Three habits that stop a coding agent inventing hooks and tables: an AGENTS.md file it has to keep updated, real documentation and schema files in the context, and a fresh thread when the task changes.
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.
A neural network trained on the Mandelbrot set comes out blurry because of spectral bias. Multi-scale Gaussian Fourier Features fix that by putting the high frequencies into the input instead of asking the model to find them.
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.
Hosting is a technical decision, not a marketing one. What to check before you buy: PHP 8.3 or newer, Redis object caching, WP-CLI access and guaranteed CPU instead of burstable, plus why a $5 server can cost $500 the first time MySQL dies.
WordPress 7.0 drops PHP 7.2 and 7.3 in April 2026 and makes 7.4 the minimum. What that means for older sites, why the project is doing it, and why 8.x is the version you actually want.
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.
An LLM hands you one confident answer and hides the trade-offs. Probabilistic multi-variant reasoning asks it for several options plus the ways each one fails, and leaves the decision with you.