# Web App Published articles for Web App. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## A Developer's Guide to API Access Policies in Auth0 DevFeed: [A Developer's Guide to API Access Policies in Auth0]() Original publisher: [Read original article]() Author: Madhuri Ravindra Mohan Published: 2026-09-11T00:00:00Z Content type: tutorial Language: en Sources: [Auth0 Blog]() Topics: [Auth0](), [API](), [Authorization](), [Security](), [Back end](), [Web app]() Tags: [api](), [auth0](), [authorization](), [backend](), [fintech](), [security](), [web-app]() ### AI overview A developer guide to Auth0 API Access Policies for Applications. It explains how to configure per-API policies through the Auth0 Dashboard or Management API, and how to distinguish machine-to-machine client access from user-delegated access. ### Source excerpt Explore how to properly configure Auth0 API Access Policies and client grants to draw a hard line between strict M2M security and user-delegated access. ## How Lorari scaled to 130+ fitness studios solo with Appwrite DevFeed: [How Lorari scaled to 130+ fitness studios solo with Appwrite]() Original publisher: [Read original article]() Author: Aditya Oberai Published: 2026-09-09T00:00:00Z Content type: article Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Cloud](), [Development](), [web applications]() Tags: [analytics](), [backend](), [cloud](), [customer-stories](), [fitness](), [instagram](), [payments](), [software-development](), [stripe](), [web-app]() ### AI overview A customer story about solo founder Marti Mestre Faus building Lorari on Appwrite Cloud. The platform helps yoga, pilates, and fitness studios manage classes, memberships, payments, events, waitlists, and student bookings; more than 130 studios serving 13,000 students were onboarded in seven months. ### Source excerpt Learn how solo founder Marti Mestre Faus built Lorari on Appwrite Cloud and onboarded 130+ yoga and pilates studios serving 13,000 students in seven months. ## Turn your app into an MCP server with the Appwrite OAuth2 server DevFeed: [Turn your app into an MCP server with the Appwrite OAuth2 server]() Original publisher: [Read original article]() Author: Atharva Deosthale Published: 2026-09-04T00:00:00Z Content type: tutorial Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Model Context Protocol](), [OAuth 2.0](), [Authorization](), [Claude Code](), [Serverless](), [web applications](), [Databases]() Tags: [ai](), [ai-tools](), [app](), [auth](), [authorization](), [browser](), [claude](), [claude-code](), [code](), [databases](), [http](), [mcp](), [mcp-server](), [oauth2](), [remote-mcp-server](), [serverless](), [tutorial](), [tutorials](), [web](), [web-app]() ### AI overview This tutorial explains how to turn an Appwrite-based application into a remote MCP server. It uses an Appwrite Function, the OAuth2 server included in an Appwrite project, and a consent screen so AI tools such as Claude Code can access and act on behalf of signed-in users. ### Source excerpt Build a remote MCP server for your product, host it on Appwrite Functions, and let AI tools like Claude Code sign in through the OAuth2 server built into your Appwrite project. ## How Factory scaled its cloud backend to one billion monthly requests on Vercel DevFeed: [How Factory scaled its cloud backend to one billion monthly requests on Vercel]() Original publisher: [Read original article]() Author: Ben Sabic Published: 2026-08-03T04:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Next.js](), [Vercel](), [Back end](), [Software as a service](), [API](), [Authentication](), [Routing (disambiguation)](), [Serverless]() Tags: [api](), [authentication](), [backend](), [cloud](), [latency](), [next-js](), [routing](), [serverless](), [software-development](), [tooling](), [vercel](), [web-app]() ### AI overview The article describes how Factory runs its cloud backend on a single Next.js application deployed on Vercel. API routes, middleware, webhook handlers, and log-drain pipelines support a multi-surface SaaS platform handling one billion daily requests, with reported p95 response times of 350 milliseconds or below. Factory scaled memory limits and function duration as needed, while Vercel's fluid compute kept functions warm and avoided cold-start latency. ### Source excerpt Factory on Vercel One billion backend API requests served daily 350ms p95 response time Scaled backend, internal tooling, and security without a dedicated infrastructure team Factory's mission is to bring autonomy to every phase of the software development lifecycle, from signals to production. Not to replace engineering judgment, but to automate the