JavaScript Jabber

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.com
Mongoose Studio – https://mongooseStudio.app
ElysiaJS – https://elysiajs.com
Todoist – https://todoist.com
Kent C. Dodds – https://kentcdodds.comhttps://epicai.pro
https://epicweb.dev
https://epicreact.dev

MasteringJS – https://masteringjs.io

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

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.dev
Watt Application Server (WattPM) – https://www.npmjs.com/package/wattpm
Node.js Core Web Vitals (CrUX Dataset) – https://developer.chrome.com/docs/crux
Matteo Collina on X (Twitter) – https://twitter.com/matteocollina
NodeLand Newsletter – https://nodeland.dev

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

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.com
TanStack Start – https://tanstack.com/start
TanStack AI – https://tanstack.com/ai
Netlify – https://www.netlify.com

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

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/@shrutikapoor08
React 19 & 19.2 Documentation:
👉 https://react.dev
CodeRabbit (AI Code Review Tool):
👉 https://coderabbit.ai

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

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.