Guides to effective prompting and AI-assisted development — for everyday users, educators, and experienced engineers.
| Guide | English | Chinese | Audience |
|---|---|---|---|
| Just Ask Right | prompting-guide.md | prompting-guide.zh.md | Everyday users — plain language, real-life examples, quick tips |
| The Art of the Question | prompting-philosophy.md | prompting-philosophy.zh.md | Educators and practitioners — philosophical depth |
| Vibe Coding at Scale | vibe-coding.md | vibe-coding.zh.md | Experienced developers scaling up AI-assisted development |
A short, conversational read for anyone who uses AI tools day-to-day.
- Why questions matter and how to make them clearer
- Three question types: fact, prediction, advice
- Everyday examples: news, health, finance, travel, learning
- Practical tips and a quick checklist before you ask
A teaching guide exploring the foundations of inquiry and what prompting reveals about how we think.
- The three fundamental directions of human inquiry (retrospective, predictive, prescriptive)
- Where LLM answers come from and hallucination risk by source
- Aristotle's episteme and phronesis, Hume's is-ought gap, Gadamer's hermeneutic circle
- Wittgenstein on the limits of language, Plato's cave, Socratic questioning
- Language quality, responsible use, domain tools, and iterative prompting
A practical guide for experienced developers scaling up AI assistance on large software projects.
- The mental model shift: directing vs. writing
- Where AI assistance works — and where it degrades
- Architecture-first approach and structuring projects for AI
- Prompting patterns for code: constraints, references, signatures
- Managing context at scale across large codebases
- Quality control, security review, and iterative workflow
- Team conventions and common pitfalls