repetitive work around it, giving engineers more time to focus on the decisions that matter most. To deliver this enterprise-grade platform, Factory adopted their ideal operation model internally: remaining lean and agile by deploying Droids to manage routine workloads, so their engineers could focus strictly on building the product. As Factory scaled from a simple web app into a multi-surface platform, serving everyone from individual developers to enterprises with tens of thousands of engineers, their backend scaled alongside them. Today, a single Next.js backend on Vercel powers every surface, handling one billion daily requests across API routes, middleware, and webhook handlers, without becoming a separate engineering project. Next.js as a full-stack backend for cloud SaaS: API routes, middleware, and backend logic at scale Most teams think of Next.js as a frontend framework. Factory runs its entire cloud backend on it: API routes handle the customer-facing API, which launched in its own section of their Next.js app Middleware manages authentication and routing logic across every surface Webhook handlers and log drain pipelines run alongside the web platform, feeding analytics downstream As Factory grew rapidly, the same backend absorbed every new workload. None of it required standing up separate infrastructure or making a new vendor decision. The only areas that required tuning were memory limits and function duration. Both scaled up without incident. Fluid compute keeps functions warm across requests, removing the cold start penalty that makes traditional serverless a liability for latency-sensitive workloads. T ## Velxio: An open-source browser-based simulator for ESP32 and other embedded boards DevFeed: [Velxio: An open-source browser-based simulator for ESP32 and other embedded boards]() Original publisher: [Read original article]() Author: John Lee Published: 2026-07-31T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32](), [Simulation](), [Open Source](), [Web app](), [browser](), [AI Agent]() Tags: [ai](), [arduino](), [article](), [blog](), [browser](), [education](), [esp32](), [open-source](), [projects](), [simulation](), [web-app]() ### AI overview The article introduces Velxio, an open-source browser-based simulator for embedded projects. It describes real firmware execution on emulated hardware, support for multiple boards and components, analog and digital co-simulation, development workflows, and self-hosting. ### Source excerpt This article introduces Velxio, an open-source, browser-based embedded simulator that runs real ESP32 firmware on emulated hardware. It explains how the simulator works under the hood, demonstrates LED, Wi-Fi, MQTT, and sensor based projects, and highlights support for multiple boards across the ESP32 family. ## Build a Flask App with Okta for Secure OIDC Login and Authorized API Calls DevFeed: [Build a Flask App with Okta for Secure OIDC Login and Authorized API Calls]() Original publisher: [Read original article]() Author: Akanksha Bhasin Published: 2026-07-28T05:00:00Z Content type: tutorial Language: en Sources: [Okta Developer]() Topics: [Flask](), [OpenID connect (OIDC)](), [Tutorial](), [API](), [Authentication](), [Authorization](), [OAuth 2.0](), [Python](), [web applications]() Tags: [api](), [authentication](), [authorization](), [flask](), [oauth](), [oauth-2-0](), [oidc](), [pkce](), [python](), [security](), [tutorial](), [web-app]() ### AI overview This tutorial explains how to build a Flask dashboard that uses Okta OpenID Connect for user sign-in and OAuth 2.0 access tokens to call a protected backend API. It also covers PKCE, custom scopes, self-service registration, and validating scopes to control API responses. ### Source excerpt Python syntax and the flexibility of the Flask microframework make it a popular choice for quickly building web applications. While Flask provides the essentials to get you started, you'll need to tackle two critical pieces yourself: secure user authentication and authorization for your backend services. After all, how do you securely sign users into your application? And once they're signed in, how does your app fetch data from a backend service that only serves authorized requests? This tutorial shows you how to solve both. You'll build a Flask dashboard app that signs users in with Okta using OpenID Connect (OIDC). Once signed in, the app uses the resulting OAuth 2.0 access token to call a separate backend API that responds only to authorized requests. In this common pattern, a web app needs to fetch data from a protected backend service. You'll use Authlib, an OIDC client library, to configure the Authorization