JavaScript Jabber

• Running Doom in TypeScript’s Type System with Dimitri Mitropoulos - JSJ 684

  What if I told you someone managed to run Doom inside TypeScript’s type system? Sounds insane, right? That’s exactly what our guest Dimitri Mitropoulos did—and in this episode, we dive deep into the how, the why, and the mind-bending implications of this ambitious project. From type-level programming to the philosophical limits of Turing completeness, this is an episode that pushes the boundaries of what you thought was possible in JavaScript.We talk about how the TypeScript type system evolved to become Turing-complete, how Dimitri pulled off this seemingly impossible feat, and why “Doom-complete” might just be the new gold standard for computational capability. Along the way, we touch on functional programming, generics, recursion, and even some Lambda Calculus. It’s part computer science theory, part coding madness, and 100% geeky goodness.Episode Highlights[3:05] – Dimitri explains how a simple thought experiment turned into a year-and-a-half-long obsession[8:40] – The origins and significance of Turing completeness in type systems[14:15] – Why running Doom in TypeScript is more about proving limits than just showing off[19:55] – What it means to run programs inside the type system vs. TypeScript code itself[27:10] – ASCII art as output, functional recursion for game state, and hover-over frames in your editor[35:30] – How ignorance, determination, and obsession fueled the completion of the project[45:20] – Personal insights: balancing family, burnout, and passion while chasing an impossible dreamLinks & ResourcesDimitri MitropoulosMichigan TypeScript YouTube Channel – Dimitri's channel featuring the projectType Challenges by Anthony Fu – Advanced TypeScript exercisesSquiggleConf – The TypeScript-focused conference Dimitri co-foundedJosh Goldberg – TypeScript expert and co-organizer of SquiggleConfBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

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• Preact, Performance, and the Future of Lightweight Frontends with Ryan Christian -JSJ 683

  In this episode of JavaScript Jabber, we sit down with Ryan Christian, a core maintainer of Preact, to talk all things lightweight, performant, and practical in the JavaScript world. If you’ve ever wondered what makes Preact tick, why it continues to gain traction, and how it compares to the heavyweight champ React—this episode is for you.We get into the nitty-gritty of what separates Preact from React, not just in size but in philosophy. Ryan sheds light on how Preact is engineered for performance, why it's not just a “React clone,” and how its compatibility layer makes it easy to drop into existing projects. Plus, we explore signals, class components, and what the upcoming Preact v11 has in store.Episode Highlights[1:23] - Meet Ryan Christian: Preact core maintainer and open-source champion[4:10] - What is Preact, and how does it stack up against React?[10:15] - Preact’s tiny footprint and why size still matters[14:47] - Widgets, adoption, and why Preact powers ~6% of major sites[20:01] - Understanding Preact’s compatibility layer (PreactCompat)[25:40] - Hooks, signals, and modularity: build what you need, nothing more[31:10] - Why Preact won’t follow React into full-stack territory[37:22] - Server components, suspense, and what Ryan recommends instead[43:35] - Frameworks that pair well with Preact: Astro, Fresh, and Remix[47:55] - Sneak peek at Preact v11 and why it sticks with “classic” React experience🔗 Links & ResourcesPreact Official WebsiteAstroFresh by DenoRemixJason Miller’s VTalk on Signals (referenced)Google CrUX Report – for framework usage statsBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

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• Building Agentic AI Workflows with Matthew Henage - JSJ 678

