JavaScript Jabber

Charles M Wood

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.

  1. Mongoose 9, AI-Powered Database Tools & the Future of Server-Side JavaScript with Val Karpov - JSJ 703

    25 ફેબ્રુ

    Mongoose 9, AI-Powered Database Tools & the Future of Server-Side JavaScript with Val Karpov - JSJ 703

    This week on JavaScript Jabber, we’re joined (again!) by Val Karpov — the maintainer of Mongoose — to talk about what’s new in Mongoose 9, how async stack traces are changing the debugging game, and why AI is quietly reshaping the way we build developer tools. We dig into stricter TypeScript support, the removal of callback-based middleware, and what it really takes to modernize a massive codebase. Then we shift gears into Mongoose Studio, a schema-aware, AI-enhanced MongoDB GUI that brings streaming query results, map visualizations, and even LLM-powered document generation into your workflow. If you’ve ever wrestled with debugging database issues or squinting at raw JSON, this episode will get your wheels turning. We also explore Cassandra integration, vector search, Bun vs. Deno, and what AI means for the future of software engineering. There’s a lot here — especially if you’re working in Node.js, MongoDB, or building backend-heavy JavaScript apps. 🔗 Links & ResourcesMongoose – https://mongoosejs.comMongoose Studio – https://mongooseStudio.appElysiaJS – https://elysiajs.comTodoist – https://todoist.comKent C. Dodds – https://kentcdodds.comhttps://epicai.prohttps://epicweb.devhttps://epicreact.devMasteringJS – https://masteringjs.io Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    57 મિ૰
  2. Node.js Performance, Kubernetes, and Why “Fast” Isn’t Always Fast - JSJ 702

    10 ફેબ્રુ

    Node.js Performance, Kubernetes, and Why “Fast” Isn’t Always Fast - JSJ 702

    In this episode of JavaScript Jabber, I sat down with Matteo Collina—chair of the Node.js project and founder of Platformatic—for a deep, no-fluff conversation about Node.js performance in the real world. We dug into what actually happens when you run Node at scale, especially with server-side rendering, Kubernetes, and modern frameworks like Next.js. We also challenged some popular assumptions—like whether newer runtimes automatically mean better performance—and explored how benchmarking, flame graphs, and smarter scheduling can completely change the reliability of production systems. If you’re running Node in Kubernetes, doing SSR, or trying to squeeze more performance out of your backend, this episode will definitely make you rethink your stack. Links & ResourcesPlatformatic – https://platformatic.devWatt Application Server (WattPM) – https://www.npmjs.com/package/wattpmNode.js Core Web Vitals (CrUX Dataset) – https://developer.chrome.com/docs/cruxMatteo Collina on X (Twitter) – https://twitter.com/matteocollinaNodeLand Newsletter – https://nodeland.dev Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    1ક૰ 20મિ૰
  3. TanStack Start, AI, and the Future of Frontend Architecture - JSJ 701

    30 જાન્યુ

    TanStack Start, AI, and the Future of Frontend Architecture - JSJ 701

    It’s great to be back behind the mic! In this episode of JavaScript Jabber, I’m joined by Dan Shapir and our guest Jack Harrington from Netlify and TanStack for a wide-ranging, high-energy conversation that covers everything from modern frontend architecture to AI tooling—and a few entertaining detours along the way. We dig into what’s new and exciting in the TanStack ecosystem, including TanStack Start and TanStack AI, and explore how these tools rethink the balance between frontend-first development and server-side capabilities. Along the way, we unpack React Server Components, AI SDKs, agentic workflows, and how developers can realistically use AI today without losing their minds—or their context windows. Links & ResourcesTanStack – https://tanstack.comTanStack Start – https://tanstack.com/startTanStack AI – https://tanstack.com/aiNetlify – https://www.netlify.com Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    1ક૰ 13મિ૰
  4. What’s New in React 19.2: Compiler, Activity, and the Future of Async React - JSJ 700

    8 જાન્યુ

    What’s New in React 19.2: Compiler, Activity, and the Future of Async React - JSJ 700

    In this episode of JavaScript Jabber, I sat down with Shruti Kapoor, independent content creator and longtime React educator, to dig into what’s actually new — and worth getting excited about — in React 19.2. While it may sound like a “minor” release on paper, this update delivers some genuinely powerful improvements that can change how we build and reason about React apps. We talked through React Compiler finally becoming stable, how the new Activity component can dramatically simplify state management and UX, what View Transitions mean for animations, and why new tooling like Performance Tracks in Chrome DevTools is such a big deal for debugging. If you care about performance, async React, or writing less code with better results, this one’s for you. Links & Resources Shruti Kapoor’s YouTube Channel (React, AI, Web Dev): 👉 https://www.youtube.com/@shrutikapoor08React 19 & 19.2 Documentation: 👉 https://react.devCodeRabbit (AI Code Review Tool): 👉 https://coderabbit.ai Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    1ક૰ 16મિ૰
  5. Can You Really Trust AI-Generated Code? - JSJ 699

