本文由 AI 分析生成
建立時間： 2026-02-05
Summary
EN: Lovable’s official 12-step prompting guide for building applications with their AI-powered platform. The guide emphasizes planning before coding, mapping the full user journey, getting design right early, using component-based thinking, populating prompts with real content, building an atomic vocabulary, avoiding buzzwords, specifying layouts explicitly, and leveraging version control. It’s oriented toward non-engineers using AI to build products.
ZH: Lovable 官方的 12 步驟提示指南，針對使用 AI 平台開發應用程式的非工程師用戶。強調先規劃再編碼、繪製完整使用者旅程、早期確定設計、元件化思維、使用真實內容、建立原子化詞彙表，以及善用版本控制。
Key Points
- Plan first: describe the full app idea before asking for any code generation
- Map user journey: define all screens and flows before building
- Get design right early: design changes are cheaper before code exists
- Component-based: treat UI as composable building blocks, not monolithic pages
- Real content: use actual data/copy in prompts, not Lorem Ipsum — it guides AI better
- Atomic vocabulary: establish consistent terms for your app’s concepts (e.g., “card” means a specific UI element)
- Avoid buzzwords: vague terms like “modern” confuse AI; be specific
- Version control: commit checkpoints so you can revert when AI goes off-track
Insights
- The emphasis on “real content” over Lorem Ipsum is counter-intuitive but correct: placeholder text strips context that helps AI make better layout and flow decisions
- Atomic vocabulary mirrors software design principles (ubiquitous language from DDD) applied to AI prompting
- Version control advice is particularly valuable for non-engineers who don’t have the mental model to “undo” AI changes
Connections
- Connects to the Superpowers plugin article: both emphasize planning (brainstorm→plan→implement) before generating code
- The “avoid buzzwords” principle aligns with Claude’s prompt library guidance: be explicit and specific
- Component thinking mirrors React/Vue architecture — the guide implicitly teaches good software design habits alongside prompting
Raw Excerpt
“Use real content in your prompts. Real text, real numbers, real images. AI models make better decisions about layout, spacing, and information hierarchy when they understand what the content actually is — not when it’s filled with generic placeholders.”