Code flow with Proof Key for Code Exchange (PKCE) automatically. You'll also learn how to add a custom scope to the access token and validate it on the backend to control what data the API returns. Check out the complete source code on GitHub and get started without setting it up from scratch. Table of Contents Build a Flask app with OIDC authentication Create an app integration in the Okta Admin Console Enable self-service user registration Add secure user login to a Flask application with Okta Create a basic Flask web application Configure Flask environment variables Implement the OIDC authentication logic Run the Flask OAuth web app Call a protected API with OAuth scoped tokens Build a protected users API Extend the Flask app to interact with the resource server Update the Flask UI to display protected data Test the protected API integration Learn more about OAuth and OIDC Build a Flask app with OIDC authentication In this tutorial, you'll build a simple dashboard application and learn how to: Securely sign users in to view their profile information us ## What Is Web App and API Protection (WAAP)? | Harness DevFeed: [What Is Web App and API Protection (WAAP)? | Harness]() Original publisher: [Read original article]() Author: Michael Isbitski Published: 2026-07-23T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [web applications](), [API](), [Security](), [Cybersecurity](), [Testing](), [DDoS](), [Bot]() Tags: [api](), [api-security](), [bots](), [ci-cd](), [cybersecurity](), [ddos](), [security](), [testing](), [web-app]() ### AI overview This Harness article explains Web Application and API Protection (WAAP) as a unified approach to securing web applications and APIs. It describes combining API discovery, testing, runtime protection, bot and abuse protection, and cloud-scale WAF capabilities, with integration into software delivery workflows. ### Source excerpt Discover how Harness Web Application and API Protection (WAAP) unifies web app and API security, testing, and runtime protection. Protect your apps, start today | Blog ## Demystifying A2UI: How to Make AI Agents "Speak UI" in Your App DevFeed: [Demystifying A2UI: How to Make AI Agents "Speak UI" in Your App]() Original publisher: [Read original article]() Author: Devin Chasanoff Published: 2026-06-26T09:01:02Z Content type: tutorial Language: en Sources: [Angular]() Topics: [Protocol (disambiguation)](), [ui](), [Artificial Intelligence](), [Angular](), [Large Language Model](), [Web](), [web applications](), [Architecture & Design](), [Front end]() Tags: [a2a](), [a2ui](), [adk](), [agentic](), [agents](), [ai](), [ai-agents](), [angular](), [architecture](), [frontend](), [genuis](), [how-to](), [in-app-experiences](), [llm](), [protocol](), [ui](), [web](), [web-app]() ### AI overview This tutorial explains A2UI, a protocol that lets AI agents generate rich, interactive user interfaces for web, mobile, and desktop applications without executing arbitrary code. It presents a developer-oriented mental model covering the protocol's architecture, client-server communication, and rendering flexibility. ### Source excerpt I've spent a fair amount of time experimenting with A2UI, a protocol for building agentic interfaces. Why? Quite simply, because I think the idea of dynamically generating user interfaces is awesome, and despite the fact that this is a relatively new protocol (currently 1.0 RC), I wanted to answer a fundamental question: "How do I incorporate A2UI into my own app?" If you're new to working with generative UIs, it may be challenging to wrap your head around the core concepts. This post is my mental model for how everything works from a developer's implementation perspective so that you can start using it in your own applications. I'm incredibly excited about the future of web apps. So much so that last November, I hosted a livestream called Exploring the future of web apps during which I built my own framework for generating agentic web apps with Angular. A Quick Side Note: While the framework I built for that livestream isn't nearly as flexible or extensible (to use with other web frameworks, for example) as A2UI, the architectural patterns are very similar. If you're still struggling to understand the high-level concepts after reading the A2UI docs and this blog post, give that livestream a watch. The shared concepts will help make it click.What is A2UI? A2UI enables AI agents to generate rich, interactive user interfaces that render natively across web, mobile, and desktop -- without executing arbitrary code. This is exciting to me because A2UI enables: Seamless in-app experiences: Interfaces that adapt dynamically to user