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Tag: Backend

AI, AI in WordPress, Development

Drift detection: why a live ML model quietly gets worse

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.

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AI in WordPress, Development

The plugin queue doubled in 2025: what that means for your code

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.

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AI, Development

Fourier features and the spectral bias problem in MLPs

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.

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Core Updates, Development, E-commerce Development

What WooCommerce 10.5 changes about variation price caching

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.

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AI, AI in WordPress, Development

Retrieval-augmented forecasting: giving models a memory

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.

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