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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Tracy 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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