:48 fix: reduce max_tokens to 3000 to fit Amplify 30s timeout 06:52 fix: reduce max_tokens to 2000, 3000 still exceeded 30s timeout 07:00 fix: switch to Claude Haiku 4.5 to fit Amplify 30s timeout Ten and a half hours from first deploy to the fix that shipped it. That gap between 22:50 and 06:28 is me sleeping on it, which turned out to be the second most productive thing I did. The error message was the absence of an error message My f
This is a submission for Frontend Challenge - Comfort Food Edition, Perfect Landing * What I Built: * I built Ember & Spice which is an interactive landing page celebrating Tandoori Paneer Tikka, one of North India's most iconic comfort foods. The site is built for a fictional restaurant of the same name and brings the dish to life through immersive visuals and interactive features. * The page includes: * A hero section with an aesthetic AI-generated tandoori video A sizzle effect — click the Sizzle button and sparks fly across the image An interactive skewer builder where you stack paneer, peppers, and onions then grill them A spice dial slider that visually changes the marinade heat from Mild to Fiery A CSS-art tandoor oven that roasts your built skewer An ingredient tasting plate — click cards to add items A recipe checklist with a live progress bar A reservation form with client-side validation Fully responsive, mobile-first design with scroll-reveal animations Demo: ** Live site* : https://tandoori-paneer.vercel.app/ **Github *: https://github.com/jogadiyadipak28-art/tandoori-paneer * Journey: * I chose Tandoori Paneer Tikka because it's the kind of dish that carries memory (PS: It's my favorite dish) the smell of charcoal, the bright orange marinade, skewers shared at family gatherings. I wanted the page to feel as warm and alive as the dish itself. The most fun part was building the interactive Kitchen Lab, the skewer builder, spice slider, and tandoor oven are all pure vanilla JS and CSS, no libraries. Getting the tandoor CSS art to glow and the skewer pieces to animate onto the rod was deeply satisfying. I'm particularly proud of the sizzle effect, clicking the button sends 16 spark particles flying across the hero image and story photo, with a brief brightness flash. It's a small touch but it makes the page feel reactive and alive. What I learned: How powerful IntersectionObserver is for scroll-reveal without any libraries. CSS aspect-ratio for keeping the
This is a submission for Frontend Challenge - Comfort Food Edition, Perfect Landing What I Built The Comfort Atlas is a spinning 3D globe of comfort food from ~100 countries. Virtually travel the globe and have a taste of the comfort foods from 100~ countries. Moussaka in Greece, Jollof Rice in Nigeria, Pho in Vietnam. There is also a "featured dish of the day" that rotates deterministically so it's the same for everyone visiting that day. And the fun feature: visitors can type in their own comfort dish and generate a downloadable, passport-stamp-style card in one of three color styles. Demo https://comfort-atlas.netlify.app/ Journey I started with a flat SVG world map, clickable countries, keyboard support, a hover tooltip on the map, all built on real elements so accessibility came for free. It worked fine, but it looked very meh. So i decided to try something i have never done before. Make a globe! I used cobe which promised a 3D globe out of the box. First attempt rendered absolutely nothing but floating dots. 😂 With a lot of the help of my friend claude, we found out that their docs are outdated, and there is not a createGlobe() draws exactly one synchronous frame and expects you to drive a requestAnimationFrame loop calling .update() yourself. Two things on the globe I'm especially proud of, because neither had any library support: a hover tooltip that tracks a marker in 3D space, and a fading "trail" of great-circle arcs between the countries you've visited. Both came down to translating the projection math out of a minified bundle into something readable, then reimplementing it myself. What I would do next: dark mode. What I learned: a lot about accessibility in 3D/canvas, which is so much more difficult than the 2d one, one check for a11y is never enough. Maps are hard, and getting something to track a moving 3D object from regular DOM is even harder. Licensed under MIT Fun fact: I don't like Moussaka, even though i am greek, my comfort food is Pizza. xD
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art. ...
This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry. ...
