# frontend Published articles for frontend. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Using static analysis in Python, JavaScript and more to make your system safer DevFeed: [Using static analysis in Python, JavaScript and more to make your system safer]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-07-26T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [JavaScript](), [Code quality](), [Python](), [Code review](), [Web Development](), [React]() Tags: [analysis](), [best-practices](), [code](), [code-quality](), [engineering](), [eslint](), [formatting](), [frontend](), [infrastructure](), [javascript](), [lint](), [news](), [python]() ### AI overview This article describes how Khan Academy uses custom linters and static analysis across JavaScript, Python, and Kotlin to prevent known bad patterns, keep duplicated logic or shared interfaces synchronized, and enforce frontend migration practices. ### Source excerpt By Kevin Dangoor "Linting" source code to look for errors is nothing new (the original "lint" tool turned ... Read more ## Babel in Khan Academy's i18n Toolchain DevFeed: [Babel in Khan Academy's i18n Toolchain]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-06-22T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Babel](), [Internationalization (i18n)](), [toolchain](), [es6](), [JavaScript](), [Parser](), [Universal Syntax Tree.](), [Open Source]() Tags: [api](), [architecture](), [babel](), [build](), [build-system](), [code](), [engineering](), [es6](), [eslint](), [frontend](), [javascript](), [news](), [plugin](), [source](), [structure](), [syntax](), [tests](), [toolchain](), [types](), [web-frontend](), [workflow]() ### AI overview Khan Academy describes switching its ES6 and JSX frontend compilation from jstransform to Babel. The article explains a custom Babel plugin for preserving the project's internationalization behavior and discusses matching generated output, line numbers, whitespace, and the existing build chain. ### Source excerpt By Kevin Barabash We've been using ES6 (along with JSX) for sometime at Khan Academy. Right now, we're ... Read more ## Interning at Khan Academy: from student to intern DevFeed: [Interning at Khan Academy: from student to intern]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-12-12T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Mobile](), [Front end](), [React](), [JavaScript](), [es6](), [User Experience](), [Scala]() Tags: [bugs](), [engineering](), [es6](), [features](), [frontend](), [intern](), [javascript](), [mobile](), [news](), [open-source](), [react](), [student](), [user-experience](), [web-frontend]() ### AI overview A student intern describes two months working on Khan Academy's X-on-Mobile initiative. The article covers improving a mobile math keypad, fixing gesture-related bugs, adding interface features, learning idiomatic ES6 with React in production, and working with open-source libraries. ### Source excerpt By Shadaj Laddad This past summer I had the amazing opportunity to work on a product I use ... Read more ## tota11y - an accessibility visualization toolkit DevFeed: [tota11y - an accessibility visualization toolkit]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-06-08T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Accessibility](), [audit](), [Testing](), [Tooling](), [browser](), [Chrome]() Tags: [accessibility](), [accessibility-testing](), [audit](), [browser](), [chrome](), [developer-tools](), [engineering](), [frontend](), [linter](), [news](), [testing](), [tests](), [tooling](), [unit-tests](), [visualization](), [web](), [web-frontend]() ### AI overview Khan Academy announces tota11y, an accessibility visualization toolkit designed to make manual accessibility testing easier for developers. The article describes its development and use of browser-based annotations to help teams understand and fix accessibility issues. ### Source excerpt By Jordan Scales Today we're releasing tota11y (on GitHub), an accessibility visualization toolkit that aims to reduce the ... Read more ## AI Agents in 2026 DevFeed: [AI Agents in 2026]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-13T09:23:56Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Artificial Intelligence]() Tags: [agents](), [ai](), [ai-agents](), [ai-agents-ai-business-agents-ideas](), [ai-agents-in-2026-why-every-founder-s-stack-just-changed-for-good](), [backend](), [blockchain](), [business-agents](), [coding](), [development](), [frontend](), [ideas](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [typescript](), [web-development]() ### AI overview The author revisits an earlier post that called AI agents "the next big thing," arguing that by September 2026 this no longer needs to be argued. ### Source excerpt Hey there!A while back, I wrote a short post calling AI agents "the next big thing." It's September 2026 now, and I don't need to convince anyone of that anymo... ## Company's Building AI Agent Sandbox SDKs & APIs DevFeed: [Company's Building AI