Three ways to get rows into Postgres from Python and what each one costs: the SQLAlchemy ORM, SQLAlchemy Core, and Psycopg3 COPY. Includes the refactor that fixed a memory leak at 100,000 rows and a rule of thumb for choosing between them.
Recall in an HNSW index slips as the vector database grows, and nothing in your logs will tell you. What ef_search actually does, why a Flat search makes a useful baseline, and when to pre-filter on metadata instead.
Notes on four Advent of Code 2025 puzzles where the obvious answer falls over: splitting beams, junction boxes, factory switches and reactor paths. The fixes are memoization, Union-Find, MILP in SciPy and an explicit DFS stack.
The difference between data drift and concept drift, the two tests I reach for first (K-S and PSI), and how I wire the check into a WP-CLI command so a drifting model triggers an alert instead of a bad quarter.
Agents pick the tool with the longer description, not the right one. What that length bias looks like in a WooCommerce integration, how to keep internal arguments out of the prompt, and why a proxy beats editing someone else’s MCP server.
The Plugins Team 2025 retrospective puts submissions at about 330 a week and reviews up 40.6%, with the same size team. Here is what the automated scans catch and how to run the Plugin Check plugin before the reviewers do.
WooCommerce 10.5 swaps full object serialization for stable signatures from a new CallbackUtil class, taking an 800-variation price lookup from about 500ms to 40ms. Dynamic pricing plugins now have to add their own factors to the cache hash.
Retrieval-augmented forecasting adds a search step to a time-series model, so it can pull similar windows out of history instead of leaning on frozen training weights. Covers embeddings, FAISS indexing and four ways to fuse retrieval with a forecaster.
Differential privacy noise hides the fairness gap when a bank only has a few thousand records. Across half a million records a federated model reached 96.94% accuracy with a 0.069% fairness gap, which is the case for joining a consortium.
High AUROC on MVTecAD does not mean a model survives a production line. Notes on input resolution, center cropping, background masking, and where early stopping usually goes wrong.