What it is
Generated code is not worse code. It is code nobody had to reason through line by line, so the system exists while the thinking behind it was never written down. That gap is what changes the moment you ship it.
Why it breaks in production
The code is there. The context is not.
A product built this way usually runs fine until it meets real users, real data and a second developer. Then the questions start: which parts are load-bearing, why does the same logic exist in three places, what happens when this dependency stops being maintained, and who decided how sessions and permissions work. The answers are recoverable, but only by reading the system properly. The same tools that generated the code are good at reading it back, which is how we work with AI every day.
How we read an AI-generated codebase
We take read-only access, run the tooling, and separate what is live and load-bearing from what was generated once and forgotten.
We check logins, customer data, what happens when something fails, and the outside code you depend on. Then whether the tests catch any of it.
You get the system written down, the risks ranked, and a short list of what to fix before it costs you.
What you walk away with
How we work in practice
Common questions
How solid is what you shipped?
Audit your code for free