What is Reviewing AI-generated code?
The short answer
Reviewing AI-generated code means checking what an AI wrote before it ships: that it does what was asked, handles errors, stays secure and does not quietly break other things.
Reviewing AI-generated code, explained
The usual failures are plausible-looking code that calls things that do not exist, secrets placed in the browser, missing error handling and changes far outside the task.
Type checks, tests, a security scan and reading the diff catch most problems in minutes.
Questions people ask about Reviewing AI-generated code
What is Reviewing AI-generated code?
Reviewing AI-generated code means checking what an AI wrote before it ships: that it does what was asked, handles errors, stays secure and does not quietly break other things.
Related terms
Code review is having someone other than the author read a change before it merges, to catch bugs, security issues and unclear code.
HallucinationA hallucination is when an AI states something false with confidence, such as a function that does not exist, a wrong fact or an invented source.
Automated testingAutomated tests are code that checks other code: unit tests check small functions, and end-to-end tests drive a real browser through whole user flows.
Vibe codingVibe coding is building software by describing what you want to an AI in plain language and iterating on what it produces, rather than writing the code line by line yourself.
Part of the Web Encyclopedia by Apex Flow Digital. Definitions are general knowledge, kept current, with no invented statistics.