AI-Powered Software Development From the Trenches
summary
Demonstrations show concrete workflows: a rapid prototype from screenshot that generates a runnable React app in seconds, a cost‑aware chat clone built with Python calling OpenAI/Claude APIs that adds token counters and pricing, and iterated edits inside Cursor AI‑native IDE to fix failures without copy‑paste. Reported outcomes: prototypes move from days to hours, many fixes come from better prompts and context, and free consumer models produce poor code—use Claude or GPT‑4o and treat prompt design as the primary skill.
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chapters (15)
- 0:00Intro
- 1:402 Metaphors for generative AI
- 2:16Gen AI is more powerful than you think
- 3:40Mindset
- 4:50It's the wild west right now
- 6:16Demo 1: Rapid prototyping
- 14:47AI in your IDE
- 16:35Demo 2: Working with APIs
- 32:41Demo: Working with legacy code
- 40:45The joy of coding
- 41:42Quality
- 43:16Recalibrate
- 44:17Probable future
- 45:22Key takeaways
- 46:15Outro
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