Quality depends on how you ask and how you check.
Direct answer
AI-generated code quality ranges from excellent to flawed. Improve it by giving clear requirements, sharing your project's conventions, asking for tests and error handling, and reviewing and refactoring the result. Good code is readable, tested, consistent and does what you intended.
What good looks like
- Clear names and small functions.
- Consistent with the rest of the project.
- Handles errors and edge cases.
- Covered by tests.
- No unnecessary dependencies.
Prompts that raise quality
- "Follow the existing style in
src/utils." - "Add unit tests for edge cases."
- "Keep the solution simple. Do not add new libraries."
- "Explain trade-offs before changing anything."
Red flags
- Large changes for a small request.
- Unused code and imports.
- Copy-pasted blocks.
- Tests that assert nothing.
Where Teyro fits
Teyro's Vibe Coding: Build Apps with AI course turns this into short lessons you can play in a few minutes a day. It has 80 lessons, and you can start free.
The bottom line
The prompt sets the direction and the review sets the standard.
