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.
What the Astro MDX integration is actually good for, the two patterns I use in production, and the two places it bites: formatters mangling JSX, and the RSS package refusing to render MDX.
Retrieval can work perfectly and still hand the model two documents that contradict each other. A conflict detection layer, the two heuristics that catch most enterprise cases, and cluster-aware recency for resolving them.
Asking a chatbot for a WooCommerce snippet is a lever pull, and the losing pulls are the hard ones to spot. Where LLM generated code breaks WordPress sites, what it does to coding standards, and why per-token pricing makes it worse.
Prompting stops scaling after a few sessions. Here is how agent skills put your recurring logic into a SKILL.md file instead, with a weekly visualization example and the directory layout I use.
Cowork gets written off as Claude Code for people who don’t code. I use it for architecture work and multi-file debugging, and this is how I keep the context window lean, why I stay in plan mode, and which repeat jobs I turned into skills.
The 512-token split is the default in every RAG tutorial, and it quietly ruins answers on real documents. What I use instead: sentence windows, hierarchical chunking, layout-aware table parsing, and RAGAS to check whether any of it worked.