AI can draft functions, explain error messages, and suggest tests. It speeds up routine work, but it does not remove the need to understand what the code does.
Where it helps
- Writing boilerplate and small utility functions.
- Explaining unfamiliar code or an error message.
- Suggesting test cases and edge cases.
- Translating code between languages.
Where to be careful
AI-generated code may look right and still contain bugs, use outdated libraries, or miss security issues. It can also invent function names that do not exist. The code is never correct just because it is confident.
A safer workflow
- Describe the problem clearly and include the language and constraints.
- Ask for small pieces rather than an entire application at once.
- Read the code and ask the assistant to explain any part you do not follow.
- Run it, test it, and try inputs designed to break it.
- Keep it in version control so you can review every change.
Do not paste secrets
Keep passwords, keys, and private data out of prompts and out of the code you share.
The key idea
Think of the assistant as a fast junior collaborator. It can produce a first draft quickly, and you remain the reviewer who decides what ships.
Continue with the book
Explore the full treatment, worked examples, and exercises in AI Made Simple.
Adapted from AI Made Simple, published by Choral Software. Article text and original examples © 2026 Choral Software. All rights reserved.