TDE

This week’s Postgres landscape is shaped by two converging pressures: the maturation of core engine capabilities that previously required third-party workarounds, and a growing application of AI tooling across the database engineering lifecycle — from query optimization to static vulnerability analysis. A 20-year-old buffer overflow surfacing through an AI scanner is a useful reminder that operational hygiene and tooling modernization are not separate concerns.