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art . Inspiration I'm from El Salvador, and here comfort food has one name: pupusas . Thick corn tortillas stuffed with cheese, beans and chicharrón, served with curtido (pickled cabbage slaw) and tomato salsa. It's our national dish, but more than that — it's the food you eat at a plastic table at night, under one warm light, with the comal hissing somewhere behind you. That last image is what I wanted to capture. Not just the plate: the moment . So the piece has a light switch. Demo Two things to try: "Bañar en salsa" — pours salsa over each pupusa with a staggered cascade. "Apagar la luz" — turns the whole scene into a night pupusería, lit only by a flickering candle (veladora). Journey Everything is CSS: gradients, border-radius , box-shadow and blend modes. No images, no SVG, no libraries. JavaScript is 15 lines — two class toggles. The tablecloth is the flex. The blue-and-white geometric mantel is five bands built entirely with repeating-conic-gradient and repeating-linear-gradient — chained diamonds, sawtooth rows, chevrons. Zero background images. This was the part I rewrote the most until the patterns locked together. The night is one single element. When you turn off the light, I'm not repainting anything. A single overlay div with mix-blend-mode: multiply holds two stacked radial gradients: near-white around the candle (multiplying by white changes nothing — so that IS the light), falling off to deep blue at the edges. The steam even turns moonlit-blue for free, because that's just what multiply does to white pixels. One div, one blend mode, full day/night mood shift. Corn kernels are two offset dot grids. The mazorca's kernels are two radial-gradient grids shifted by half a cell — which is exactly how kernels interlock on a real cob. That half-cell offset is the difference between "corn" and "polka dots". The curtido is seven crossed stripe layers. White and purple cabbage, carrot, c
Project Overview The project is a React-based web application that fetches data from a REST API and displays it in a dynamic dashboard. Users can navigate between pages, search data, and interact with multiple components that rely on asynchronous API calls. While testing the application, I noticed that navigating away from a page during an active API request occasionally caused React warnings and unnecessary memory usage. This issue affected the application's stability and could lead to performance degradation over time. The problem was caused by an asynchronous operation continuing even after the component had been unmounted. For example, an API request initiated inside useEffect would still complete after the user navigated away, attempting to update the component's state. React would warn that a state update was attempted on an unmounted component. Before useEffect(() => { fetch("/api/users") .then((res) => res.json()) .then((data) => setUsers(data)); }, []); If the component unmounted before the request finished, the callback still attempted to update the state. After I solved the issue by using the AbortController API to cancel the request during cleanup. useEffect(() => { const controller = new AbortController(); fetch("/api/users", { signal: controller.signal, }) .then((res) => res.json()) .then((data) => setUsers(data)) .catch((err) => { if (err.name !== "AbortError") { console.error(err); } }); return () => controller.abort(); }, []); This ensures that pending requests are cancelled when the component unmounts, preventing unnecessary state updates and avoiding memory leaks. Code Prince3963 (Patel Prince) / Repositories · GitHub Prince3963 has 48 repositories available. Follow their code on GitHub. github.com My Improvements This fix focused on improving both performance and application reliability. What I improved Prevented memory leaks caused by unfinished asynchronous requests. Added proper cleanup logic inside useEffect. Eliminated React warnings about u
The Chaotic Bug: The Infinite State Loop & Memory Leak In a real-time clinical AI health suite, high-frequency telemetry streaming (such as 60Hz ECG canvas updates) demands surgical precision. During heavy load testing, our frontend performance suddenly degraded: CPU thread usage hit 98%, heap memory ballooned to over 1.4 GB, and DOM frame rendering dropped to single digits. The Root Cause A subtle React useEffect hook listening to the incoming WebSocket data stream contained the state setter inside its dependency array: // ❌ THE CHAOTIC BUG (Caused infinite state sync re-renders) useEffect(() => { const sub = ecgDataStream.subscribe((point) => { setEcgPoints((prev) => [...prev, point]); // Triggered full tree re-render on every frame! }); return () => sub.unsubscribe(); }, [ecgPoints]); // Including state array in deps created recursive re-subscription storm! Every incoming telemetry frame pushed new state, triggering an immediate top-level component re-render, which re-subscribed to the stream and accumulated thousands of orphaned event listeners. Best Use of Sentry: Pinpointing & Clearing the Lineup Sentry Performance Tracing and Sentry Error Tracking proved invaluable in isolating this silent killer: Transaction Waterfalls: Sentry flagged transaction spans render_ecg_canvas exceeding the 500ms threshold (averaging 842ms). Breadcrumb Trail: Sentry logged a rapid succession of CanvasRenderer memory allocation warnings (>64MB/sec). Issue Grouping: Sentry grouped 14,000 React Maximum update depth exceeded exceptions into a single actionable alert. The Fix & Restored Harmony We refactored the streaming engine to bypass React state re-renders entirely for frame accumulation, employing a zero-allocation useRef buffer paired with a requestAnimationFrame render cycle, and instrumented Sentry Breadcrumbs: // ✅ THE RESILIENT FIX (Zero-allocation ref buffer + Sentry Breadcrumb) import * as Sentry from '@sentry/react'; const bufferRef = useRef([]); useEffect(() => { Sentry.a
