Prompt-End Developer
summary
Claim: GPT4-style LLMs can take a product user story, produce a JSON layout, map that to a UI library (Material UI example), and emit GPT-generated React components and Storybook entries into an empty repo — live demo shows the repo filling and UI rendering. Tools actually used: GPT (references to GPT‑3 175B and GPT‑4 ~220B), GitHub Copilot, a backend calling the OpenAI API, and function/plugin calls to weather and NASA APIs. Results work end-to-end.
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chapters (6)
- 0:00Start
- 2:50Large Language Models
- 6:05Transformers to the rescue!
- 11:02Tab Driven Development
- 13:27Prompt Engineering
- 22:05Human extinction
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