If you've ever inherited a legacy system and asked "which tables are actually used, where, and how do they connect?" — that's the question Acacia DB tries to answer. It's a VS Code extension that scans your workspace for references to database tables and columns, then turns the raw matches into something you can navigate, rank, and diagram. No LLMs, no cloud calls — just a deterministic pipeline over your source tree and a tables_views.json schema file. The last three releases (1.0.0, 1.1.0, 1.2.0) reshaped the extension from a workspace scanner into a small analysis suite. Here's what landed. 1.0.0 — The pipeline rewrite 1.0.0 is the first stable release. The headline change is that the column-relationship analysis pipeline was rewritten end-to-end for both performance and correctness. Parallel column-link analysis. Column matching now runs in a worker_threads pool ( min(cpus, 8) workers), with an in-process async fallback when the worker bundle isn't available.…