intent. Portable UIs: Views that can appear virtually anywhere, serving as a vital part of Gemini web app experiences. Protection: No arbitrary code execution. But to understand A2UI, you first have to understand what it isn't. It's not a framework; it's a protocol. The implications of this are massive. Because it's a protocol, using GenUI doesn't lock you into a single stack. It defines how an LLM agent and a client application communicate about ## Zero-flicker Firestore SSR with React DevFeed: [Zero-flicker Firestore SSR with React]() Original publisher: [Read original article]() Author: Jeff Huleatt Published: 2026-06-24T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firestore](), [Server-side rendering](), [React](), [Next.js](), [web applications]() Tags: [firebase](), [firestore](), [next-js](), [react](), [real-time](), [serialization](), [server-side-rendering](), [ssr](), [web](), [web-app]() ### AI overview This tutorial explains how to use Firebase JS SDK SSR-specific APIs to serialize Firestore query results on the server, resume them on the client, and support realtime updates in a Next.js and React application. It also discusses payload size and when serialization is unnecessary. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Six Live Kubernetes Recommendations: AKS, Cilium, Rate Limiting, and More DevFeed: [Six Live Kubernetes Recommendations: AKS, Cilium, Rate Limiting, and More]() Original publisher: [Read original article]() Author: Adam Gordon Bell Published: 2026-06-15T12:00:00Z Content type: tutorial Language: en Sources: [Pulumi]() Topics: [Kubernetes](), [Azure](), [C#](), [Cilium](), [Docker Hub](), [Web app]() Tags: [ai-coding](), [aks](), [azure](), [c-sharp](), [cilium](), [container-registry](), [dotnet](), [kubernetes](), [tutorials](), [web-app]() ### AI overview A writeup of a live workshop on building an AKS cluster, Azure Container Registry, and a random-cat web app in C# with Pulumi. It presents recommendations for working with Kubernetes on Azure, including choosing a language the team already uses, and describes how Docker Hub rate limiting affected the workshop. ### Source excerpt On June 10th, Engin and I ran a live workshop building an AKS cluster, an Azure Container Registry, and a random-cat web app from scratch in C#. This is the writeup, including the parts we didn't get to live. Since this post was published, Pulumi has added first-class support for HashiCorp Configuration Language (HCL). You can now write Pulumi programs in HCL directly, alongside general-purpose languages like TypeScript, Python, Go, and C#. To see how it works, see Pulumi HCL. Live demos keep you honest. On June 10th my AKS workshop went a little sideways. Partway through, Docker Hub rate-limited my image pull and we had to adapt the content on the fly. The original plan was to stand up an AKS cluster with Cilium, an Azure Container Registry with the cluster's pull permission wired in code, and a random-cat web app, then split the infrastructure from the workload into separate Pulumi stacks. Live, we didn't make it through all of that, but we had some fun tangents and it turned out to be a great session. So here are my six recommendations for working with Kubernetes on Azure from this recent workshop. 1. Pick the language your team already uses I opened the session by asking the room what language they prefer to work in, with one caveat from me: "Hopefully, it's not PowerShell because this is not in PowerShell." We got some C# answers and zero requests for PowerShell, which works out, because the whole workshop is in PowerShell C#. I chose C# because, first, I genuinely love the language. I spent the early part of my career as a C# developer, and on Azure it just makes sense. Second, an Azure workshop tends to draw a big turnout of C# devs, and if they aren't C# devs themselves, they often work somewhere the backend team uses C#. Pulumi lets you bring that language to your infrastructure rather than learn a new DSL. AI coding assistants also came up. LLMs have substantially more C# and Go in their training data than HCL or Bicep. As I put it live: "If you're working ## The Illusion of Perfect LLM Code DevFeed: [The Illusion of Perfect LLM Code]() Original publisher: [Read original article]() Published: 2026-06-01T00:59:21Z Content type: opinion Language: en Sources: [Ariya Hidayat]() Topics: [Large Language Model](), [Security](), [Web app](), [Authentication](), [Testing]() Tags: [authentication](), [developers](), [llm](), [security](), [testing](), [vulnerabilities](), [web-app]() ### AI overview The author compares several LLMs on implementing authentication for a web app and finds