Prompts for Coding Help That Produce Reviewable Answers

Quick Answer

Coding prompts need the goal, relevant code, environment, error messages, constraints, and expected behavior. The response should be reviewed like any other code suggestion.

Working Method

The practical move is to make the model's job visible. Before you ask for the final output, define the important choices you do not want the model to guess.

1. Describe the bug or feature in terms of expected and actual behavior.
2. Include the smallest relevant code sample and exact error text.
3. State environment details such as language version, framework, and operating constraints.
4. Ask for an explanation of the change and tests to run.
5. Request minimal edits before broader refactors.

Prompt Example

Fix my code.

Find the likely cause of this Python error and suggest a minimal patch. Context: this script reads CSV exports from our CRM. Expected behavior: skip empty rows and preserve column order. Actual error: KeyError on email. Include the reasoning, patch, and two tests I should run.

Common Pitfalls

• Pasting too much code with no specific failure.
• Asking for a rewrite when a minimal fix is safer.
• Accepting code without tests or explanation.

How to Judge the Answer

A better prompt is only useful if the answer becomes easier to evaluate. Before using the response, check whether it meets the standard you set.

• The suggestion is scoped to the stated problem.
• The answer includes verification steps.
• You understand the patch before applying it.