The first WooCommerce Checkout Summit runs in Palermo in April 2026. One track, no recorded sessions, and James Kemp from Woo talking through the architectural calls behind the Block-based checkout.
The host and device paradigm decides whether your GPU works or waits. Where CPU and GPU interaction turns into a bottleneck, how CUDA streams overlap transfers with compute, and which one-line habits trigger a synchronization stall.
Clever WordPress code tends to fall over in production. What changes when you optimize for reliability instead: a chunked WP-CLI batch pattern, debugging a failing WooCommerce checkout methodically, and using LLMs for edge cases rather than features.
The WP AI Client is up for a core merge with Beta 1 ten days out and no PR to test. Notes on that proposal, the admin reskin in ticket #64308, the Release Squad now in place, and what Gutenberg 22.5 changes for 7.0.
How I use Claude Code with WordPress Studio to scaffold plugins: setting up a local site and terminal, installing the CLI, the context a prompt needs, and why the naive admin notice it hands you is an XSS bug waiting to happen.
The contrast-color() function only works in Safari and Firefox so far, so dynamic text colors still need a workaround. Here is the OKLCH lightness trick I use in block themes and WooCommerce stores: one declaration, no JavaScript.
Gutenberg is experimenting with content guidelines: a machine-readable home in the admin for voice, tone and structural rules, so authors and AI assistants work from the same standards instead of a PDF nobody opens.
Generic hosting and WordPress hosting differ in the parts nobody advertises: PHP worker counts, server-level and object caching, and a firewall that knows WordPress attack patterns. Here is what to check before you sign up.
Pydantic v2 runs on a Rust core, but only if your models let it. Four changes that keep validation on the fast path: Annotated constraints instead of field validators, model_validate_json, TypeAdapter for batches, and leaving from_attributes off.
Mechanistic interpretability is the Xdebug of AI research: hook a forward pass, zero out a neuron, and see what the model was actually doing. A walk through the residual stream, TransformerLens, circuit tracing and steering vectors.