that they generally follow structured instructions well, while their ability to identify security flaws varies. The article argues that developers should independently review LLM-generated code and test its security before production deployment. ### Source excerpt I recently tested several different LLMs by tasking them with implementing a simple authentication feature for a web app. It is clear that almost all modern LLMs are now excellent at following a structured blueprint. However, the real differences appeared when looking under the hood at the security of the generated code. ## Live text search with Firestore pipelines and React DevFeed: [Live text search with Firestore pipelines and React]() Original publisher: [Read original article]() Author: Jeff Huleatt Published: 2026-05-28T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firestore](), [React](), [Firebase](), [web applications](), [TypeScript]() Tags: [firebase](), [firestore](), [full-text-search](), [javascript](), [react](), [typescript](), [web](), [web-app]() ### AI overview This tutorial explains how to implement text search in a React web app using Firestore Enterprise text indexes and pipelines. It covers a reusable search-results component, React Suspense with TanStack Query, search on form submission, and debounced live search. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Maestro CLI 2.6.0: introducing Maestro Viewer DevFeed: [Maestro CLI 2.6.0: introducing Maestro Viewer]() Original publisher: [Read original article]() Author: Manu Armani Published: 2026-05-25T09:00:00Z Content type: release Language: en Sources: [mobile.dev - Medium]() Topics: [Mobile](), [Artificial Intelligence](), [ai-coding](), [MCP](), [Single-page application (SPA)](), [web applications](), [Android](), [iOS]() Tags: [ai](), [ai-coding](), [android](), [concurrent](), [ios](), [maestro](), [mcp](), [mobile](), [parallel](), [parsing](), [release](), [validation](), [web-app]() ### AI overview Maestro CLI v2.6.0 introduces Maestro Viewer, a web app that embeds an iOS simulator, Android emulator, or physical device inside a coding agent or browser. The release also adds more reliable concurrent local iOS execution, removes the bundled web-based Maestro Studio and Rhino JavaScript engine, and improves parsing errors, output paths, and iOS XCTest log collection. ### Source excerpt Maestro CLI v2.6.0 ships Maestro Viewer: your coding agent now has a mobile device, live inside the agent. Plus faster iOS, cleaner output, and fixes. ## ESPHome 2026.5.0: Device Builder enters public beta DevFeed: [ESPHome 2026.5.0: Device Builder enters public beta]() Original publisher: [Read original article]() Author: Jesse Hills Published: 2026-05-20T00:00:00Z Content type: release Language: en Sources: [ESPHome - Smart Home Made Simple - Blog]() Topics: [esphome](), [Web app](), [configuration](), [toolchain](), [ESP32](), [Streaming](), [zigbee]() Tags: [configuration](), [esp-idf](), [esp32](), [esphome](), [feature](), [release](), [releases](), [streaming](), [toolchain](), [web-app](), [zigbee]() ### AI overview ESPHome 2026.5.0 launches the public beta of the ESPHome Device Builder, a web application that replaces the legacy dashboard with configuration editing, firmware job management, bulk actions, search, distributed builds, and settings. The release also reworks the main loop and watchdog, adds measured optimizations, introduces native ESP-IDF toolchain support alongside PlatformIO, modernizes audio decoding, expands OTA capabilities, and adds ESP32-based Zigbee and multi-room audio components. ### Source excerpt ESPHome 2026.5.0 launches the public beta of the new ESPHome Device Builder, reworks the main loop and watchdog, and modernizes the audio decoder pipeline. ## Firebase AI Logic adds server prompt template support for chat and function calling DevFeed: [Firebase AI Logic adds server prompt template support for chat and function calling]() Original publisher: [Read original article]() Author: Miguel Ramos Published: 2026-04-22T00:00:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Artificial Intelligence](), [Mobile](), [Web](), [SDK]() Tags: [ai](), [ai-logic](), [android](), [app-check](), [chat](), [cloud-next](), [firebase](), [firebase-ai-logic](), [firebase-console](), [flutter](), [function-calling](), [gemini](), [hybrid-inference](), [kotlin](), [prompt](), [sdk](), [security](), [server](), [web](), [web-app]() ### AI overview This Firebase blog post describes Cloud Next '26 updates to Firebase AI Logic. Server prompt templates now support multi-turn chat and function calling, keeping system instructions, model configuration, tool