Промты для Cursor: AI-assisted разработка в IDE

{
"title": "18 Prompts for Cursor: Mastering AI-Assisted Development in Your IDE",
"content": "# 18 Prompts for Cursor: Mastering AI-Assisted Development in Your IDE\n\nModern AI-powered IDEs like Cursor are changing how developers write code. With built-in AI features such as autocomplete, chat, and command mode, the key to productivity lies in crafting effective prompts. This article collects 18 practical prompts, organized by skill level, that leverage Cursor's capabilities. Each prompt includes a concrete task, the exact text to use, and a realistic example result. The examples are grounded in real-world scenarios, from small utilities to full-featured API endpoints.\n\n## Why Prompts Matter in Cursor\n\nCursor integrates GPT‑4 and Claude models directly into the editor. The AI can suggest completions, answer questions in a chat panel, and even execute multi‑step commands. According to Cursor’s official documentation (cursor.com/docs), the quality of output heavily depends on how you frame your request. A well‑structured prompt reduces iterations and produces more accurate, idiomatic code.\n\n## Getting Started: Basic Prompts\n\nThese prompts are suitable for everyday tasks and require minimal context. They work well with Cursor’s inline completion (Ctrl+K) and chat.\n\n### 1. Generate a Boilerplate Function\nTask: Create a reusable function to fetch data from an API with error handling.\nPrompt: Write a JavaScript function that takes a URL and returns parsed JSON. Include try/catch and a timeout of 5 seconds.\nExample result:\n\njavascript\nasync function fetchJSON(url, timeout = 5000) {\n const controller = new AbortController();\n const id = setTimeout(() => controller.abort(), timeout);\n try {\n const response = await fetch(url, { signal: controller.signal });\n if (!response.ok) throw new Error(`HTTP ${response.status}`);\n return await response.json();\n } catch (error) {\n console.error('Fetch failed:', error);\n throw error;\n } finally {\n clearTimeout(id);\n }\n}\n\n\n### 2. Explain a Code Snippet\nTask: Understand a complex regex pattern.\nPrompt: Explain step by step what this regular expression does: /^(?=.*[A-Z])(?=.*\\d).{8,}$/\nExample result (from Cursor Chat):\n> This regex enforces password rules:\n> - ^ start of string\n> - (?=.*[A-Z]) at least one uppercase letter\n> - (?=.*\\d) at least one digit\n> - .{8,} eight or more characters\n> - $ end of string\n\n### 3. Write a Unit Test with Jest\nTask: Create a test for the fetchJSON function.\nPrompt: Generate a Jest test suite for the fetchJSON function. Mock fetch to test success and failure cases, including timeout.\nExample result:\n\njavascript\nimport { fetchJSON } from './fetchJSON';\n\ndescribe('fetchJSON', () => {\n beforeEach(() => {\n global.fetch = jest.fn();\n });\n\n it('returns parsed JSON on success', async () => {\n fetch.mockResolvedValue({ ok: true, json: async () => ({ data: 'test' }) });\n const result = await fetchJSON('http://example.com');\n expect(result).toEqual({ data: 'test' });\n });\n\n it('throws on HTTP error', async () => {\n fetch.mockResolvedValue({ ok: false, status: 404 });\n await expect(fetchJSON('http://example.com/404')).rejects.toThrow('HTTP 404');\n });\n});\n\n\n### 4. Add Comments to a Function\nTask: Document an existing complex function with JSDoc.\nPrompt (select the function and press Ctrl+K): Add JSDoc comments describing parameters, return type, and side effects.\n\n### 5. Convert Loops to Array Methods\nTask: Refactor an old for loop into a modern array method.\nPrompt: Replace this for loop with Array.prototype.map and explain the difference.\n\n### 6. Generate a CSS Grid Layout\nTask: Create a responsive three‑column layout.\nPrompt: Write a CSS grid layout with three equal columns, a gap of 20px, and a breakpoint at 768px where it becomes single column.\n\n## Intermediate Prompts: Boosting Productivity\n\nThese prompts use Cursor’s chat and composer features to perform multi‑step tasks with context awareness.\n\n### 7. TypeScript Type Generation from JSON\nTask: Derive TypeScript interfaces from sample API response.\nPrompt: Given this JSON, generate a TypeScript interface: {"user":{"id":1,"name":"Alice","email":"alice@example.com"}}\n\n### 8. Build a REST Endpoint with Validation\nTask: Create a Node.js/Express POST route with Joi validation.