SQL query analyzer that generates dialect-specific index DDL across 5 databases without connecting to any of them.

Most SQL performance tooling requires either a $400/month monitoring agent or asking models and hoping the advice applies to your database. The interesting architecture decisions: Heuristic engine runs first (<200ms), LLM is optional and additive — if LLM fails, you still get structured findings All dialect logic lives in one dialect_config.py — DDL templates, optimizer syntax, LLM system prompts, maintenance commands for all 5 DBs Schema-aware mode: paste DDL, get confirmed recommendations with real table names instead of placeholders Every analysis gets a permanent shareable URL Source: https://github.com/AutoShiftOps/querytuner Live: https://querytuner.com submitted by /u/sajjasudhakararao [link] [留言]