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

EPISODE · Feb 25, 2026 · 56 MIN

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

from JavaScript Jabber · host Charles M Wood

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

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

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

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This episode was published on February 25, 2026.

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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...

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