{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Learning Curve","title":"Core Web Vitals: What AI optimizes for instead","html":"","width":"100%","height":180,"duration":2160,"description":"AI is changing how we write code and how fast our websites load. But it won't measure, prioritize, or optimize any of it for you.\nIn this episode, hosts Matt Sharp and Holly Fake sit down with full-stack engineer Ethan Gardner to talk Core Web Vitals, why AI-generated code is quietly getting heavier and slower even as it ships faster, and what it takes to get cited by AI search tools rather than skipped over. Ethan also walks through a live demo using AI-assisted debugging in Chrome DevTools to diagnose a real performance issue in seconds.\nAlongside the technical work, Ethan shares how he's paired an LLM with a traditional career coach, one of many AI productivity tools for work now reshaping how people think about growth, to figure out what parts of his work are truly bringing him fulfillment and where he'd been spending energy that wasn't serving him.\nTwo very different problems with the same lesson: AI can move fast, but it still takes a person to decide what's worth optimizing.\n00:00 Introduction\n01:06 Using AI as a career coach \n07:15 Core Web Vitals, explained \n10:54 Performance as a proxy for the bottom line \n12:59 Why AI-generated code is getting heavier \n21:26 Testing in CI/CD vs. the real world\n28:53 Live demo: AI-assisted debugging \n34:52 Key takeaways\nSubscribe to the Learning Curve for real conversations about AI at work, AI implementation, and what it actually looks like to build with AI inside a technology company.","thumbnail_url":"https://img.transistorcdn.com/Id5sexIY2PzW_KAC-E5HwLHHwwCEp3KaFjCPvhhr-Qk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYjc1/ODMwMmVkNDQ4ODk1/OGM4NmY3ZDAyNWZl/NDVkNi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}