tl;dr:“In a few evenings of vibe coding, I implemented the plan explorer for PostgreSQL. It iterates over a search space and generates visualizations that show when the plan changes and how many tuples are expected versus the actual number returned. This blog post examines the “art” of query optimization. It discusses the plan explorer tool, the images the tool generates, and the insights the tool provides into the decisions made by the PostgreSQL query optimizer.”