\nPrompt: Write an Express route that accepts a POST to /users with body {name, email, age}. Validate with Joi: name required string, email valid email, age optional integer >= 18. Return 201 with created user or 400 with error details.\n\n### 9. Refactor Callbacks to Async/Await\nTask: Convert a nested callback pattern to modern async/await.\nPrompt: Rewrite this function using async/await instead of callbacks. Keep the same logic. (Provide the legacy code)\n\n### 10. Generate a React Component with Props\nTask: Build a reusable UserCard component with TypeScript props.\nPrompt: Create a React functional component named UserCard that takes props: user (object with id, name, avatar), onDelete callback, and loading boolean. Display a card with avatar, name, and delete button. Use Tailwind CSS for styling.\n\n### 11. Write a Database Migration Script\nTask: Automate schema changes for PostgreSQL.\nPrompt: Generate a SQL migration to add a table 'orders' with columns: id serial, user_id integer not null, total numeric(10,2), created_at timestamp default now(). Include foreign key to users table and an index on user_id.\n\n### 12. Debug a Race Condition\nTask: Identify issue in concurrent code.\nPrompt: Explain why this code occasionally produces wrong output and fix it. Use a mutex or async lock. (Provide a parallel counter example)\n\n## Expert Prompts: Architect and Optimize\n\nThese prompts require deep context and often span multiple files. They shine with Cursor’s Composer (Cmd+I) which allows referencing the whole project.\n\n### 13. Design a Database Schema from Requirements\nTask: Model a simple e‑commerce system.\nPrompt: Design a normalized PostgreSQL schema for an e‑commerce app with users, products, orders, and payments. Include foreign keys, indexes, and a trigger to update stock after order. Output DDL statements.\n\n### 14. Full CRUD Backend with Authentication\nTask: Scaffold a secure API in Node.js.\nPrompt: In the 'src' folder, create a complete CRUD for 'tasks' using Express. Use JWT authentication, store tokens in httpOnly cookies. Implement input validation with express‑validator. Include a middleware that checks user role. Write all routes in separate files.\n\n### 15. Custom ESLint Rule\nTask: Enforce a coding standard across the team.\nPrompt: Write an ESLint custom rule that disallows console.log except in files ending with .debug.js. Provide the rule code and a test for it.\n\n### 16. Refactor Legacy Code to Modern Patterns\nTask: Upgrade a jQuery app to React hooks.\nPrompt: Analyze this legacy code and propose a step‑by‑step refactoring plan to convert it to a React functional component using hooks. Then implement the first step.\n\n### 17. Complex Algorithm with Tests\nTask: Implement a recommendation engine baseline.\nPrompt: Write a Python function that computes cosine similarity between users based on their movie ratings. Then generate pytest tests covering edge cases (empty ratings, identical users).\n\n### 18. Architecture Review and Suggestions\nTask: Evaluate a microservices design.\nPrompt: Review the following system description: 'We have 5 services communicating via REST. Authentication is duplicated in each service. The order service directly calls the payment service synchronously.' Suggest improvements using event‑driven architecture with a message broker like RabbitMQ. Provide a diagram description.\n\n## Best Practices for Crafting Prompts in Cursor\n\n- Be specific: Include language, framework, and desired output format.\n- Provide context: Highlight relevant code before using a prompt.\n- Iterate: If the output isn’t perfect, refine your prompt with additional constraints.\n- Use chat for explanations: Press Cmd+L to open a focused chat window without cluttering your code.\n\n## Conclusion\n\nCursor’s AI features are only as good as the prompts you feed them. By mastering these 18 prompts—from quick autocomplete to multi‑file architecture generation—you can drastically reduce boilerplate, catch bugs early, and focus on higher‑level design. Start with the basic prompts today, then tackle the expert challenges as you gain confidence. The official Cursor documentation at cursor.com/docs offers even more examples and configuration options.\n\nWhat prompt do you use most often? Share your experience in the comments below!",
"excerpt": "Boost your coding productivity with 18 handpicked prompts for Cursor IDE. From autocomplete to complex architecture generation, this guide covers basic, intermediate, and expert prompts with real code examples."
}