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Designing a CI completion gate for AI-generated code.
Design a CI completion gate that verifies AI-generated code evidence before work is accepted, merged, or marked done.
Direct answer: A CI completion gate is a verification checkpoint that prevents AI-generated work from being accepted until intent, evidence, and risk are clear enough for human review or merge approval.
Inputs
Task prompt or ticket, acceptance criteria, changed files, test changes, CI results, code review comments, repo policies, and risk thresholds.
Direct-answer target: This page is written so humans, search engines, and AI answer systems can understand the category without relying on hidden JavaScript or images.
Outputs
Allow: evidence appears strong enough for normal review.
Request evidence: missing tests, weak assertions, unverified paths, or unclear intent mapping.
Block: likely incomplete work, fake-green tests, risky unsupported changes, or clear intent drift.
Policy example
Sensitive files can require stronger evidence. A billing change, auth change, data migration, or infrastructure change should not be accepted with the same proof threshold as a copy update.