CSPNet architecture: a lighter CNN that keeps its accuracy
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.
Tag: APIs
WordPress Core AI: the MCP adapter goes standalone
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.
WooCommerce REST API docs moved to a faster new home
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.
Python type annotations that keep data pipelines stable
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 update: parallel uploads and native taxonomies
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.
Production-grade AI agents: keep the logic deterministic
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.
The Subscriptions health check tool and the HPOS cache bug
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.
Inside WooCommerce for Claude, Automattic’s MCP experiment
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.
Interrogating vague metrics: what a 5x improvement hides
A “5x improvement” on its own tells you nothing. Three questions pull it apart: which dimension moved, from what baseline, and against which period. Examples from Core Web Vitals, model accuracy, and a transient cache bug that faked a 10x speed boost.
Google’s Prompt API ships a 4GB model to Chrome users
Google’s Prompt API is Chrome-only, downloads a 4GB Gemini Nano model without asking, and requires developers to acknowledge Google’s Generative AI Prohibited Uses Policy. My case against calling that a web standard.