The role PostgreSQL plays
PostgreSQL commonly controls relational application data, permissions, functions, and managed backends. Its surrounding reliability depends on schema search paths, RLS, constraints, migrations, JSON fields, and connection limits, so the visible error may originate outside the file the AI last changed.
Specific failure patterns to inspect
For Database Not Saving, common causes include policy denial, schema mismatch, silent promise failure, wrong environment. Generated implementations also tend to omit defensive error handling, version checks, idempotency, or a safe difference between public configuration and private credentials.
A safer diagnostic sequence
Preserve the current branch and exact error. Then check one test record; capture the server response; compare table and payload fields. Follow one test request across the interface, server or provider, and durable data rather than making several speculative code changes.
Repair boundaries
The repair should change the narrowest contract that is actually broken. Broader refactoring is justified only when duplicated ownership or an unsafe architecture would otherwise let the failure return.
What to avoid
Do not relax all data rules or experiment on live customer records. Do not upgrade the entire PostgreSQL stack during a contained incident unless version incompatibility is the proven cause.
What a complete handoff includes
The handoff identifies the root cause, affected code or settings, safe test case, deployment note, and any remaining follow-up. The repaired behavior should be protected by a repeatable check.