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The modern web is changing fast. Front-end frameworks evolve quickly, standards are emerging and old ones are fading out of favor. There are a lot of things to learn, but knowing the right thing is more critical than learning them all. Modern Web Podcast is an interview-style show where we learn about modern web development from industry experts. We’re committed to making it easy to digest lots of useful information!
187 Episodes
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Rob Ocel and Jerome Hardaway continue their series on AI adoption. In this installment, they discuss the differences between small language models (SLMs) and large language models (LLMs), highlighting the unique strengths of each. They also explore the advancements in AI chips by tech giants like Apple and Google, and their potential impact on the industry for developers. The conversation touches on the evolving role of engineers in relation to AI, the role of the software engineer in the AI age, and some ethical implications of AI implementation.
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1Tracy Lee and Rob Ocel host an exciting episode featuring guest Shawn Wang, who shares insights on the emergence of AI engineering as a distinct field. Shawn emphasizes the importance of core knowledge and skills in AI engineering, and outlines a systematic approach to education and development. He envisions a future where AI engineering becomes a recognized profession, highlighting the rising demand for AI engineers. The conversation also explores the use of advanced AI technology in software development, showcasing tools like GPT vision for automating tasks and generating code efficiently.
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Tracy Lee, Jerome Hardaway, and Rob Ocel continue their six part series on the six steps for AI adoption. In this episode they discuss AI API integration and better building with AI models. They discuss the importance of choosing the right tools for specific tasks, such as APIs for filtering inappropriate content. Jerome emphasizes the role of AI in enhancing coding abilities and problem-solving, while cautioning against using AI tools where they may not be beneficial. The conversation also explores the challenges of working with API documentation, the impact of AI on different engineering levels, and the importance of efficient resource management in AI development.
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Darcy Clarke shares vlt.sh, a new package manager which he has been building with npm Creator Isaac Schlueter and Node TSC member Ruy Adorno. Along with hosts Tracy Lee, Ben Lesh, and Adam Rackis, he shares insights on emerging developer tools, pair programming, and sustainability in open source.
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Lindsay Wardell, senior software engineer at NoRedInk, shares her opinions on Elm, and explains why every software engineer should give it a try. She and Rob Ocel also discuss trends in fullstack development away from JavaScript, and why developers should broaden their experience with multiple languages to stay adaptable.
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Tracy Lee, Rob Ocel, and Jerome Hardaway continue their six part series on adopting AI technology into your workflow. In this episode, they discuss the importance of prompt engineering in optimizing AI interactions, emphasizing the need for clear communication, task breakdown, and effective tooling. Jerome highlights the significance of understanding AI prompts, avoiding humanization of AI, and leveraging prompt patterns for code quality enhancement.
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Dave Gray covers some of the latest updates to NextJS, including Server Actions, changes to static content caching, and the transition from dynamic to static content generation. They talk about the changing landscape of front-end development and popular frameworks like Vue, Angular, and Astro. Dave shares valuable insights on mastering new technologies by building simple CRUD applications, and setting clear goals for side projects. Lastly, he provides advice on starting and growing a successful YouTube channel, emphasizing the importance of consistency and engagement with the algorithm.
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In this podcast episode, Tracy Lee, Rob Ocel, and Adam Rackis, alongside guest Kevin Whinnery, explore Deno, an alternative JavaScript runtime, and JSR, a TypeScript-first module registry. The conversation covers compatibility challenges, adoption strategies, and the potential impact of Deno and JSR in server-side JavaScript development.
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Tracy Lee and Jerome Hardaway (Vets Who Code) continue their series where they define the six steps of AI adoption. In this episode, they discuss the second step, making and using GPTs and other AI tools to improve your workflow. They explore how AI can be used for resume building, workflow optimization, development processes, and education. They also emphasize the importance of learning how to structure tasks effectively within AI interactions.
