How do you test if AI-generated code actually works for your business?
AI code and formulas often run without crashing while producing completely wrong numbers or violating custom business logic. Because writing tests to catch these logical errors takes more time than generating the code, people find themselves unable to properly verify what's been built and end up harmed by hidden mistakes.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
- 1writing tests to catch logic errors
- 2Manually reviewing and testing AI-generated configurations or restricting platform-wide usage of AI tools.
In their words
Unedited, grouped by where they were said, most upvoted first within each place, each linked to the thread it came from.
“the part that actually takes time is making sure what it wrote matches my actual business rules and not just what looks reasonable.”source ↗
“Bottleneck for me isn't the agent, it's writing tests that would catch a wrong number instead of just a crash, since the code runs fine either way.”source ↗
Where this came up
People with this problem also raised
- 2Why do I still have to check the UI after using AI?
- 3How to check if freelancer plugins or themes are cracked
- 2How to track down undocumented scripts across inherited systems
- 4Why do invoice automation tools fail on minor text mismatches?
- 5Why does editing AI website code break other parts of the site?
- 5Why do platform integrations fail without errors?