10 ChatGPT Prompts for Coding That Save Hours of Development Time
Copy-paste ChatGPT prompts for coding, debugging, code review, and programming. For JavaScript, Python, React, APIs, and more. Each prompt is tested, ready to copy-paste, and works with ChatGPT, Claude, Gemini, or any AI.
1 Debug This Error
I'm getting this error: [PASTE ERROR MESSAGE]. Here's the relevant code: [PASTE CODE]. Language/framework: [LANGUAGE]. What I expected to happen: [EXPECTED]. What actually happens: [ACTUAL]. Diagnose the root cause and give me the fixed code with an explanation of what went wrong.
Pro tip: Always include the full error message and the code that triggers it.
2 Code Review
Review this code for: bugs, security issues, performance problems, and readability. Be specific — point to exact lines. For each issue, explain why it's a problem and show the fix. Language: [LANGUAGE]. Code: [PASTE CODE].
Pro tip: Ask for specific review criteria — "review this" is too vague for good feedback.
3 Write a Function
Write a [LANGUAGE] function that [DESCRIPTION OF WHAT IT DOES]. Inputs: [PARAMETERS]. Output: [RETURN VALUE]. Edge cases to handle: [LIST]. Include: type annotations, error handling, and 3 unit test examples. Follow [STYLE: PEP 8 / Airbnb / Google] conventions.
Pro tip: Specifying edge cases upfront produces 3x more robust code.
4 Refactor for Readability
Refactor this code to be more readable and maintainable. Don't change the functionality. Focus on: naming, structure, reducing nesting, extracting functions, and removing duplication. Explain each change. Code: [PASTE CODE].
Pro tip: Good refactoring changes the structure without changing the behavior.
5 API Endpoint Design
Design a REST API for [FEATURE/RESOURCE]. Include: endpoint URLs, HTTP methods, request body schemas, response schemas, status codes, and error responses. Follow RESTful conventions. Include authentication requirements and rate limiting strategy.
Pro tip: Design the API from the consumer's perspective, not the database schema.
6 Write Unit Tests
Write unit tests for this function using [TEST FRAMEWORK: Jest/pytest/etc]. Cover: happy path, edge cases, error cases, and boundary values. Each test should have a descriptive name that explains what it's testing. Function: [PASTE CODE].
Pro tip: Test names should read like documentation: "it should return empty array when input is null."
7 Database Query Optimization
Optimize this database query: [PASTE QUERY]. Database: [PostgreSQL/MySQL/MongoDB]. Table sizes: [APPROXIMATE ROWS]. Current execution time: [TIME]. Suggest: index recommendations, query restructuring, and explain the performance improvement for each change.
Pro tip: Always check EXPLAIN output before and after optimization.
8 Convert Code Between Languages
Convert this [SOURCE LANGUAGE] code to [TARGET LANGUAGE]. Maintain the same functionality and logic. Use idiomatic [TARGET LANGUAGE] patterns — don't just translate syntax. Include equivalent libraries/packages. Source code: [PASTE CODE].
Pro tip: Idiomatic conversion means using the target language's patterns, not direct translation.
9 Architecture Decision Document
Help me decide between [OPTION A] and [OPTION B] for [TECHNICAL PROBLEM]. For each option, provide: pros, cons, estimated implementation effort, scalability considerations, and maintenance burden. Then give a recommendation with reasoning.
Pro tip: Architecture decisions should be documented — future you will thank present you.
10 Generate Regex Pattern
Write a regex pattern that matches [DESCRIPTION OF WHAT TO MATCH]. Language: [LANGUAGE]. Include: the pattern, an explanation of each part, 5 strings that should match, and 5 strings that should NOT match. Test edge cases.
Pro tip: Always test regex with edge cases — they're the #1 source of bugs in pattern matching.
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