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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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