Scott and Wes sit down with Kent C. Dodds to break down MCP, context engineering, and what it really takes to build effective AI-powered tools. They dig into practical examples, UI patterns, performance tradeoffs, and whether the future of the web lives in chat or the browser.
Show Notes
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00:00 Welcome to Syntax!
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00:44 Introduction to Kent C. Dodds
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02:44 What is MCP?
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03:28 Context Engineering in AI
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04:49 Practical Examples of MCP
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06:33 Challenges with Context Bloat
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08:08 Brought to you by Sentry.io
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09:37 Why not give AI API access directly?
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12:28 How is an MCP different from Skills
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14:58 MCP optimizations and efficiency levers
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16:24 MCP UI and Its Importance
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19:18 Where are we at today with MCP
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24:06 What is the development flow for building MCP servers?
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27:17 Building out an MCP UI.
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29:29 Returning HTML, when to render.
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36:17 Calling tools from your UI
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37:25 What is Goose?
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38:42 Are browsers cooked? Is everything via chat?
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43:25 Remix3
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47:21 Sick Picks & Shameless Plugs
Sick Picks
Shameless Plugs
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