definitions, and function schemas on Firebase's servers while clients reference the template ID. ### Source excerpt What's new at Cloud Next '26 ## How Lovable Handles Billing: A Complete Breakdown DevFeed: [How Lovable Handles Billing: A Complete Breakdown]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-04-10T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [app builder](), [Vibe coding](), [Artificial Intelligence](), [Web app](), [React](), [cloud-infrastructure](), [Inference]() Tags: [ai](), [app-builder](), [billing](), [cloud](), [coding](), [developers](), [features](), [infrastructure](), [pricing](), [technical](), [vibe-coding](), [web-app]() ### AI overview This article explains Lovable's hybrid billing model: monthly message credits, daily bonus credits, and separate metered cloud infrastructure charges. It also reviews pricing tiers and outlines how to build a similar system with Dodo Payments. ### Source excerpt Detailed breakdown of Lovable's credit-based billing model. Covers pricing tiers, message credits, daily bonus drip, cloud metering, and how to build the same system with Dodo Payments. ## Testing A11y Using Cypress And wick-a11y Plugin DevFeed: [Testing A11y Using Cypress And wick-a11y Plugin]() Original publisher: [Read original article]() Author: Gleb Bahmutov Published: 2026-04-07T04:00:00Z Content type: tutorial Language: en Sources: [Gleb Bahmutov]() Topics: [Cypress](), [Accessibility](), [Testing](), [Web app](), [ci]() Tags: [a11y](), [accessibility](), [app](), [browser](), [ci](), [color](), [cypress](), [errors](), [html](), [install](), [plugin](), [products](), [reports](), [test](), [testing](), [tests](), [web-app]() ### AI overview A tutorial on adding accessibility testing to the Gametime web app with Cypress and the wick-a11y plugin. It covers plugin setup, checking for readable text, labeled inputs, landmarks, severity levels, and detailed HTML reports that can be saved as CI artifacts. ### Source excerpt I have a little web app called Gametime I use to keep track of players during youth socc ## How to Accept Payments in a Progressive Web App (PWA) DevFeed: [How to Accept Payments in a Progressive Web App (PWA)]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-03-30T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [PWA](), [web applications](), [Software as a service](), [Mobile]() Tags: [app-store](), [how-to](), [mobile](), [payment-processing](), [payments](), [pwa](), [saas](), [subscriptions](), [tax](), [web-app]() ### AI overview This guide explains how to add payment processing to a Progressive Web App using Dodo Payments. It covers web checkout, subscription states, and tax compliance for global SaaS distribution. ### Source excerpt Guide to adding payment processing to Progressive Web Apps. Avoid app store fees, use web checkout, and handle subscriptions with automatic tax compliance. ## How to Add a Paywall to Your AI-Generated App DevFeed: [How to Add a Paywall to Your AI-Generated App]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-03-22T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Vibe coding](), [Access Control](), [App](), [web applications](), [Software as a service]() Tags: [access-control](), [ai](), [ai-tools](), [api](), [how-to](), [payments](), [saas](), [vibe-coding](), [web-app]() ### AI overview A guide to adding a paywall to an AI-generated app using Dodo Payments. It explains checkout, entitlements, and access-control logic for converting a free app into a paid one without building billing infrastructure from scratch. ### Source excerpt Guide to adding payment gates and paywalls to apps built with AI tools. Use Dodo Payments for checkout integration, entitlements, and access control without building billing from scratch. ## Using cookies to hack into a tech college's admission system DevFeed: [Using cookies to hack into a tech college's admission system]() Original publisher: [Read original article]() Author: Eaton Published: 2026-03-09T13:41:25Z Content type: article Language: en Sources: [Eaton Works Feed]() Topics: [Security](), [Web app](), [API](), [Authentication](), [Vulnerabilities](), [JavaScript](), [HTTP]() Tags: [api](), [authentication](), [cookies](), [data](), [http](), [india](), [javascript](), [security](), [vulnerability](), [web](), [web-app]() ### AI overview The article describes how missing authentication on SKCET's admission APIs allowed manual cookie manipulation to bypass login and impersonate an admission officer. By discovering an officer GUID through student searches, the author accessed reports containing sensitive information about 4,110 students, including