Code Generation

Developer Toolschatgpt-vs-geminilanguagefunction_descriptioninput_description

Specifies inputs, outputs, complexity, and documentation requirements upfront. Both ChatGPT and Gemini handle this structured code spec well, producing near-identical quality output.

Prompt
Write a {{language}} function that {{function_description}}.

Requirements:
- Input: {{input_description}}
- Output: {{output_description}}
- Handle edge cases: empty input, null values, invalid types
- Time complexity should be O({{complexity}}) or better
- Include JSDoc/docstring with parameter descriptions and return type

After the function, provide:
1. Three test cases covering normal, edge, and error scenarios
2. A brief explanation of your algorithmic approach
3. One alternative approach with its tradeoff

Do not include unnecessary comments in the code itself — the code should be self-documenting.

Variables to customize

{{language}}{{function_description}}{{input_description}}{{output_description}}{{complexity}}

Why this prompt works

Specifies inputs, outputs, complexity, and documentation requirements upfront. Both ChatGPT and Gemini handle this structured code spec well, producing near-identical quality output.

What you get when you save this prompt

Your workspace unlocks powerful tools to iterate and improve.

AI OPTIMIZE

AI Optimization

One-click improvement with structure analysis and pattern suggestions.

VERSION DIFF

Version History

Track every edit. Compare versions side-by-side with word-level diffs.

ORGANIZE
Development
Code Review
Testing
Marketing

Folders & Tags

Organize your library with nested folders, tags, and drag-and-drop.

MCP
$ npm i -g @promptingbox/mcp
Claude · Cursor · ChatGPT

Use Everywhere

Access prompts from Claude, Cursor, ChatGPT & more via MCP integration.

Your prompts, organized

Save, version, and access your best prompts across ChatGPT, Claude, Cursor, and more.