『JavaScript Jabber』のカバーアート

JavaScript Jabber

JavaScript Jabber

著者： Charles M Wood
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 Stay current on JavaScript, Node, and Front-End development. Learn from experts in programming, careers, and technology every week.

Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.Copyright Charles M Wood 出世 就職活動 経済学
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  • How to Use Web Components, Iframes, and Module Federation for Multi-Framework Apps - JSJ 689

    How to Use Web Components, Iframes, and Module Federation for Multi-Framework Apps - JSJ 689
    2025/09/02
    This week on JavaScript Jabber, we dive deep into the challenges and opportunities of mixing and matching frontend frameworks in modern applications. I’m joined by Dan Shapir, Steve Edwards, and our special guest Hadar Geva, CTO and co-founder of Myop.dev. Together, we explore how companies are tackling multi-framework environments, the role of web components and iframes, and why module federation isn’t always as simple as it sounds.

    We also take a closer look at how AI is changing the way developers and even non-developers generate code, the risks of integrating AI-written components, and strategies for safely managing that code in production. If you’ve ever struggled with legacy frameworks, integrating AI-generated components, or wondered whether web components or local iframes are the better fit—this episode is packed with insights you won’t want to miss.

    Links & Resources
    • Myop.dev – Hadar’s company, building solutions for mixing and managing micro-frontends.
    • Web Awesome – Web components library mentioned during picks.
    • AG Grid – Heavy-duty data grid solution.
    • TanStack Table – Lightweight table solution by Tanner Linsley.
    • ShadCN UI – Component library for modern React apps.


    Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
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    1 時間 18 分
  • Why We’re Building the Front End Wrong (and How to Fix It) - JSJ 688

    Why We’re Building the Front End Wrong (and How to Fix It) - JSJ 688
    2025/08/28
    In this episode of JavaScript Jabber, I sit down with Delaney Gilliland to dive into why most of us are building the front end wrong—and what a faster, leaner, and simpler alternative could look like. We explore his background in game development and military applications, which gave him a unique perspective on web performance and real-time data challenges. That perspective ultimately led him to create Datastar, a new framework designed to rethink the way we approach front-end development.

    We talk about the limitations of SPAs, the promise (and pitfalls) of tools like HTMX and Turbo, and how Datastar builds on web standards to deliver speed, efficiency, and simplicity without the baggage of heavy state management. Whether you’re curious about server-sent events, morphing strategies, or just want to see how front-end development could be done differently, this conversation will get you thinking about the future of the web.


    Links & Resources
    • Datastar official site
    • https://x.com/DelaneyGillilan
    • https://github.com/delaneyj


    Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
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    47 分
  • Vibe Coding: Building Faster with AI-Powered Development - JSJ 687

    Vibe Coding: Building Faster with AI-Powered Development - JSJ 687
    2025/08/22
    In this episode of JavaScript Jabber, we dive deep into the world of vibe coding—what it means, how it works in practice, and why it’s changing the way developers build software. I’m joined by Anthony Campolo, who shares his hands-on experience developing AutoShow, an app that automates podcast show notes, using AI-assisted workflows. We talk about how tools like Claude, ChatGPT, and Gemini accelerate development, the role of rule files, and the balance between automation and manual QA.

    Along the way, we explore the impact of LLMs on junior vs. senior developers, how companies are adapting AI-driven coding practices, and whether the future of software development still requires humans in the loop. This conversation blends real-world coding insights, practical tools, and some big-picture questions about where AI is taking the industry.

    Check out Anthony Campolo here.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
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    1 時間 11 分
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