AI Briefing#nextjs
The latest AI and developer news about #nextjs, with the original source and a short summary.
The latest AI and developer news about #nextjs, with the original source and a short summary.
This introduces the organizational structure, tech stack, and working methods of Inflearn's Web Frontend Part.
By combining Monorepo and GitOps, the team unified everything from FE development to deployment on a container basis.
Inflearn built a system that dynamically generates and caches content-specific OG images using @vercel/og and a CDN.
The Oliveyoung frontend team explains the mocking issues they faced during their Next.js migration and the background behind adopting MSW.
Introduces how to implement efficient infinite scroll using React Query's useInfiniteQuery and Intersection Observer.
This shares the journey of a new developer who grew into a frontend developer through Oliveyoung's job transition program, 'Job Challenge.'
By applying Next.js's standalone option, Rallit reduced its Docker image size and shortened deployment time.
To lower the Git entry barrier for non-developers, we developed 'Sonic,' a sound resource delivery WebApp that combines S3 and Git.
The Kakao FE Platform team improved the performance score of the Order service from 20 to 90 by applying lazy image loading and windowing techniques.
This analyzes how the Next/image component operates, its caching mechanism, and why the Sharp library is recommended.
This introduces a case where a web app prototype was built using Replit Bounties in just 1 week for $600.
CORS errors occur due to missing CORS headers in GET Fetch requests caused by Chrome and Safari cache policies, which can be resolved by global imports or adding the crossorigin attribute.
Oliveyoung launched the Live section, improving performance and user experience by applying a new architecture.
Presents a 7-step procedure from Google Search Console registration to sitemaps, robots.txt, metadata, duplicate URL resolution, and performance optimization.
Kurly broke away from its legacy system through the Next.js-based 'NX' project, improving the product detail page's LCP from 3.4 seconds to 1.5 seconds.
Total home image size decreased from 25MB to 589KB, and page load time was reduced from 1.11s to 386ms.
Replit built its own native search engine that quickly finds content among over 100 million Repls and code, and has rolled it out to all users.
It covers how to build a file upload-based Speech-to-Text app using the AssemblyAI API, Next.js, and Replit.
Actual test results confirmed build speed improvements ranging from 20% to 74%, depending on project scale and environment.
A Banksalad EM shared experiences and reflections on priority setting, technology adoption, and collaboration methods encountered during the MyData project.
Kakao Webtoon revealed frontend optimization cases that improved TPS and response times by tens of times through SSR caching, and enhanced user experience via loading shimmer and passive event listeners.
The Kakao Entertainment FE development team applied 12-Factor App principles to Next.js services, reducing deployment time from 15 minutes to 1 minute and implementing request-level log tracing using async_hooks.
Replit has introduced **Preboot** technology that pre-launches containers to speed up React framework development environments.
Repl.it now supports full-stack app development and deployment using React frameworks such as Next.js and GatsbyJS.