    24/12/2025

    Can You Really Trust AI-Generated Code? - JSJ 699

    AI is writing more of our code than ever before—but should we actually trust it? In this episode of JavaScript Jabber, I sat down with Itamar Friedman from Qodo (formerly Quoto) to dig into one of the biggest questions developers are wrestling with right now: What happens when AI is generating code, reviewing code, and shaping how we ship software? We explore where AI fits into modern code review, whether developers should be worried about job security, and how human responsibility still plays a critical role—even in an AI-powered workflow. From guardrails and quality standards to the future of agent-driven development, this conversation goes beyond hype and gets into what’s actually working today (and what still needs a human in the loop). AI isn’t replacing developers—it’s changing how we build, review, and take ownership of software. If you enjoyed this conversation, make sure to rate, follow, share, and review JavaScript Jabber. It really helps the show, and it helps more developers join the conversation. Thanks for listening—and we’ll see you next time! Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    47 મિ૰
  6. The Real State of Tech Hiring: AI, Ghosting, and the Developer Drought - JSJ 698

    10/12/2025

    The Real State of Tech Hiring: AI, Ghosting, and the Developer Drought - JSJ 698

    In this episode of JavaScript Jabber, Steve Edwards and I kick things off by catching up on life — from winter weather and marathon training to health journeys, CrossFit, and some behind-the-scenes personal stories that shaped how we think about wellness and longevity. After warming up, we shift our focus to the state of the tech job market, something both of us have been watching closely and experiencing firsthand. We dive into the challenges developers are facing today — especially juniors — and compare our hiring and job-hunting experiences, the impact of AI on resumes and screening, the slowdown in bootcamps, and why the industry feels different than it did even a few years ago. We also unpack economics, incentives, and business realities affecting hiring, plus what developers should be doing right now to stand out. Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    1ક૰ 5મિ૰
  7. Why Astro Is Winning Developers Over with Sagi Carmel - JSJ 697

    23/11/2025

    Why Astro Is Winning Developers Over with Sagi Carmel - JSJ 697

    In this episode, I sit down with developer and speaker Sagi Carmel to dive deep into Astro, why it’s gaining so much traction, and how it compares to frameworks like Next.js, Nuxt, Remix, and SvelteKit. We explore what makes Astro uniquely powerful — from its server-first approach and island architecture to its simplicity, speed, and ability to integrate with any front-end framework you want. Sagi also walks me through real-world use cases, including how he built Israel’s official Census website with Astro, why scoped CSS and server components simplify the development experience, and how tools like HTMX and view transitions make web UX buttery smooth. If you’ve been curious about Astro, this conversation is a terrific deep dive into both its fundamentals and its advanced capabilities. 🔗 Links & Resources Astro Documentation: https://astro.buildHTMX: https://htmx.orgLooker (Google Cloud): https://cloud.google.com/lookerBigQuery: https://cloud.google.com/bigquerySagi Carmel on YouTube: @SagiCarmelSagi Carmel on LinkedIn: Search “Sagi Carmel” Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    1ક૰ 4મિ૰
  8. The Truth About AI in Everyday JavaScript Development - JSJ 696

    14/11/2025

    The Truth About AI in Everyday JavaScript Development - JSJ 696

    It feels great to finally be back on the mic after a stretch of travel, work, and general chaos, and in this episode we’re diving into a topic that’s been coming up more and more in everyday developer conversations: how to actually use AI in your JavaScript development workflow. This isn’t about adding AI features to your app — it’s about using LLMs and AI-powered tools as part of your day-to-day coding practice. We talk through the tools we each rely on, how they’ve changed the way we write code, where they fall short, and where they can save hours of work. We also dig into the real differences between “AI-assisted coding” and “vibe coding,” the unexpected pitfalls of having AI write your tests, and the growing concerns juniors are facing in a job market that looks very different than it did just a few years ago. If you’re trying to figure out how to work with AI without losing your sanity (or your code quality), this one’s worth a listen. Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

    1ક૰ 15મિ૰
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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.

માહિતી

  • નિર્માતા
    Charles M Wood
  • વર્ષ સક્રિય
    2017 - 2026
  • ઍપિસોડ
    738
  • રેટિંગ
    સાફસૂથરું
  • કૉપિરાઇટ
    © Copyright Charles M Wood
  • શોની વેબસાઇટ
    JavaScript Jabber

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