Capture your real MySQL slow log, push it through a MySQL→Postgres transform pipeline, and replay against Postgres. Every failure in replay is one you don’t find in production.
A full LLM-driven tuning loop with four real outcomes: a successful apply, an automatic rollback on regression, a safety-layer rejection, and a hint-driven redirect. No recommendations without measurement.
Build a capacity benchmark from real captured traffic, sweep 1x → 50x, and drive PostgreSQL into saturation on purpose so you find the knee before production does.
From git clone to capturing a real PostgreSQL workload and replaying it against a test target — end-to-end on your laptop, with every command actually run.