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Tracy Lee, Adam Rackis, Ben Lesh, and guest Carter Rabasa discuss the democratization of AI technology and the challenges developers face with AI today. Carter educates the group on the significance of vector databases for fuzzy and similarity searches, along with the evolving landscape of AI technologies. The conversation also touches on the risks associated with advanced AI capabilities like privacy concerns. Don't miss this insightful discussion on the socio-economic impacts of technology adoption, and the importance of responsible development.
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Tracy Lee and Jerome Hardaway (Vets Who Code) embark on a series of defining the six steps of AI adoption. In this episode, they define the first step: destroying the bias, through which technologists must first acknowledge the transformative potential of AI across industries. Tracy and Jerome explore the role of AI in enhancing human capabilities, particularly in education and workflow improvement, and how developers can reframe their thinking about AI to more mindfully integrate AI into their daily work.
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Jay Phelps, a Senior Software Engineer at Netflix, alongside Ben Lesh, Tracy Lee, and Adam Rackis, explores challenges facing React developers, the problem with Vercel and Next.js, and the solutions that the web platforms teams should be focused on to improve the web for everyone, especially those that use third party scripts.
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Jack Herrington talks with Tracy Lee on the latest trends in JavaScript development and developer culture. They talk about evolving web development tools and philosophies and the abstractions that come with these new frameworks. Jack and Tracy talk about the potential of HTMX and Astro, highlighting trends towards simplicity in tech and the role of client-side libraries like HTMX in bridging front-end and back-end development.
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Join Ben Lesh, Adam Rackis, and Tracy Lee as they talk about observables landing in the browser and its potential impact on the use of RXJS. They also talk about the significance of listening to customers vs having a strong vision in software development, and explore the factors that contribute to the success or failure of frameworks. Finally, they discuss the potential impact of AI automation on job roles and the outsourcing of tech jobs.
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Atila Fassina is a devrel engineer at Crabbula and on the Solid DX team. He is passionate about creating content and in this show we talk about his involvement with SolidJS and developer experiences in general. Rob and Atila discuss how to improve DX, performance optimizations, and the nuances behind developer documentation and how to create a comprehensive toolkit for developers. Atila also talks about the upcoming stable release of Solid and its integration with Tauri V2 for mobile app development.
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Tracy Lee, Adam Rackis, Ben Lesh host Chance Strickland to discuss new web APIs, CSS, Tailwind and Atomic CSS pros and cons, React Server Component implementations, and so much more on this podcast.
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What is the current state of React and its influence from Vercel? What are the challenges of upgrading to React 18 and the impact on testing? The hosts also cover the potential for the runtime Bun to become the default for node development. The conversation explores the future of front-end development, the complexities of modern web development, and the influence of content creators in the industry.
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Loren Sands-Ramshaw, Developer Relations Engineer at Temporal joins Rob Ocel to talk about reliable application development. They introduce the topic of durable execution and talk about reliability in systems, unraveling common issues developers face and showcase the benefits that durable execution can bring to software development. They also talk about the challenges of traditional programming and the complexities of event-driven architecture.
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Ever been curious about neural networks? Chris Gardner talks neural networks, covering fundamental concepts, historical development, and practical applications. What’s the difference between AI (artificial intelligence) and machine learning? Learn about the practical application of neural networks in solving complex problems with large datasets and the importance of understanding underlying concepts. The episode also explores the challenges of training neural networks and the ethical considerations and biases inherent in machine learning models.
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In this episode, James Quick has an in depth discussion with Dustin Goodman about Astro, a static site generator, and its features. The two go deep into the future of Astro, how it competes with the current web landscape, and Astro’s features such as the View Transition API support, the image optimization component, Astro v3. They also discuss island architectures and Astro pulling in other frameworks and the excitement around the new Qwik integration and what it means for developers.
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Thanks for sharing! I'd also recommend checking out an interesting guide on React comparing tio Flutter - https://existek.com/blog/flutter-vs-react-native-in-2022/.
is the whole episode uploaded? cz it cuts off midway