This is a submission for Frontend Challenge: Comfort Food Edition , CSS Art: Comfort Food. What I Built A pure CSS art scene of the ultimate Hong Kong comfort food: a steaming bowl of wonton noodle soup (雲吞麵) at a late-night dai pai dong. Nothing says "home" to me like a midnight bowl of wonton noodles under a glowing paper lantern — so I recreated that feeling entirely in CSS: no images, no SVG, just divs, gradients, border-radius tricks, and keyframe animations. The scene includes: 🥣 A classic HK porcelain bowl with the iconic blue rim stripe pattern (repeating-linear-gradient) 🍜 Golden broth with a noodle nest built from repeating-radial-gradient concentric arcs 🥟 Four pleated wontons, half-submerged at the broth line 🥢 Wooden chopsticks resting across the rim (tapered with clip-path) ♨️ Soft, organic steam wisps — blurred gradient blobs on staggered transform/opacity loops 🏮 A swaying red paper lantern casting a warm light cone 🌙 Moon, twinkling stars, bokeh lights, a flickering pink neon 雲吞麵 sign, chili oil saucer, and a cup of tea Demo zsp67x2nfnudg.kimi.page 👆 Live full-screen demo — watch the steam rise, the lantern sway, and the neon sign flicker. View page source to see the full CSS — every technique is commented! Journey Design goal: I wanted the warmth of the lantern light to contrast against the cool indigo night, with a subtle purple dusk at the horizon — the exact feeling of sitting at a Hong Kong street stall at 1am. Techniques I'm proud of: The steam was the hardest part. Thin wisps disappeared against the sky, so I layered blurred radial-gradient blobs (13% wide, filter: blur) with keyframes that hold a long visible opacity plateau (0 → .7 → .65 → .38 → 0). Four wisps run on two different periods (6s / 7.2s) with delays locked 25% of a cycle apart, so at least one wisp is always near peak — the bowl never stops steaming. The bowl is a single div with border-radius: 0 0 50% 50% / 0 0 100% 100% for the porcelain body; the broth ellipse's own border d
--- title : " Perfect Landing — Soul & Spoon (Comfort Food Edition) — Research Summary" published : false tags : [ " frontend" , " html" , " css" , " javascript" , " accessibility" , " performance" , " react" , " svelte" ] cover_image : " https://images.unsplash.com/photo-1543353071-087092ec393a?q=80&w=1600&auto=format&fit=crop&ixlib=rb-4.0.3&s=3" canonical_url : " " series : " " --- Perfect Landing — Soul & Spoon Research Summary A concise, ready-to-paste DEV post that summarizes the research, design decisions, technical choices, and next steps for the Soul & Spoon landing-page project — a warm, accessible, performance-minded single-page site celebrating soul food. What I Built Soul & Spoon — Comfort Food Landing Page is a single-page landing site that showcases soul-food plates with a polished, modern frontend. The static prototype includes: Hero with a full-bleed background and clear CTAs. Featured dishes section with responsive cards and descriptive copy. Gallery of soul-food plates with a keyboard-accessible lightbox. Contact form with client-side validation and toast feedback. Responsive, accessible, and performant implementation using semantic HTML, picture / srcset /WebP, lazy loading, and minimal JavaScript. Research Summary and Rationale Design goals Evoke warmth and comfort through color, rounded shapes, and soft shadows. Prioritize readability and hierarchy for quick scanning on mobile and desktop. Keep interactions simple and predictable: smooth scroll, accessible modal, and unobtrusive toast notifications. Accessibility findings Semantic elements ( header , main , section , figure , figcaption , footer ) improve screen-reader navigation and SEO. Keyboard operability is essential: gallery images must be focusable and open via Enter/Space; Escape should close the lightbox. ARIA attributes ( aria-hidden , aria-expanded , role="dialog" ) plus focus management significantly improve modal usability. Performance findings Images dominate page weight; srcset an
