Exploring Vibe Coding and the Future of Product Management with Gunnar Berger - JSJ 690
In this episode of JavaScript Jabber, I sit down with Amazon product leader Gunnar Berger to dive into the fast-evolving world of vibe coding and how it’s reshaping the relationship between developers and product managers. Gunnar brings a wealth of experience from his years in IT, Citrix, and now Amazon, and shares a unique perspective on how AI tools are changing the way products get built—from idea to prototype.We talk about the shifting role of product managers, how AI is compressing traditional workflows, and what it means for developers, UX designers, and even junior devs entering the industry. From rapid prototyping to AI-assisted documentation, Gunnar opens up about both the opportunities and the challenges this new paradigm introduces. Whether you’re a developer, product manager, or just curious about where AI is taking us, this conversation is packed with insights you won’t want to miss.Links & ResourcesGunnar Berger on LinkedInCloud CodeCursorKiro.devIf you enjoyed this episode, don’t forget to rate, review, and follow JavaScript Jabber on your favorite podcast app. And of course—share it with a friend who’d love to learn more about the future of coding and product management!Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
12 Syys 1h 13min
How to Use Web Components, Iframes, and Module Federation for Multi-Framework Apps - JSJ 689
This week on JavaScript Jabber, we dive deep into the challenges and opportunities of mixing and matching frontend frameworks in modern applications. I’m joined by Dan Shapir, Steve Edwards, and our special guest Hadar Geva, CTO and co-founder of Myop.dev. Together, we explore how companies are tackling multi-framework environments, the role of web components and iframes, and why module federation isn’t always as simple as it sounds.We also take a closer look at how AI is changing the way developers and even non-developers generate code, the risks of integrating AI-written components, and strategies for safely managing that code in production. If you’ve ever struggled with legacy frameworks, integrating AI-generated components, or wondered whether web components or local iframes are the better fit—this episode is packed with insights you won’t want to miss.Links & ResourcesMyop.dev – Hadar’s company, building solutions for mixing and managing micro-frontends.Web Awesome – Web components library mentioned during picks.AG Grid – Heavy-duty data grid solution.TanStack Table – Lightweight table solution by Tanner Linsley.ShadCN UI – Component library for modern React apps.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
2 Syys 1h 17min
Why We’re Building the Front End Wrong (and How to Fix It) - JSJ 688
In this episode of JavaScript Jabber, I sit down with Delaney Gilliland to dive into why most of us are building the front end wrong—and what a faster, leaner, and simpler alternative could look like. We explore his background in game development and military applications, which gave him a unique perspective on web performance and real-time data challenges. That perspective ultimately led him to create Datastar, a new framework designed to rethink the way we approach front-end development.We talk about the limitations of SPAs, the promise (and pitfalls) of tools like HTMX and Turbo, and how Datastar builds on web standards to deliver speed, efficiency, and simplicity without the baggage of heavy state management. Whether you’re curious about server-sent events, morphing strategies, or just want to see how front-end development could be done differently, this conversation will get you thinking about the future of the web.Links & ResourcesDatastar official sitehttps://x.com/DelaneyGillilanhttps://github.com/delaneyjBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
28 Elo 46min
Vibe Coding: Building Faster with AI-Powered Development - JSJ 687
In this episode of JavaScript Jabber, we dive deep into the world of vibe coding—what it means, how it works in practice, and why it’s changing the way developers build software. I’m joined by Anthony Campolo, who shares his hands-on experience developing AutoShow, an app that automates podcast show notes, using AI-assisted workflows. We talk about how tools like Claude, ChatGPT, and Gemini accelerate development, the role of rule files, and the balance between automation and manual QA.Along the way, we explore the impact of LLMs on junior vs. senior developers, how companies are adapting AI-driven coding practices, and whether the future of software development still requires humans in the loop. This conversation blends real-world coding insights, practical tools, and some big-picture questions about where AI is taking the industry.Check out Anthony Campolo here.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
22 Elo 1h 11min
The Next Wave of Dev Tools: AI Assistants and JavaScript Workflows - JSJ 686
In this episode of JavaScript Jabber, we sit down with Vinicius Dallacqua, a seasoned software engineer with a passion for performance and developer tooling. Vinicius shares his journey from coding in central Brazil with limited connectivity to building cutting-edge tools like PerfLab and PerfAgent. We dive into the intersection of AI and DevTools, exploring how artificial intelligence is transforming performance debugging, web development workflows, and even the future of browsers.We also tackle the big questions: How do developers avoid bias when building in high-performance environments? What role will agentic browsers play in the evolution of the web? And how can AI-powered DevTools lower the barrier for developers intimidated by performance profiling? If you’re curious about the future of frontend performance, DevTools, and AI-driven development, this conversation is packed with insights.Links & ResourcesPerfLab – Performance tooling platformPerfAgent – AI-powered DevTools assistantVinicius Dallacqua on X (Twitter)Paul Kinlan’s AI Focus – Essays on AI and the webPerfNow Conference – Leading performance conference in AmsterdamBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
14 Elo 1h 6min
Inside VueConf: Nuxt 4, AI in Development, and the Future of Vue with Erik Hanchett - JSJ 685
In this episode of JavaScript Jabber, we welcome back Erik Hanchett, Senior Developer Advocate at AWS, to dive into his experience at VueConf. From the energy of the Vue community to lightning talks on AI and Nuxt updates, Erik shares his insights on where Vue is heading and why in-person conferences are still so valuable for developers. We also explore the balance between “vibe coding” and spec-driven development, plus Erik introduces us to Amazon Q CLI and its powerful MCP integrations for smarter AI-assisted coding.Along the way, we discuss the evolving state of Vue, the rise of Nuxt 4, Evan You’s projects (including Vite and RollDown), and how Amplify is simplifying full-stack app development on AWS. Whether you’re a Vue developer, curious about AI in frontend workflows, or just want to catch up on what’s happening in the broader JavaScript ecosystem, this episode is packed with insights you won’t want to miss.🔗 Links & ResourcesAmazon Q Developer CLI on GitHubAWS Amplify DocumentationCommit Your Code ConferenceErik Hanchett on X (Twitter)Program With Erik YouTube ChannelBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
8 Elo 58min
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.
1 Elo 1h 18min
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.
23 Heinä 1h 7min
