Skip to content
MMake Prompt AI Get Started
Home > ChatGPT Guide > /code
Custom prompt shortcut / Software Development

/code — ChatGPT Prompt Guide

Explore the /code custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /code do?

Purpose: Worked scenario and review.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

Use /code when the task is implement a typed csv parser for a small inventory utility; specify the evidence needed to accept the result.

Copy-ready task brief

/code Objective: Implement a typed CSV parser for a small inventory utility Inputs: Example rows, language version, validation rules and desired return type Deliverable: Complete parser function, sample usage and tests for malformed input

Reusable prompt template

/code Objective: Implement a typed CSV parser for a small inventory utility Available materials: Example rows, language version, validation rules and desired return type Required output: Complete parser function, sample usage and tests for malformed input Acceptance test: Test escaped quotes, empty rows, duplicate IDs and invalid numeric fields Boundary: Do not treat CSV content as executable code Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Example rows, language version, validation rules and desired return type
  2. Run /code with the copy-ready task brief above.
  3. Request the concrete output: Complete parser function, sample usage and tests for malformed input
  4. Check the result: Test escaped quotes, empty rows, duplicate IDs and invalid numeric fields

Quality checks and limitations

Acceptance criteria: Test escaped quotes, empty rows, duplicate IDs and invalid numeric fields Limitation: Do not treat CSV content as executable code

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

/debug/refactor/codeaudit/frontend/motiongraphics/viralhook

Worked example and expected output

Input materials: Example rows, language version, validation rules and desired return type

Requested result: Complete parser function, sample usage and tests for malformed input

Acceptance test: Test escaped quotes, empty rows, duplicate IDs and invalid numeric fields

Worked workflow: Implement a typed CSV parser for a small inventory utility

Practical scenario: Implement a typed CSV parser for a small inventory utility

Inputs to provide: Example rows, language version, validation rules and desired return type

Requested deliverable: Complete parser function, sample usage and tests for malformed input

How to verify the result: Test escaped quotes, empty rows, duplicate IDs and invalid numeric fields

Important limitation: Do not treat CSV content as executable code

Frequently asked questions

Is /code an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.

Worked scenario and review

Scenario: Implement a Python function that groups invoice items by tax category.

Expected deliverable: Provide typed function, sample input/output, error handling and unit tests.

Verification: Check rounding and empty inputs.