⚡ Why AI-generated code needs deployment gates

Throughput is not correctness

Large language models excel at proposing diffs that compile and read plausibly. They do not automatically preserve implicit invariants: authorization boundaries, idempotency, database migrations compatible with live traffic, or operational limits of downstream services.

Why human review does not scale

Reviewers skim diffs, run spot checks, and rely on intuition. That fails when change volume spikes. What scales is deterministic validation against the same structured inputs your automation can supply — snapshots, schemas, and policy — with scores and verdicts, not prose.

What a deploy gate adds

A gate (for example Verixet's pre-deploy workflow) returns fields like safe_to_deploy and risk_score so CI can fail closed without debating every line. Policy modes let you start in advisory posture and tighten enforcement as confidence grows — without changing the underlying engines.