In this episode, Stanislav Khromov joins the Svelte Radio team to discuss his work on Svelte Bench, a benchmarking tool that scientifically measures how well different LLMs understand and write Svelte 5 code. The conversation explores the challenges of AI-assisted coding with Svelte 5, the development of the official Svelte MCP (Model Context Protocol) that provides LLMs with documentation and auto-fixing capabilities, and the surprising performance differences between major AI providers. Stanislav also shares insights on working with AI tools, the future of local models, and the economics of AI coding assistants.