AI lets people build software faster than ever. A spreadsheet, a script or a whole application can appear in an afternoon. The question is what happens the day it breaks.
A real gain, with a catch
People now solve problems that were never worth paying a developer for. That gain is real.
The catch is what AI tends to leave out. Security, backups, error handling and testing do not show up in a demo, so they are easy to skip. The tool works until it meets a situation nobody thought of.
Signs a tool is fragile
- It has become part of how the business runs, and there is only one copy.
- It has grown past the point where anyone can explain how it all works.
- Every change breaks something else.
- Passwords or keys are written into it.
- There is no record of what changed, and no second person who could take it over.
This applies to software teams too
Developers who write most of their code with AI build faster, and can end up with code that is harder to maintain. The code runs and the checks pass, but the same AI wrote both. The risk is in the code nobody fully read.
What to do about it
- List what you depend on. Write down every AI-built tool the business would miss if it stopped.
- Fix the dangerous parts first. Exposed passwords, missing backups and anything that could lose or leak data come before everything else.
- Decide tool by tool. Some need a tidy-up, some need rebuilding properly, and some are fine as they are.
- Add guardrails, not a ban. A few simple rules let people keep building without creating the next fragile tool.
How we help
Experienced developers review what has been built, tell you plainly where the risk is, and repair or rebuild what needs it. Read more about AI-built tools you can rely on.