Agent Sandbox SDKs & APIs]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-12T13:15:15Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [AI Agent](), [SDKs](), [Artificial Intelligence](), [Development]() Tags: [ai](), [ai-agent](), [ai-sandboxes](), [ai-sandboxes-vercel-aws-google-daytona](), [apis](), [aws](), [backend](), [blockchain](), [coding](), [company-s-building-ai-agent-sandbox-sdks-apis](), [daytona](), [developer](), [development](), [frontend](), [google](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [sdks](), [typescript](), [vercel](), [web-development]() ### AI overview An opinion article discusses companies building AI agent sandboxes, SDKs, and APIs, in the context of an ongoing competition around AI sandboxes. ### Source excerpt Company's Building AI Agent Sandbox SDKs & APIs I wrote about the fight for AI sandboxes back in March -- the short version was that every AI agent that wri... ## Building EasyReply: How We Used Laravel to Unify Customer Support DevFeed: [Building EasyReply: How We Used Laravel to Unify Customer Support]() Original publisher: [Read original article]() Author: Emma Blake Published: 2026-09-11T16:06:51Z Content type: article Language: en Sources: [Laravel]() Topics: [Laravel](), [Support](), [Artificial Intelligence](), [React](), [WebSocket](), [PHP](), [Single-page application (SPA)](), [email](), [Front end](), [Instagram]() Tags: [ai](), [api](), [development](), [email](), [frontend](), [instagram](), [laravel](), [queue](), [react](), [sponsor](), [support](), [ui](), [websocket]() ### AI overview This article explains how EasyReply uses Laravel to combine email, Slack, Instagram, and WhatsApp conversations in an AI-powered shared inbox. It describes Laravel Reverb for real-time updates, Inertia and React for the frontend, and queues for background processing. ### Source excerpt EasyReply pulls email, Slack, Instagram, and WhatsApp into one AI shared inbox, built on Laravel with Reverb, Inertia, React, and queues. The post Building EasyReply: How We Used Laravel to Unify Customer Support appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox. ## FastAPI frontends and static files served from the CDN DevFeed: [FastAPI frontends and static files served from the CDN]() Original publisher: [Read original article]() Author: Daniel Park Published: 2026-09-10T17:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [FastAPI](), [Vercel](), [Front end](), [mount]() Tags: [cdn](), [frontend](), [mount](), [tool](), [vercel]() ### AI overview Vercel now promotes FastAPI frontends and static files served through app.frontend() or StaticFiles to the Vercel CDN at build time, allowing matching requests to bypass Vercel Functions. Route precedence is preserved, while dependency-protected frontends and middleware-protected static files remain on the function unless configured otherwise. ### Source excerpt FastAPI frontends and static files, served with app.frontend() or StaticFiles, are now promoted to the Vercel CDN at build time. Requests for those paths are served directly from the CDN, without invoking your Vercel Function. FastAPI evaluates routes in declaration order. A route declared before a StaticFiles mount takes priority over any CDN file at that path. This precedence is preserved. Promoted source directories remain in the function bundle so the app can read from them at runtime. To exclude them and serve only from the CDN, set tool.vercel.fastapi.static.exclude = true in pyproject.toml. Frontends guarded by dependencies are kept on the function as the CDN cannot run dependency checks. Similarly, static files which sit behind middleware are also kept on the function. To override this and always promote to CDN, set tool.vercel.fastapi.static.cdn = true. To opt out of the CDN entirely, set it to false instead. For more information see the Vercel FastAPI documentation. Read more ## How to Get Free Traffic to Your Website in 2026: The Complete Free-to-Paid Growth Playbook DevFeed: [How to Get Free Traffic to Your Website in 2026: The Complete Free-to-Paid Growth Playbook]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-10T12:46:02Z Content type: tutorial Language: en Sources: [iHateReading]() Topics: [Website](), [Software as a service]() Tags: [2026](), [backend](), [blockchain](), [coding](), [development](), [founders](), [frontend](), [growth](), [guide](), [how-to](), [how-to-get-free-traffic-to-your-website-in-2026-the-complete-free-to-paid-growth-playbook](), [ihatereading](), [javascript](), [marketing](), [node-js](), [product](), [programming](), [react](), [seo](), [seo-traffic-growth-founders-marketing](), [traffic](), [typescript](), [web-development](), [website]() ### AI overview A guide to getting free website traffic in 2026 and moving from free acquisition methods toward paid growth. ### Source excerpt ree SaaS directories to submit for free 2026, Reddit marketing for startups without ads, Hacker News Show HN launch guide, Dev.to article distribution for deve... ## Using 10 Claude