AI-Generated Database Migrations Need Stricter Pre-Merge Checks Than Code Patches
Unlike regular code changes, database migrations that drop columns or truncate tables can make data permanently unrecoverable even if the commit is reverted, warranting a separate review process. Standard AI patch gates typically verify test passage and diff size, but these checks can miss destructive migrations that lack a valid rollback script or fail only against real production schemas. A more robust pre-merge gate should scan for destructive SQL keywords, apply the migration to a throwaway database, and verify that the down migration fully restores the original schema. If the rollback cannot reproduce the prior schema state, the migration represents a one-way change that should require explicit human approval before merging. The article, published as part of MonkeyCode's product outreach, provides a Python script using psql and pg_dump to automate this shadow-apply and round-trip parity check locally.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
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