Best Coding Prompts for GitHub Copilot and ChatGPT

Effective AI coding prompts are precise, contextual, and clearly define the desired output. Here are the prompts that professional developers swear by.

Code Generation Prompts

1. "Write a [language] function that [specific description]. Include input validation, error handling, and JSDoc/docstring comments. Time complexity should be O(n) or better."
2. "Create a React component for [description] that: accepts these props [list], handles loading and error states, is accessible (WCAG 2.1 AA), and includes TypeScript types."
3. "Generate a REST API endpoint in [framework] that [description]. Include authentication middleware, input validation with [library], and proper HTTP status codes."

Debugging Prompts

4. "I'm getting this error: [error message]. Here's the relevant code: [code]. What's causing it and how do I fix it? Explain the root cause."
5. "This code should [expected behavior] but instead it [actual behavior]. Find the bug: [code]"
6. "Perform a code review of this function and identify potential bugs, edge cases I haven't handled, and security vulnerabilities: [code]"

Refactoring Prompts

7. "Refactor this code to improve readability and maintainability without changing its behavior. Apply SOLID principles where applicable: [code]"
8. "Convert this class-based React component to a functional component with hooks: [code]"
9. "This function is 150 lines long. Break it into smaller, single-responsibility functions with clear names: [code]"

Testing Prompts

10. "Write comprehensive unit tests for this function covering: happy path, edge cases, and error scenarios. Use [testing framework]: [code]"
11. "Generate integration tests for this API endpoint testing authentication, valid/invalid inputs, and expected responses: [endpoint code]"

Architecture & Documentation

12. "I'm building [describe system]. Should I use [Option A] or [Option B] for [specific decision]? Consider scalability, maintainability, and team size of [X]."
13. "Write README documentation for this project that includes: setup instructions, usage examples, API reference, and contribution guidelines. Project description: [paste code structure]"

Pro Tip: Context-Enriched Prompts

Always include in your coding prompts: the programming language and version, frameworks/libraries in use, desired coding style (functional vs OOP), performance requirements, and whether the code is for production or internal tooling. Better context = better code.