Coding with AI
How to review AI-generated code before deployment
Review behaviour, security boundaries, failure handling, tests and diffs rather than trusting plausible-looking output.
By AppLaunch Editorial · Reviewed 2026-08-25
Direct answer
Treat generated code like an untrusted contribution: understand the diff, check data and authorization boundaries, run targeted and broad tests, inspect dependencies and verify the real user path. Passing syntax is evidence of compilation, not correctness.
What this means in plain English
AI-generated code should be reviewed like code from an unknown contributor. Read the full change, confirm it matches the request and check permissions, data changes, secrets and new dependencies.
Run a test that proves the original problem or requirement, then test failure and unauthorised cases. Compilation shows that syntax is acceptable; it does not prove that users are safe or the behaviour is correct.
What must a human or trusted gate verify?
| Intent | Diff matches requested behaviour and scope |
|---|---|
| Risk | Auth, secrets, data mutation and dependency changes |
| Runtime | Critical path plus failure and rollback tests |
A simple example
An AI adds an admin delete button and a working API call, but the server route checks only whether the user is logged in. A security review catches that normal users could call it directly even though the button is hidden.
What to do, step by step
1. Read the entire diff in context.
Start here before buying anything or changing several settings at once. It gives you a clear starting point based on intent: diff matches requested behaviour and scope. Write the result down so you can compare it later.
2. Run static checks and targeted tests.
Use the same files, versions and settings that the real project will use. A quick test with an empty or different setup can look successful while completely missing the problem you are trying to solve.
3. Exercise the original bug or feature end to end.
Try the busiest realistic situation, not the easiest one. Include the people, data, traffic or background work you genuinely expect, then watch for slowdowns and errors rather than relying on a single headline number.
4. Deploy gradually with observability.
Finish by checking the result against runtime: critical path plus failure and rollback tests. Keep the old setting or release available until you know the change works and can be reversed safely.
One more useful tip
Review the actual diff rather than the AI’s summary. Summaries can omit accidental files, broad refactors or changed configuration.
Common mistakes and how to avoid them
Reviewing only the assistant summary.
This gives a misleading or unsafe result because it leaves out intent. A better approach is to read the entire diff in context, then check the result before making the change permanent.
Accepting invented APIs.
This gives a misleading or unsafe result because it leaves out risk. A better approach is to run static checks and targeted tests, then check the result before making the change permanent.
Skipping tests because the change is small.
This gives a misleading or unsafe result because it leaves out runtime. A better approach is to exercise the original bug or feature end to end, then check the result before making the change permanent.
Words explained
- API
- A defined way for one program to send requests to another program or service.
Quick checklist
- Read the entire diff in context.
- Run static checks and targeted tests.
- Exercise the original bug or feature end to end.
- Deploy gradually with observability.
Common questions
What is the simple answer?
Treat generated code like an untrusted contribution: understand the diff, check data and authorization boundaries, run targeted and broad tests, inspect dependencies and verify the real user path. Passing syntax is evidence of compilation, not correctness.
What should I check first?
Start with intent: diff matches requested behaviour and scope. That is usually more useful than choosing from a marketing label or copying somebody else’s setting.
How can I make the change safely?
Read the entire diff in context. Then change one thing at a time, keep a backup or old version, and use the same real-world test after each change.
What is the easiest mistake to avoid?
Reviewing only the assistant summary. Avoiding that one mistake makes the rest of the comparison much more trustworthy.