AI for React Developers: Opportunities, Learning, and Innovation
summary
Claims that React developers become AI engineers by wiring APIs not training models and that salaries at Antropic hit 300 400,000 a year. Demonstrates actual stack: Cursor, GitHub copilot, OpenAI and Antropic models, Vercel AI SDK, NextJS server actions, LangChain/Langbase, vector DBs (Supabase plugin), and Pipedream for orchestration. Shows a travel-itinerary app using RAG, embeddings and function/tool calling to return streamed React components; demo mostly works but live demo hiccups and data collection proves the hardest part.
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chapters (18)
- 0:00Introduction
- 1:04AI coding today
- 2:12Coding faster with Cursor
- 3:37AI in development
- 5:26AI learning assistant
- 6:28AI-powered apps & careers
- 7:53AI engineer path
- 9:41AI vs ML engineers
- 11:26AI APIs & experiments
- 12:54AI tool effectiveness
- 13:37Function calling with LLMs
- 15:01Vercel AI SDK
- 15:44RAG for AI apps
- 19:23AI orchestration
- 21:08AI automation tools
- 23:19Generative UI with RSC
- 26:12Live AI chat demo
- 28:26Conclusion
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