How to Write Prompts for Vibe Coding: A Constructor for Effective Queries

# How to Write Prompts for Vibe Coding: A Constructor for Effective Queries Have you ever spent an hour explaining to an AI what needs to be done? Only to get code that doesn't work as intended? Welcome to the world of Vibe Coding—a methodology where the quality of the result directly depends on the precision of the query. In this article, we'll break down the **constructor for effective prompts**. You'll learn how to structure queries, add clarifications, and iterate so that the AI understands you from the first try. We'll talk about **prompt engineering** in practice—with examples and ready-made templates. ## What is Vibe Coding and Why Prompts Solve Everything Vibe Coding is a development approach where you describe the desired functionality in natural language, and an AI assistant (e.g., Claude or GPT) generates the code. The key problem: the neural network doesn't read your mind. It literally interprets every word. If you write "make a registration form," the AI might output a simple HTML form without validation, styles, or error handling. This is where **prompt engineering** comes into play—the art of formulating queries to minimize ambiguities. ## The Prompt Constructor: 4 Elements of Success Any effective prompt for Vibe Coding consists of four blocks. Imagine you're assembling a LEGO set: each element is important, and without one, the structure falls apart. ### 1. Context and Role Start with who you are and what project you're working on. This sets the tone and constraints. **Example:** *"You are a senior frontend developer. We are creating an admin panel for an e-commerce store using React 18 with TypeScript. We use Tailwind CSS for styling."* ### 2. Clear Task Describe exactly what needs to be done. Avoid vague phrases. Use action verbs: "create," "implement," "add," "optimize." **Bad:** *"Make a button"* **Good:** *"Implement a button component with states: default, hover, active, disabled. The button should accept props variant (primary, secondary) and size (sm, md, lg)."* ### 3. Technical Constraints Specify the stack, library versions, and performance requirements. This is critical for **AI code** generation to avoid outdated or incompatible solutions. **Example:** *"Use React 18, TypeScript 5.0, Tailwind CSS 3.4. Avoid third-party UI libraries. The code must be compatible with Node.js 20."* ### 4. Examples and Output Format Show what the result should look like. This could be the file structure, expected interface, or usage example. **Example:** *"Output the full component code in one file. Add JSDoc comments for each prop. At the end, provide a usage example."* ## How to Refine Queries: The SPADE Technique Even the best prompt may need adjustment. For this, use the SPADE technique (Scenario, Problem, Attempt, Desired outcome, Example): | Element | Question for Yourself | Example in Prompt | |---------|----------------------|-------------------| | Scenario | In what context does the task arise? | *"In the admin panel when uploading a CSV with products..."* | | Problem | What specifically isn't working? | *"...validation skips rows with empty price fields."* | | Attempt | What have you already tried? | *"I added a check for isNaN, but it doesn't work for strings like '$10'."* | | Desired outcome | How should it be? | *"The price field should only accept floating-point numbers; everything else should be marked as an error."* | | Example | Show with data | *"Row '10.50' — OK, 'abc' — error, '$10' — error."* | Use this table as a checklist when refining queries. This is the foundation of **prompt engineering** in real projects. ## Practical Prompt Examples for Vibe Coding ### Example 1: Generating a React Component **Prompt:** ``` You are a frontend developer. We are building an e-commerce store with Next.js 14 (App Router). Create a ProductCard component. It should: - Accept props: product (object with id, name, price, imageUrl, inStock) - Display the image, name, price (with

How to Write Prompts for Vibe Coding: A Constructor for Effective Queries

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