Skills to Run an Online Content Website DevFeed: [Using 10 Claude Skills to Run an Online Content Website]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-09T10:43:29Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Claude](), [Website]() Tags: [ai](), [backend](), [blockchain](), [claude](), [claude-skills](), [coding](), [development](), [founderos](), [founderos-claude-claude-skills-gpt-ai](), [frontend](), [gpt](), [i-gave-claude-10-plus-saas-growth-skills-and-let-it-run-my-own-platform](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [skills](), [typescript](), [web-development]() ### AI overview The article describes using 10 Claude Skills to run an online content website. ### Source excerpt Run entire online content website using 10 Claude Skills ## What's new in Swift: August 2026 Edition DevFeed: [What's new in Swift: August 2026 Edition]() Original publisher: [Read original article]() Author: Dave Lester Published: 2026-09-04T16:30:00Z Content type: news Language: en Sources: [Swift.org]() Topics: [modern web development](), [Vapor](), [Back end]() Tags: [backend](), [cloudflare](), [demo](), [frontend](), [swift](), [wasm](), [webassembly]() ### AI overview A Swift community update highlights Elementary and ElementaryUI, projects for server-rendered and browser-based web UIs. It also describes Swift-to-WebAssembly progress and a Cloudflare full-stack demo using shared message types. ### Source excerpt Welcome to "What's new in Swift," a curated digest of releases, videos, and discussions in the Swift project and community. Here's an update from guest contributor Simon Leeb on Swift's progress as a language for web scenarios: Hi, Simon here! I am the creator of the elementary-swift project, a collection of packages born from a simple wish: I want to build web UIs in Swift and ultimately help Swift become a first-class choice for the web. This journey began after I started using Swift for backend services. The web frontend, however, still lived in a separate ecosystem, and I really wanted it to feel as ergonomic, safe, and efficient as the Swift I was writing everywhere else. That led to the creation of Elementary: a modern and efficient HTML rendering library with a familiar declarative API, built for the web. It integrates easily with frameworks like Vapor and Hummingbird, and has become a practical option for server-rendered web UIs. Around that same time, years of community work in the swift-wasm project made compiling Swift to WebAssembly increasingly viable, while Embedded Swift was taking its first experimental steps. This made me wonder: "How hard can it be to use Embedded Swift and build a state-driven web UI framework that produces tiny WebAssembly binaries?" Turns out: quite hard, actually! But it was too late. Despite my better judgment, I was in the middle of creating what is now known as ElementaryUI. Where Elementary renders HTML on the server, ElementaryUI runs in the browser itself. You can watch my talk at Swift@FOSDEM 2026 if you want to know more about the why, what, and how. To showcase where the project is heading, I recently posted a small Full-Stack Swift on Cloudflare demo. It features Swift in the browser communicating with a Swift backend on an edge worker through shared message types. I hope it gives people a concrete sense of how much the core technologies and the surrounding tooling have advanced. ElementaryUI is still young, with plen ## Catching Salesforce Custom Field Drift With the Postman AI Engineer DevFeed: [Catching Salesforce Custom Field Drift With the Postman AI Engineer]() Original publisher: [Read original article]() Author: Talia Kohan Published: 2026-09-03T16:00:00Z Content type: article Language: en Sources: [Postman Blog]() Topics: [Postman](), [Claude](), [Automation](), [API](), [Front end](), [OpenAPI Specification](), [GitHub](), [Back end](), [Pull Request](), [payload](), [Slack]() Tags: [ai](), [ai-automation](), [api](), [api-drift](), [backend](), [code](), [frontend](), [general](), [github](), [payload](), [postman-agent-mode](), [pull-request](), [salesforce](), [slack]() ### AI overview This Postman Blog article explains how a Salesforce custom field caused drift between an API collection, frontend code, and an OpenAPI specification. It describes using the Postman AI Engineer to diagnose the failing request and Postman AI Automation to update the affected artifacts and add tests through a GitHub pull request. ### Source excerpt A Salesforce custom field broke my app. See how Postman Agent Mode found the drift and how a Skill kept it from happening again. The post Catching Salesforce Custom Field Drift With the Postman AI Engineer appeared first on Postman Blog. ## Checks for safer review of rapidly generated TypeScript and React frontend code DevFeed: [Checks for safer review of rapidly generated TypeScript and React frontend code]() Original publisher: [Read original article]() Author: Travis Turner (richardturner@evilmartians.com) Published: 2026-09-01T00:00:00Z Content