Best of InterviewAugust 2023

  1. 1
    Article
    Avatar of quastorQuastor Daily·3y

    The Engineering behind Instagram's Recommendation Algorithm

    The Engineering behind Instagram’s Recommendation Algorithm Plus, 5 properties of healthy software projects. We’ll go through each of the layers in the system and talk about how they work. Instagram has over 500 million daily active users, so this means billions of recommendations have to be generated every day.

  2. 2
    Article
    Avatar of twirThis Week In React·3y

    This Week In React #156: Server Actions, Stale Closures, React Falls Behind, Expo Builds, Suspense Throttling, React-Aria, Natuerlich, Obsidiosaurus, Expo-SQLite, Expo DevTools...

    This Week In React #156: Server Actions, Stale Closures, React Falls Behind, Expo Builds, Suspense Throttling, React-Aria, Natuerlich, Obsidiosaurus, Expo-SQLite, Expo DevTools. This week, we've got many articles from the React and React-Native community.

  3. 3
    Article
    Avatar of twirThis Week In React·3y

    This Week In React #154: Server Components, Remix, Next.js, Redwood, Million, Lucia, ElementRef, Partially Controlled, SVG Sprites, NextUI, Storybook, Hermes, require.context...

    This Week in React #154: Server Components, Remix, Next.js, Redwood, Million, Lucia, ElementRef, Partially Controlled, SVG Sprites, NextUI, Storybook, Hermes, require.context. This video course covers what you need to know to scale efficiently whilst maintaining code quality.

  4. 4
    Article
    Avatar of newstackThe New Stack·3y

    Bram Moolenaar, Author of the Open Source Vim Code Editor, Has Died

    Bram Moolenaar, Author of the Open Source Vim Code Editor, has died after a brief illness. Vim was based on Unix’s Vi, a screen-oriented text editor created by Bill Joy that proved to be immensely popular.

  5. 5
    Article
    Avatar of communityCommunity Picks·3y

    ChatGPT Fails The Coding Interview

    ChatGPT Fails The Coding Interview - by Dmitri Brereton. ChatGPT can only solve 28% of LeetCode questions, and only 16% of mediums, and 0% of hards. It performs well on old, popular interview questions, but that’s a biased sample.