10 Prompt Patterns That Produce Better Code
Ten reusable prompt templates for common coding tasks. Copy, customize, and get better results from any AI coding tool immediately.
These ten prompt patterns solve the most common AI coding tasks. Each one is a template you can copy and customize. They work with any AI coding tool — Cursor, Claude Code, ChatGPT, Copilot, or Windsurf. Keep this list bookmarked and pull from it whenever you're starting a new task.
1. The File Scaffold
Use this when you need a new file with proper structure. It prevents the AI from generating incomplete boilerplate.
Create a [type] file with the following requirements:
- Purpose: [what this file does]
- Exports: [what functions/classes it should export]
- Dependencies: [what it imports from]
- Include: [error handling / types / comments / etc.]
Example: Create a TypeScript utility file for date formatting. It should export functions for: formatRelativeTime (e.g., '3 hours ago'), formatDateRange (e.g., 'Jan 5 - Jan 12'), and isBusinessDay. Include JSDoc comments and handle invalid date inputs gracefully. 2. The Refactor Request
Use this when existing code works but needs improvement. The key is specifying what to keep unchanged.
Refactor this code to [goal] while keeping [constraint].
Example: Refactor this function to reduce duplication while keeping the same public API and return types. The three if-else branches share similar logic for validation and formatting — extract that into a helper function. 3. The Debug Helper
Use this when code produces errors. Always include the actual error message and expected behavior.
This code produces [error]. The expected behavior is [X]. Here's what I've already tried: [Y].
Example: This API call returns a 403 error. The expected behavior is a 200 response with user data. I've already verified the API key is correct and the endpoint URL matches the documentation. The same request works in Postman. 4. The Test Generator
Use this to generate meaningful tests, not just coverage padding.
Write tests for [function/module] covering these scenarios:
- Happy path: [normal usage]
- Edge cases: [boundary conditions]
- Error cases: [invalid inputs, failures]
Use [testing framework]. Each test name should describe the expected behavior.
Example: Write Jest tests for the calculateDiscount function covering: standard 10% discount, bulk discount (over 100 items), expired coupon codes, negative quantities (should throw), and zero-price items. 5. The Explainer
Use this when you need to understand unfamiliar code. Specify your knowledge level to get the right depth.
Explain this code line by line. Assume I know [your level] but not [what's unfamiliar].
Example: Explain this regex line by line. Assume I know basic JavaScript but not regular expressions. For each part of the pattern, explain what it matches and why it's needed. 6. The Architecture Planner
Use this before writing any code on a new project. Planning first prevents painful rewrites later.
Plan the file structure for a [project type] that [requirements]. Include:
- Directory layout with file purposes
- Key dependencies needed
- Data flow between components
- Which files to build first
Example: Plan the file structure for a Node.js REST API that manages a bookstore inventory. It needs user auth, CRUD for books, search functionality, and image uploads. Use Express and PostgreSQL. 7. The Code Review
Use this to catch issues before they become bugs in production.
Review this code for [specific concerns]. Flag any issues with:
- [Area 1, e.g., security vulnerabilities]
- [Area 2, e.g., performance bottlenecks]
- [Area 3, e.g., error handling gaps]
For each issue, explain the risk and suggest a fix.
Example: Review this Express route handler for security vulnerabilities, missing input validation, and potential SQL injection. For each issue found, show the fix. 8. The Migration
Use this when converting code between technologies while preserving behavior.
Convert this from [X] to [Y], maintaining [behavior to preserve]. Note these differences between X and Y that might cause issues: [known differences].
Example: Convert this class component from React JavaScript to React TypeScript. Maintain all existing functionality. Add proper type definitions for all props and state. The component uses refs and lifecycle methods — convert those to hooks. 9. The Documentation Writer
Use this to generate documentation that people actually want to read.
Write documentation for [code/API/module] targeting [audience]. Include:
- What it does (one paragraph)
- How to install/set up
- Usage examples for common scenarios
- API reference for all public methods
- Common pitfalls and troubleshooting
Example: Write README documentation for this npm package targeting developers who want to add PDF generation to their Node.js app. Include three usage examples from simple to advanced. 10. The Integration Connector
Use this when connecting two systems or services together.
Connect [A] to [B] using [method]. Requirements:
- Authentication: [how to auth with each service]
- Data mapping: [how fields map between systems]
- Error handling: [what to do when one service is down]
- Rate limits: [any API rate limits to respect]
Example: Connect our Express API to the Stripe payment API using the Stripe Node.js SDK. Handle checkout sessions, webhook events for payment confirmation, and refund requests. Include retry logic for failed webhook deliveries. Mix and match these patterns. A complex task might combine The Architecture Planner for structure, The File Scaffold for individual files, and The Test Generator for verification. The patterns are building blocks, not rigid templates.
Key Takeaway
Keep these ten prompt patterns bookmarked as your AI coding toolkit. Copy the template, fill in your specifics, and get better results than writing prompts from scratch every time.
Frequently Asked Questions
Do these patterns work with free AI tools or only paid ones?
They work with any AI coding tool, free or paid. The patterns are about how you communicate your request, not which tool processes it. That said, paid tiers of tools like Cursor and Claude typically handle longer, more detailed prompts better.
Can I combine multiple patterns in one prompt?
Yes, and you should for complex tasks. For example, you might use The Architecture Planner to design a project, then The File Scaffold to generate each file, then The Test Generator to verify everything works. Just don't overload a single prompt — use patterns sequentially.
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