What is the safest way to use vibe coding in production software?

Use AI to draft small changes, then require a named owner, risk classification, independent review, tests, security checks, browser verification, and rollback notes before the change can merge or deploy.

Is AI code review enough for AI-generated code?

No. AI review can help find issues, but production readiness still needs human accountability, executable tests, dependency and secret checks, route QA, accessibility checks, analytics validation, and release evidence.

Does a GitHub Copilot review count toward required approvals?

No. A GitHub Copilot review can add comments and suggested changes, but it should not replace required approvals, required status checks, protected branch rules, code scanning, resolved conversations, stale-review handling, or a qualified human reviewer for production software.

What should happen after an AI assistant applies a code review suggestion?

Treat the applied suggestion as a new diff. Rerun tests, linters, dependency checks, code scanning, secret scanning, browser QA, and any route-specific checks, then request human re-review before merge or deployment.

Who should approve AI-generated code before it merges?

A qualified human engineer should approve it, and the reviewer should be separate from the person or agent that generated the change. Security-critical files should require a higher review threshold plus automated evidence such as SAST, DAST, dependency review, secret scanning, and written exceptions for any critical finding that is not fixed before merge.

What should we bring to a first AI code-review governance call?

Bring a redacted pull request, branch-protection summary, required status-check names, code-owner rules, scanner outputs, failing-test examples, release-owner names, exception process, rollback expectations, timeline, budget readiness, decision owner, success metric, and first safe proof step. Do not bring raw prompts, repository tokens, private source code, customer data, secrets, CI/CD credentials, production environment access, or deployment rights until the review boundary and access policy are approved.

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