AI Prompts for Coding & Development

Write a [language] function that [describe functionality]. It should accept [input parameters with types] and return [expected output with type]. Include input validation, handle edge cases like [list edge cases], and add inline comments explaining the logic. Follow [style guide or convention] conventions.

I'm getting this error in my [language/framework] code: '[paste error message]'. Here is the relevant code: '[paste code]'. Identify the root cause of the error, explain why it is happening in plain language, provide the corrected code, and suggest how to prevent this type of bug in the future.

Review the following [language] code for quality, performance, and security: '[paste code]'. Check for: potential bugs, security vulnerabilities, performance bottlenecks, code style issues, and missing error handling. For each finding, rate severity as low/medium/high and provide the improved code.

Generate comprehensive documentation for this [language] code: '[paste code]'. Include: a module-level docstring explaining purpose and usage, function/method docstrings with parameter descriptions and return values, inline comments for complex logic, and a usage example showing how to call the main functions.

Refactor the following [language] code to improve readability and maintainability: '[paste code]'. Apply these principles: extract repeated logic into reusable functions, use meaningful variable names, reduce nesting depth, and follow [SOLID/DRY/KISS] principles. Show the refactored code and explain each change you made.

Write unit tests for the following [language] function using [testing framework]: '[paste function]'. Cover: normal inputs, boundary values, empty or null inputs, error conditions, and any edge cases specific to the logic. Use descriptive test names that explain what each test verifies. Aim for at least 8 test cases.

Design a RESTful API for [resource/feature]. Define endpoints for CRUD operations with: HTTP methods, URL paths following REST conventions, request body schemas with validation rules, response schemas with status codes, error response format, and authentication requirements. Present it in a table or OpenAPI-style format.

Create a regex pattern in [language] that matches [describe what to match] but does not match [describe what to exclude]. Provide the pattern, a plain-English explanation of each component, 5 test strings that should match, and 5 test strings that should not match. Include any necessary flags.