  In this episode, we sat down with full-stack developer and AI innovator Matthew Henage, creator of WAOS.ai (Web App Operating System) and the incredible storytelling platform SpeakMagic.ai. This conversation took us deep into the world of agentic AI, low-code app building, and the future of intelligent workflows.We kicked things off with Matthew sharing how he’s been riding the AI wave since GPT-3.5 blew his mind. His platform WoWs is all about making it easy for developers to build powerful web apps with embedded AI workflows — think of it like Zapier meets ChatGPT, but with agents working together instead of API chains.One of the most eye-opening parts of our chat was learning about agent swarms — essentially teams of specialized AI agents that collaborate to perform complex tasks. Instead of relying on one giant AI brain to do everything, you create smaller, purpose-built AIs that handle specific steps in a workflow. It’s scalable, smarter, and kind of like assembling your dream dev team… but all made of code.Matthew’s Speak Magic project is a jaw-dropper. It uses a swarm of over 40 agents to turn a single story idea into a fully animated, two-minute video — complete with scenes, scripts, character animations, music, and more. It’s AI storytelling on steroids.We also talked a lot about:Best practices for building reliable AI workflowsThe importance of keeping context windows small (under 4,000 tokens works best!)How prompt engineering is becoming the new programmingUsing AI for vibe coding (yes, that’s a thing) and rapid prototypingThe tradeoffs between using traditional programming vs. letting AI handle logicEthical considerations and how to handle memory and privacy in long-running user interactionsCheck out Matthew’s work at WAOS.ai and speakmagic.ai — and as always, stay curious and keep building!Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

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• Reinventing Web Development with Brisa: A Conversation with Aral Roca - JSJ 677

  In this week’s episode, it’s just me — Charles Max Wood — and I’m joined by the incredibly sharp and open-source-loving Aral Roca, direct from Barcelona! Aral’s the creator of Brisa, a new full-stack web framework that flips the script on how we build modern web apps. If you thought the "another day, another framework" meme was played out... well, Brisa might just change your mind.Key Takeaways:-Brisa’s Big Idea: It's designed to let you build web apps with minimal or zero JavaScript on the client side. Think HTML streaming, server actions, and components that render server-side first, but can gradually hydrate on the client.-Server-first FTW: Aral walks us through how Brisa handles server actions — even capturing click and scroll events on the server — using ideas inspired by HTMX, LiveView, and server components from frameworks like Next.js.-Tiny and Mighty: The whole framework is incredibly lightweight. Web components come in at just ~3 KB, and the built-in i18n system is under 1 KB!-From Idea to Reality: Aral started Brisa to scratch his own itch — building side projects and blogs without bloated front-end code. But now, others are using it too (yes, even in production!), including one travel agency that's gone all-in.-Multi-platform Future: Brisa has adapters in the works for Vercel, Node, and Deno — plus integration with Tauri for building native Android, iOS, and desktop apps from the same codebase.-What's Coming: Roadmap goals include improved hot reloads, more adapters, transitions, lazy-loaded components, and a better playground for developers to tinker with.Oh, and yes — Aral does parkour. For real.This episode is packed with deep technical insight and exciting potential for a new way to build web apps — especially for devs who love fast performance, server-rendering, and clean architecture.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

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• Building Enterprise Infrastructure with Bit & AI with Gilad Shoham - JSJ 676

  In this episode, I (Steve Edwards) flew solo on the mic but had the pleasure of hosting a truly insightful conversation with Gilad Shoham, VP of Engineering at Bit.Cloud. Gilad brought the heat from Israel as we explored how Bit is revolutionizing enterprise software architecture—and how AI is being layered on top to supercharge developer productivity.We started by breaking down Bit’s core platform, which helps teams compose applications from reusable, independently versioned components. Think Lego blocks, but for your codebase. It’s all about boosting dev velocity, reducing duplication, and making collaboration across teams more seamless.Gilad walked us through some jaw-dropping features: versioning without Git, deep component CI pipelines, and even Bit’s ability to replace monolithic repositories with a graph of decoupled components. Everything is Node + TypeScript under the hood, and while it’s currently JS-focused, the ambition is clearly broader.Then came the big twist: AI. Bit is now leveraging AI not to just write code, but to compose it using existing components. Instead of bloating your codebase with endless variations of the same button, Bit’s AI understands your graph and builds features by intelligently reusing what’s already there. It’s like Copilot with a memory—and architectural sense.Key takeaways:Bit components wrap your existing code (like React/Vue) with metadata, testing, and versioning.Their infrastructure makes it possible to build and test components independently and in parallel.The AI strategy is reuse-first: generate only when needed, always compose from what already exists.Even massive enterprise codebases can gradually migrate to Bit without a full rewrite.Expect a human-in-the-loop process, but with most of the heavy lifting handled by AI.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

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