type: tutorial Language: en Sources: [Evil Martians]() Topics: [Front end](), [React](), [TypeScript](), [Artificial Intelligence](), [OpenAPI Specification](), [API](), [mutation-testing](), [Testing](), [Code]() Tags: [agent-experience](), [agentic-development](), [agents](), [ai](), [api](), [code](), [continuous-integration](), [dx](), [frontend](), [llms](), [mutation-testing](), [openapi](), [react](), [testing](), [typescript]() ### AI overview This article presents ten checks for making rapidly generated TypeScript and React frontend code safer to trust and cheaper to review. It covers API contracts, generated types, boundary validation, mutation testing, dead-code detection, and mandatory checks. ### Source excerpt Ten checks that catch what AI-written frontend code hides: contract codegen, boundary linting, mutation testing, and dead-code detectors. ## Building an AI-automated Reddit trend scraper with Honojs, OpenRouter, and Scrapefast DevFeed: [Building an AI-automated Reddit trend scraper with Honojs, OpenRouter, and Scrapefast]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-08-29T02:47:02Z Content type: tutorial Language: en Sources: [iHateReading]() Topics: [Artificial Intelligence](), [Hono](), [Development]() Tags: [ai](), [ai-agent](), [ai-automated-reddit-trend-scraper-that-saved-us-1000-month-on-content-creation](), [api](), [automated](), [backend](), [blockchain](), [coding](), [development](), [frontend](), [honojs](), [ihatereading](), [javascript](), [node-js](), [openrouter](), [product](), [programming](), [react](), [reddit](), [reddit-scraper-api-web-scraping-ai-agent](), [scrapefast](), [scraper](), [typescript](), [web-development](), [web-scraping]() ### AI overview A developer walkthrough of building an AI-automated Reddit trend scraper with Honojs, OpenRouter, and Scrapefast. ### Source excerpt Using Honojs, OpenRouter and Scrapefast, how we built one on our own ## Reduce sensitive data exposure with build-time allowlists DevFeed: [Reduce sensitive data exposure with build-time allowlists]() Original publisher: [Read original article]() Author: Congyao Zheng; Rick Klein; Seth Fowler Published: 2026-08-28T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [real user monitoring](), [SDKs](), [Web Development]() Tags: [browser](), [digital-experience-monitoring](), [frontend](), [instrumentation](), [javascript](), [privacy](), [real-user-monitoring](), [rust](), [session-replay]() ### AI overview Datadog explains build-time allowlists for RUM action names. A plugin extracts static text from compiled artifacts so the Browser SDK can preserve readable static labels while masking runtime-generated text that may be sensitive. ### Source excerpt Learn how build-time allowlists preserve useful RUM action names while reducing the risk of exposing runtime-generated sensitive data. ## Test your custom elements and trust the results with Axe-core's support for ElementInternals DevFeed: [Test your custom elements and trust the results with Axe-core's support for ElementInternals]() Original publisher: [Read original article]() Author: Wilco Fiers Published: 2026-08-27T13:21:18Z Content type: article Language: en Sources: [Deque]() Topics: [Accessibility](), [axe-core](), [interoperability](), [Front end](), [browser](), [Angular](), [React](), [Vue.js](), [aria]() Tags: [a11y-for-developers](), [accessibility](), [angular](), [aria](), [axe-core](), [browser](), [compliance](), [frontend](), [interoperability](), [react](), [testing](), [vue](), [web-accessibility]() ### AI overview The article explains how custom elements and ElementInternals can standardize components across React, Angular, and Vue while allowing components to declare accessibility semantics. It highlights axe-core support for ElementInternals, enabling teams to test accessibility consistently across framework implementations and support compliance at enterprise scale. ### Source excerpt If you're a large enterprise organization with accessibility issues resulting from interoperability challenges, moving to ElementInternals is a savvy move. You can standardize, and safely test. And, with Axe-core now supporting ElementInternals, you can test those components and trust the results. The post Test your custom elements and trust the results with Axe-core's support for ElementInternals appeared first on Deque. ## How loveholidays is making everyone a builder with Codex DevFeed: [How loveholidays is making everyone a builder with Codex]() Original publisher: [Read original article]() Published: 2026-08-26T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [codex](), [OpenAI](), [AI Development](), [Code](), [Software Engineering](), [Deployment](), [Front end]() Tags: [ai](), [building](), [code](), [codex](), [deployment](), [frontend](), [openai](), [software-development]() ### AI overview loveholidays uses OpenAI Codex to broaden software development beyond engineering, enabling product, design, and commercial teams to contribute code, infrastructure