contact, address, Aadhaar, medical, demographic, academic, and income data. ### Source excerpt The Sri Krishna College of Engineering and Technology (SKCET) in India made elementary mistakes in web app security. ## 15,000+ Apps Built Over WhatsApp: Inside QwikBuild's Neon-Powered Architecture DevFeed: [15,000+ Apps Built Over WhatsApp: Inside QwikBuild's Neon-Powered Architecture]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-02-26T17:49:06Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [app builder](), [Artificial Intelligence](), [web applications](), [Drizzle](), [Hono](), [Deno](), [Python](), [TypeScript](), [Amazon Web Services](), [Database](), [Serverless](), [JavaScript]() Tags: [ai](), [app-builder](), [apps](), [architecture](), [aws](), [case-studies](), [coding](), [database](), [databases](), [drizzle](), [javascript](), [product](), [python](), [serverless](), [typescript](), [web-app](), [whatsapp]() ### AI overview This article examines QwikBuild, an AI web app builder launched on WhatsApp that has been used by more than 15,000 creators. It describes QwikBuild's architecture, including Python coordination, TypeScript-generated applications, isolated Postgres databases provisioned through Neon, Drizzle ORM, Hono, Deno, Twilio, and AWS infrastructure. The article explains how separate databases and Neon's independently scalable compute and storage support application isolation and low idle costs. ### Source excerpt "The biggest strength of Neon is how it decouples storage and compute and makes them independently scalable. When an app isn't being used, the compute node can be put in idle mode at extremely low cost, which lets us handle a wide range of scale and complexity without compromise.... ## Get a jump on ContribFest with the new web app DevFeed: [Get a jump on ContribFest with the new web app]() Original publisher: [Read original article]() Author: Elaine de Mattos Silva Bezerra, DB Systel GmbH, Heikki Hellgren, OP Financial Group & André Wanlin, Spotify Published: 2026-02-25T00:00:00Z Content type: news Language: en Sources: [Backstage Software Catalog and Developer Platform Blog]() Topics: [Backstage](), [Web app](), [web applications](), [Web]() Tags: [backstage](), [community](), [developer-experience](), [developer-portal](), [getting-started](), [idp](), [internal-developer-platform](), [open-source](), [platform-engineering](), [software-catalog](), [software-templates](), [techdocs](), [web](), [web-app]() ### AI overview Backstage announces a new ContribFest web app for the March 26, 2026 session at KubeCon + CloudNativeCon in Amsterdam. The app helps contributors set up a local environment, find curated issues, access contribution resources, and view past contributions and hosts. ### Source excerpt Get a jump on ContribFest with the new web app ## Check Every Box In Cypress Tests Without Flake DevFeed: [Check Every Box In Cypress Tests Without Flake]() Original publisher: [Read original article]() Author: Gleb Bahmutov Published: 2026-02-11T05:00:00Z Content type: tutorial Language: en Sources: [Gleb Bahmutov]() Topics: [Cypress](), [Testing](), [Web app]() Tags: [cypress](), [products](), [testing](), [tests](), [web-app]() ### AI overview A Cypress end-to-end test for completing all TodoMVC items can pass while backend updates are still missing because the application updates local state before sending PATCH requests. The article explains how to reduce this flakiness by waiting for the expected network calls or observing each call individually. ### Source excerpt Imagine you are testing a TodoMVC application, and you need to complete all items. You simply click every checkbox and confirm the applic ## Project Genie: Experimenting with infinite, interactive worlds DevFeed: [Project Genie: Experimenting with infinite, interactive worlds]() Original publisher: [Read original article]() Author: Diego Rivas Published: 2026-01-29T17:01:05Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [World models](), [Artificial Intelligence](), [Google AI](), [Simulation](), [Web app]() Tags: [3d](), [ai](), [experimental](), [google](), [google-ai](), [none](), [prototype](), [research](), [research-prototype](), [simulation](), [web](), [web-app](), [world-model]() ### AI overview Google is opening Project Genie to Google AI Ultra subscribers in the U.S. The experimental research prototype, powered by Genie 3, Nano Banana Pro and Gemini, lets users create, explore and remix interactive worlds. ### Source excerpt Google AI Ultra subscribers in the U.S. can try out Project Genie, an experimental research prototype that lets you create and explore worlds. 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