I have been thinking about this a lot lately.
As AI tools become part of daily development, generating code is getting easier. But reviewing that code properly is still very important.
I want to learn how other developers handle this.
When AI generates code for you, what review process do you follow before you keep it?
I am interested in questions like:
- Do you review everything line by line?
- Do you trust AI for boilerplate only, or also for business logic?
- What do you check first: correctness, security, performance, readability, or architecture?
- Do you use a checklist?
- How do you catch subtle bugs or bad assumptions?
My rough thinking is something like this:
- understand the code fully before keeping it
- verify logic against requirements
- test happy path and edge cases
- check security and performance concerns
- refactor to match project standards
- never merge code only because “it works”
I would really like to hear practical workflows from real developers and teams.
What is your process for reviewing AI-generated code?
