12 Principles for Coding with AI
summary
Claims twelve actionable rules and shows the tools and results: uses GPT‑4, Claude, LM Arena and free model options, gives a concrete prompting recipe and asserts context is king while showing a chart where performance drops as token count rises. Demonstrates a built solution by scraping an exhibitor list via inspect element + browser console script (works after iterations) and a prototype that turns selected text into natural voice using RAG retrieval augmented generation with Perplexity and Google AI Studio.
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chapters (11)
- 0:00Introduction
- 3:42AI coding skills matter
- 5:27Free AI coding tools
- 6:30Effective prompting formula
- 7:12Context management
- 7:53Balancing context length
- 8:37Scraping exhibitor lists
- 12:05AI for research beyond cutoff
- 14:57Summarizing research with AI
- 15:58Q&A
- 21:00Closing remarks
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