A junior dev tried to delete the .git folder to undo a bad merge. Here is what to do instead: the three trees, the three git reset modes, git revert for commits you already pushed, and the reflog for when a hard reset takes the wrong thing.
WordPress data usually rots instead of crashing: postmeta grows, queries slow down, and reports stop matching reality. Ahmad Wael covers when to leave the core schema, how custom tables change your query times, and who has to own the data definitions.
Raw correlation makes campaigns look better than they were. Ahmad Wael walks through propensity score matching in Python: logistic regression for the scores, nearest neighbors for the pairs, and what happens to that 13% lift once selection bias is out of the way.
WooCommerce 10.7 drops an HPOS order request from 271 queries to 132, gives the Fulfillments API typed PHP methods, and hardens the REST API against XSS and CSRF. It also runs a database update, so stage it before you ship.
JPEG AI maps images into latent tensors, VVC targets up to half the bitrate of HEVC, and JPEG DNA stores pictures as biochemical sequences. What those standards change for anyone running WordPress at scale, plus a snippet for the new mime types.
Notes from the April 21, 2026 performance chat: what auto sizes fixes about the sizes attribute, why the Gallery block is holding up a core merge, and a wp_calculate_image_sizes filter that beats regexing the_content.
The Core Dev Environment Toolkit gives contributors a one-click wordpress-develop setup. The less good news: the core privacy component has nobody maintaining it, two PRs are waiting on review, and the 7.0 release schedule still has not landed.
Nearly 800 documentation issues triaged and over 200 closed, plus the WP-Parser problem that keeps DevHub out of sync with core. Also the DocBlock format the parser expects, and the three handbooks carrying the biggest backlogs.
A walkthrough of the VQ-VAE plus transformer pipeline I use for Minecraft world generation, including codebook resets for dead embeddings and weighted cross-entropy for blocks that barely show up in the data.
Models decay in production because the world keeps moving and the training snapshot does not. How data drift and concept drift differ, and the monitoring I use to catch both before a stakeholder does.