Plugging in the OpenAI API is not engineering. Notes on what actually matters when you build LLM features on WordPress: token costs, attention limits, RAG over fine-tuning, and keeping a 30-second API call from taking down PHP-FPM.
Beau Lebens talked about agentic commerce at Stripe Sessions, where AI agents do the shopping. My take on the hard parts: live inventory data, checkout security for bots, and what MCP and the Abilities API actually change.
The CSPNet architecture splits feature maps so a lighter CNN does not cost you accuracy. What it fixes in DenseNet, how the two paths work, and the PyTorch code for the bottleneck block.
Where the WordPress Core AI work stands before 7.0: the MCP adapter moving to a standalone plugin, the connector approval experiment, and a release plan that puts polish ahead of new features.
The WooCommerce REST API documentation left its 4.2MB single-page site for per-endpoint files on developer.woocommerce.com. What that changes for coding assistants, raw markdown fetches, and doc updates that ship inside the PR.
Dynamic typing is fine in a notebook and expensive in a long-running pipeline. Notes on using type annotations, TypedDict, Literal and union types so a bad value fails at check time instead of four hours into a run.
Gutenberg 23.1 finalizes image uploads in parallel instead of one thumbnail at a time. It also adds an experimental taxonomy UI in the admin, Drawer and Autocomplete primitives, and a filter that hides the Classic block from the inserter.
Asking an LLM whether a value changed significantly turns a cheap comparison into a slow, untestable guess. Here is the split I use in WordPress: PHP thresholds decide when to act, and the model only writes the message.
WooCommerce added a Subscriptions Health Check tool under Status. It finds subscriptions stuck on manual renewal after the HPOS cache bug, plus active subs with missing or overdue payment dates. Here is what caused it, and what the changelog left out.
WooCommerce for Claude came out of Automattic’s Radical Speed Month. It uses MCP to give the model analytics lookup tables, a store knowledge layer and an AI-readiness score, all on one endpoint. Plus the provider pattern and how to run it locally.