changes, experiments, and deployments. The article highlights growth in AI-assisted code changes and deployment frequency, alongside improvements to its Data Platform and the creation of Search Playground. ### Source excerpt Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster. ## From Concept to Restaurant Pilot in Under a Year DevFeed: [From Concept to Restaurant Pilot in Under a Year]() Original publisher: [Read original article]() Author: Global Technology Published: 2026-08-25T17:13:54Z Content type: article Language: en Sources: [McDonald's Technical Blog - Medium]() Topics: [User experience (UX)](), [User interface design](), [Usability](), [Front end](), [Testing]() Tags: [collaboration](), [digital-transformation](), [frontend](), [innovation](), [product-development](), [prototyping](), [testing](), [usability](), [user-research](), [ux](), [ux-design]() ### AI overview The article describes how McDonald's used user research, rapid prototyping, cross-functional collaboration, and real-world testing to develop Sesame UX and move it from concept to a live restaurant pilot in under a year. The work addressed crew needs, operational complexity, and business priorities for the company's global POS system. ### Source excerpt How McDonald's combined user research, rapid prototyping, and cross-functional collaboration to bring Sesame UX from idea to reality. by: Ryan Bush, Sr Manager, UX Design & Kartik Patel, Software Engineer II Quick Bytes Bringing a new Point-of-Sale (POS) experience to life at McDonald's scale required balancing crew needs, operational complexity, and business priorities Research, prototyping, and real-world testing showed a new approach could improve speed, accuracy, and usability for crew members Sesame UX moved from concept to a live restaurant pilot in under a year, demonstrating measurable improvements and a new approach to innovation at scale Creating meaningful change at the scale of McDonald's means navigating deeply entrenched operational practices, specialized technology, and market-specific requirements. Any new idea must not only solve a meaningful problem but also demonstrate value that resonates across a broad and diverse set of stakeholders. Driving transformative innovation in an organization at this scale requires building shared alignment around the root problem, the opportunity it presents, and the value a proposed solution can create. It also requires using cost-efficient methods to prove to stakeholders the undeniable value of the change, along with a team of determined individuals who can get creative and who aren't deterred by obstacles or setbacks. McDonald's global Point-of-Sale (POS) system, Sesame, is actively used by over one million crew members worldwide. Markets, Owner/Operators, and managers have invested significant time and resources in training crew members to use the system, and thousands of crew members have mastered the POS experience. With this level of scale and investment, how could an organization evolve the frontend POS experience while building on the strengths of an already proven platform? How could the benefits outweigh the cost of the change? Building on a foundation used by millions The Sesame platform has evolved over ## The Cloudflare Blog -- brought to you by EmDash DevFeed: [The Cloudflare Blog -- brought to you by EmDash]() Original publisher: [Read original article]() Author: Amy Dutton Published: 2026-08-24T19:00:00Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [EmDash](), [Content Management System](), [migration](), [Astro](), [Cloudflare](), [Usability](), [Front end]() Tags: [astro](), [cloudflare](), [cloudflare-workers](), [content](), [developer-platform](), [developers](), [emdash](), [engineering](), [frontend](), [infrastructure](), [migration](), [performance](), [usability]() ### AI overview Cloudflare describes migrating its blog to EmDash, a CMS built for Astro and Cloudflare. The article covers the Customer Zero approach, migration lessons, usability testing, scalability, production validation, and frontend improvements including dark mode. ### Source excerpt We migrated the Cloudflare Blog to EmDash to prove our stack at massive scale. Here is how we stress-tested performance, safely routed production traffic, and redesigned the frontend experience. ## One company paid $14000 to a simple bidding app DevFeed: [One company paid $14000 to a simple bidding app]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-08-23T05:56:11Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Vibe coding]() Tags: [backend](), [bidding](), [bidding-trending-story-indie-hacker-frontend-buildsaas](), [blockchain](), [buildsaas](), [coding](), [development](), [frontend](), [ihatereading](), [indie-hacker](), [javascript](), [node-js](), [one-company-paid-14000-to-a-simple-bidding-app](), [product](), [programming](), [react](), [story](), [trending-story](), [typescript](), [vibe-coding](), [web-development]() ### AI overview A story about an overnight success attributed to vibe