What code review process do you use for AI-generated code?

Question

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?