Coding prompt pack
ChatGPT Prompts for Coding
Use these ChatGPT prompts for debugging, code review, test planning, refactoring, API design, documentation, and explaining code safely.
Use This Page For
Use these coding prompts to improve reasoning and review quality. Always verify generated code with local tests, compiler output, and codebase conventions.
Prompt Selection Framework
Give context first
Include language, framework, expected behavior, actual behavior, error messages, and relevant code.
Ask for reasoning
Use ChatGPT to isolate causes, tradeoffs, and tests, not just paste code.
Verify locally
AI coding output should be run, tested, and reviewed in the real codebase.
Copy-ready pack
6 Practical Prompts
Each prompt includes the best use case, variables to replace, customization notes, and the output you should expect.
Prompt 1
Bug Investigation
Best for: Finding likely root causes.
Help me debug this issue.
Language/framework: [STACK]
Expected behavior: [EXPECTED]
Actual behavior: [ACTUAL]
Error output: [ERROR]
Relevant code: [CODE]
What I tried: [TRIED]
Return: likely causes, how to confirm each one, minimal fix options, and tests to add.
Variables
- [STACK]
- [EXPECTED]
- [ACTUAL]
- [ERROR]
- [CODE]
- [TRIED]
Customize
Ask for confirmation steps before accepting a fix.
Expected Output
A debugging plan with testable hypotheses.
Prompt 2
Code Review
Best for: Finding bugs and maintainability risks.
Review this code change.
Context: [CONTEXT]
Code or diff: [DIFF]
Risk areas: [RISKS]
Return findings ordered by severity, file or function references, why each matters, and suggested fixes.
Variables
- [CONTEXT]
- [DIFF]
- [RISKS]
Customize
Ask for findings first, not a summary first.
Expected Output
A review focused on actionable issues.
Prompt 3
Test Plan
Best for: Planning coverage before coding.
Create a test plan.
Feature or function: [FEATURE]
Expected behavior: [BEHAVIOR]
Edge cases: [EDGE CASES]
Test framework: [FRAMEWORK]
Return: unit tests, integration tests, edge cases, fixtures, and failure modes.
Variables
- [FEATURE]
- [BEHAVIOR]
- [EDGE CASES]
- [FRAMEWORK]
Customize
Include real edge cases and regressions from the codebase.
Expected Output
A focused test plan.
Prompt 4
Refactoring Plan
Best for: Improving code without changing behavior.
Propose a refactoring plan.
Code: [CODE]
Problem with current design: [PROBLEM]
Constraints: [CONSTRAINTS]
Return: refactor steps, behavior-preserving tests, risks, and before/after structure.
Variables
- [CODE]
- [PROBLEM]
- [CONSTRAINTS]
Customize
Ask for small steps so the refactor stays reviewable.
Expected Output
A safe refactor plan.
Prompt 5
API Design Review
Best for: Designing endpoints or function contracts.
Review this API design.
Use case: [USE CASE]
Proposed endpoint or interface: [API]
Clients: [CLIENTS]
Constraints: [CONSTRAINTS]
Return: naming issues, request/response shape, validation, error handling, versioning, security considerations, and examples.
Variables
- [USE CASE]
- [API]
- [CLIENTS]
- [CONSTRAINTS]
Customize
Include client needs and failure cases.
Expected Output
An API design critique and examples.
Prompt 6
Code Explanation
Best for: Understanding unfamiliar code.
Explain this code.
Code: [CODE]
My level: [LEVEL]
What I need to understand: [GOAL]
Return: high-level purpose, step-by-step flow, important assumptions, edge cases, and questions I should ask.
Variables
- [CODE]
- [LEVEL]
- [GOAL]
Customize
Tell ChatGPT your level so it explains at the right depth.
Expected Output
A clear explanation with assumptions and edge cases.
FAQ
Can ChatGPT help with coding?
ChatGPT can help explain code, debug errors, suggest tests, review changes, and draft implementations. You still need to run and verify code in your environment.
What should I include in a coding prompt?
Include language, framework, code snippet, expected behavior, actual behavior, error output, constraints, and what you already tried.