coding, centered on one company paying $14,000 for a simple bidding app. ### Source excerpt The story of overnight success via vibe coding by Jonathan Wilke ## Vercel Python Queues SDK is now available in beta DevFeed: [Vercel Python Queues SDK is now available in beta]() Original publisher: [Read original article]() Author: Nik Sidnev Published: 2026-08-19T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [SDKs]() Tags: [api](), [backend](), [frontend](), [javascript](), [next-js](), [python](), [vercel]() ### AI overview Vercel released a beta Python SDK for Vercel Queues, enabling Python and JavaScript services to publish and consume background-work messages across runtimes. ### Source excerpt The Python SDK for Vercel Queues is now available in beta, bringing first-class Python support for running background workloads on Vercel. You publish messages to topics, and independent consumer groups process them in parallel with automatic retries, sharding, and delivery guarantees. Messages can be enqueued or consumed from either JavaScript or Python, meaning a Next.js producer can fan out to both Next.js and Python queue consumers. Publish a message from your Python API: Publish a message from a frontend route handler: Create a subscriber: Opt project into receiving queue message deliveries: Configure cross-runtime consumers: The following configuration allows you to compose a frontend and a backend within a single Vercel project, allowing you to enqueue messages from one service and consume them from another or fan out to multiple. Get started with pip install vercel or visit the Python SDK reference documentation. Read more ## Asana cleared 5 years of engineering work in 2 weeks with Codex DevFeed: [Asana cleared 5 years of engineering work in 2 weeks with Codex]() Original publisher: [Read original article]() Published: 2026-08-18T07:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [codex](), [AI-assisted coding](), [migration](), [OpenAI](), [Front end](), [Software]() Tags: [agents](), [ai](), [ai-agents](), [code](), [codex](), [coding](), [cost](), [engineering](), [frontend](), [migration](), [openai](), [software]() ### AI overview Asana used OpenAI Codex and up to four parallel coding agents to remove the outdated Enzyme testing system from its frontend stack in two weeks. The work cost about $12,000 in model and infrastructure expenses, compared with an estimated $6 million for the previous staffing plan. ### Source excerpt Asana used OpenAI Codex to replace an outdated testing system in two weeks, completing work expected to take five years for about $12K. ## Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS DevFeed: [Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS]() Original publisher: [Read original article]() Author: Nuno Loureiro; Luis Grangeia Published: 2026-08-10T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Security](), [Vulnerabilities](), [Authorization](), [Software as a service](), [Microservice](), [Microservices](), [Front end](), [API](), [App](), [Artificial Intelligence](), [Trustworthy AI]() Tags: [agent](), [ai](), [api](), [application-security](), [applications](), [attacks](), [autonomous](), [awareness](), [blog](), [customer](), [customer-featured](), [cybersecurity](), [devops](), [enterprise](), [frontend](), [interest](), [microservices](), [saas](), [security](), [vulnerabilities](), [vulnerability-insights](), [web]() ### AI overview Evo Continuous Offensive Security (COS) is presented as an autonomous offensive-security system combining AI pentesting, agent red teaming, and dynamic testing. The article reports a real assessment of a multi-tenant enterprise SaaS application that uncovered 33 confirmed vulnerabilities, including tenant-wide compromise and critical authorization flaws. ### Source excerpt A real Evo Continuous Offensive Security assessment uncovered 33 confirmed vulnerabilities in a multi-tenant enterprise SaaS, including tenant-wide compromise and critical authorization flaws. ## Find, analyze, and collaborate on user sessions in Datadog Session Replay DevFeed: [Find, analyze, and collaborate on user sessions in Datadog Session Replay]() Original publisher: [Read original article]() Author: Stella Ma; Abhi Motgi Published: 2026-08-06T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [session replay](), [real user monitoring](), [Artificial Intelligence](), [Front end](), [browser](), [Operating system]() Tags: [ai](), [browser](), [collaboration](), [digital-experience-monitoring](), [frontend](), [product-analytics](), [real-user-monitoring](), [session-replay]() ### AI overview Datadog Session Replay brings session discovery, AI-assisted investigation, and timestamped team comments into one workspace. Teams can find relevant replays through RUM or Product Analytics, identify important moments, and share findings with context attached. ### Source excerpt See how Datadog Session Replay unites session discovery, AI analysis, and team collaboration in a single workspace. [Next page]()