This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry . You are migrating a 50,000-message Slack workspace to Zulip. Somewhere around message 31,000 the import dies with KeyError: 'ts' . Annoying, but here is the uncomfortable part: that is the lucky outcome. The unlucky one is "ts": "NaN" , where nothing dies, nothing warns, and your company's message history quietly comes out in the wrong order. TL;DR: Zulip's Slack importer used float(message["ts"]) unguarded, both as a sort key and as date_sent . One message with a missing or malformed ts aborted the entire import; a non-finite value like "NaN" did not even raise, it silently broke the sort. My fix ( zulip/zulip#39813 ) skips such messages with a warning and requires ts to parse to a finite float via math.isfinite . The regression test fails with KeyError: 'ts' on the old code. Project Overview Zulip is an open-source team chat server (Django/Python, ~25k stars) with an unusually strict engineering culture: near-total backend test coverage, strict mypy, and a commit discipline of "each commit is a minimal coherent idea". The code I touched lives in zerver/data_import/ : the subsystem that converts exports from Slack, Microsoft Teams, and Mattermost into Zulip's format. This subsystem has one property that should shape every line in it: the input is another tool's output. Import is a long batch process over data of arbitrary quality, and the admin running the migration has no way to "fix" what Slack's export tool produced. A pipeline that dies on record 31,207 of 50,000 is strictly worse than one that skips record 31,207 with a warning. Bug Fix or Performance Improvement get_messages_iterator() in zerver/data_import/slack.py streams every message of the export, sorting each day's messages by timestamp: yield from sorted ( messages_for_one_day , key = get_timestamp_from_message ) where the sort key was simply: def get_timestamp_from_message ( message : ZerverFieldsT ) -> float : retur
This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry . The most expensive bug I fixed this year was not in the code. It was in the documentation, and it had been shaping what everyone believed the code did. The setup HydraDNS is an open-source DNS security gateway I build in Go. Router points at it, it filters every DNS query on the network against a 92k-domain blocklist, blocks the bad ones, forwards the rest. Before putting it on anyone else's network I wanted a real number for what one box could take, so I sat down with dnspyre and a rule I had written for myself: every number becomes a sales claim or a fix ticket. No number, no claim. Our feature sheet said the blocklist was backed by a Bloom filter, sub-millisecond lookups. Here is the uncomfortable part: at every load this system had ever run, that claim was indistinguishable from the truth. Normal-traffic latency sat at one or two milliseconds. There was nothing to doubt, because nothing observable disagreed. The first ceiling The redline test capped at about 500 queries per second. Odd, but fine, until I noticed the cap would not move. Blocked queries capped at ~500. Cached queries that never touch upstream also capped at ~500. Two paths doing completely different work, same wall, CPU sitting under 30% on a 22-core dev machine. That combination is worth memorizing: when two very different code paths hit the same ceiling and the CPU is bored, the bottleneck is not in either path. It is in something they share. Ours was the blocklist check. IsBlocked ran a SQL COUNT against the 92k-row table on every single query, because the check sits in front of the cache, so even cache hits paid for it. Every one of those reads was serialized through a single SQLite connection, MaxOpenConns=1 , which was also absorbing the async write traffic from query logging. Engine self-latency under load: p50 of 50ms, p99 of five full seconds. For DNS. And the Bloom filter? I went looking for it so I could
This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art. Inspiration Comfort...
This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry . A payment webhook sounds simple until a successful payment doesn't actually result in the service the customer paid for. That was one of the more interesting bugs I encountered while building The Listening Ear, an appointment and online consultation platform. The requirement was straightforward: A customer pays for a session → the application confirms the payment → the customer's appointment is booked → a Zoom meeting is created. The reality was much more complicated. Project Overview The Listening Ear connects online payments with appointment scheduling and Zoom-based consultations. The application was built with technologies including Next.js 14, TypeScript, Supabase, Prisma, PostgreSQL, Zoom, and payment-provider APIs. The payment workflow was particularly important because payment confirmation was effectively the gatekeeper for the rest of the booking experience. The intended flow looked like this: Customer │ ▼ Payment Provider │ │ webhook ▼ Next.js Webhook │ ├── Verify / interpret payment │ ├── Create Zoom meeting │ └── Create appointment record │ ▼ Customer receives access to their scheduled session The problem was that the webhook sat directly in the middle of all of these operations. Bug Fix or Performance Improvement The bug appeared when I was implementing the payment webhook that would unlock the Zoom scheduling workflow. My initial implementation listened for the payment event and checked whether the event was: if (event === 'charge.success') { Once that condition was met, the webhook immediately continued into the booking workflow. That workflow included: Reading appointment metadata from the payment event. Handling special emergency appointments. Building the Zoom meeting payload. Calling the Zoom meeting API. Creating the appointment record in the database. Returning a successful response to the payment provider. The problem was that all of these operations were effecti