Does this prompt generate production-ready code?

No. It creates learning and draft-oriented code. The user should test it in their own environment and review security and performance separately.

Does this prompt ask for secret API keys or passwords?

No. It is designed to work with anonymous examples without asking for secrets, passwords, tokens, customer data, or live system details.

Is it suitable for beginners?

Yes. It can explain the code goal, sections, editable parts, and basic error points in simple language.

Can this prompt suggest tests?

Yes. It can suggest simple unit test scenarios, manual checks, and checklists for error cases.

Safe AI code generation and code review prompt

What is this prompt used for?

This prompt is designed for users who want to ask AI to generate code in a safer and clearer way. It clarifies the coding goal, uses anonymous project context, explains the code, and creates test ideas and a final checklist.

Who is it for?

It is useful for beginner developers, learners who want to understand generated code, users creating small demo projects, and people who want safer boundaries when coding with ChatGPT.

When should you use it?

It can be used when creating a simple code example, understanding existing code, drafting a function, checking possible errors, or asking AI for test ideas.

Example use case

A user may want to create a to-do list example in Python. By entering their level, language, code goal, and output preference, they can receive a small code draft, explanation, error handling notes, and test ideas.

Tips for better results

Instead of saying only 'write code', a clearer goal such as 'write a beginner-friendly Python to-do list example, explain the code block by block, and add input validation and test ideas' creates a safer and more educational result.

Short code goal summary

The goal is to prepare a simple to-do list example for Python beginners and explain the basic logic clearly.

Assumptions and points to check

This example is for local learning. It does not include real user accounts, databases, file systems, or live system connections. The user should check their Python version and runtime environment.

Code draft

tasks = [] while True: task = input("Write a new task or type q to quit: ") if task.lower() == "q": break if task.strip() == "": print("Empty tasks cannot be added.") continue tasks.append(task) print("Task added:", task) print("Your task list:") for index, item in enumerate(tasks, start=1): print(index, "-", item)

Section-by-section code explanation

The tasks list stores the tasks. The while True loop keeps running until the user chooses to quit. The input line gets a task from the user. If q is entered, the loop ends. The empty input check prevents blank tasks. The append method adds the task to the list. The final section prints tasks with numbers.

Test ideas

1. Does a normal task get added to the list? 2. Does empty input show a warning? 3. Does q stop the loop? 4. Are multiple tasks displayed in order? 5. Does uppercase Q also quit?

Safe usage notes

This example does not include real user data or file storage. Before turning it into a real app, error handling, data storage, user interface, and tests should be planned separately.

Final checklist

Is the code goal clear? Were secrets avoided? Is there input validation? Is the code suitable for beginners? Were test ideas included? Were points to adapt before real use marked?

Safe AI code generation and code review prompt

Ready prompt

Tags

How to use this prompt

What is this prompt used for?

Who is it for?

When should you use it?

Example use case

Tips for better results

Additional usage questions

Example output

Example variables

Short code goal summary

Assumptions and points to check

Code draft

Section-by-section code explanation

Usage tips

Frequently asked questions

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Test ideas

Safe usage notes

Final checklist