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Five Things To Have In Place Before Your First AI-Assisted Deploy

Notes from the practice

Not theory — the specific, checkable things worth having in place before AI-generated code reaches production.

1. A named reviewer, not a rotating one

Someone specific is accountable for the review, every time — not "whoever's around."

2. An automated security and secrets scan on every change

Run before merge, not as an occasional audit.

3. A test coverage floor that AI-generated code has to clear

The same bar you'd hold a human engineer to — not a lower one because "the AI wrote it."

4. A record of what changed and why, that survives past the PR

When something breaks six months later, you need to reconstruct the decision, not just the diff.

5. A clear line for what requires human sign-off versus what can auto-merge

Not everything needs the same level of scrutiny — but the line should be a decision, not a default.

None of this is exotic. It's the same discipline good engineering teams already apply — just made explicit enough to survive AI moving faster than a human would have.