JavaScript Jabber

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.

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.

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.

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.

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.