JavaScript Jabber

About JavaScript Jabber

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 (https://www.spreaker.com/podcast/javascript-jabber--6102064/support?utm_source=rss&utm_medium=rss&utm_campaign=rss).

Publisher

Charles M Wood

Category

business · education · technology

Language

en

Explicit

No

First episode

20 Jan 2012

Latest episode

25 Feb 2026

Latest episodes

72 of 735 episodes have a transcript.

1. 

   25 Feb 2026TRANSCRIPT

   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 & Resources Mongoose – https://mongoosejs.com (https://mongoosejs.com) Mongoose Studio – https://mongooseStudio.app (https://mongooseStudio.app) ElysiaJS – https://elysiajs.com (https://elysiajs.com) Todoist – https://todoist.com (https://todoist.com) Kent C. Dodds – https://kentcdodds.com (https://kentcdodds.com) https://epicai.pro https://epicweb.dev (https://epicweb.dev) https://epicreact.dev (https://epicreact.dev) MasteringJS – https://masteringjs.io (https://masteringjs.io) Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support (https://www.spreaker.com/podcast/javascript-jabber--6102064/support?utm_source=rss&utm_medium=rss&utm_campaign=rss).

2. 

   10 Feb 2026TRANSCRIPT

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

   Host interviews Matteo Collina, Node.js project chair, about optimizing Node.js performance within Kubernetes and server-side rendering, questioning common beliefs around runtimes and highlighting benchmarking's impact on system reliability.

3. 

   30 Jan 2026TRANSCRIPT

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

   Jack Harrington from Netlify and TanStack joins Dan Shapir to discuss modern frontend architecture, AI tooling, and the TanStack ecosystem, including TanStack Start and TanStack AI in this interview.

Inside a recent episode

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

Published 25 Feb 2026 · Transcript excerpt

[…] I'm not so I'm working for a clienta as a strong front -end preference site. Cool. So what's new and exciting in Mungus? Well, so Mungus dying. I would most it's less about kind of like flashy features and more about producing long -term friction and specifically to TypeScript. I think one of the major changes that we made was before we had it so that functions like find, which is the general way that you execute a query to load some documents in Mungus. On the TypeScript types there were very permissive and just why you pass in whatever you wanted. We, for Mungus 9, we made that more script and made it so that's okay. […]

Who has been a guest on JavaScript Jabber

Names identified in recent episode analyses. Showing up to five guests.

• Matteo Collina
• Jack Harrington
• Gunnar Berger
• Hadar Geva
• Delaney Gilliland

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.4 / 5

233 ratings

Podcast Authority Score: 69 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

100

Social presence

0

YouTube

0

Engagement

98

Contact JavaScript Jabber

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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