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.
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.
A store you can launch in an hour is fine for a prototype. For a real business, the shipping zones, tax classes, asset loading and payment webhooks you set up on day one decide how much refactoring you do later.
Binary churn flags tell you that a user left but say nothing about the timing. This post covers discrete time-to-event modeling: why fixed intervals fit WordPress data, how right censoring skews a model, and a small PHP function for hazard rates.
Row-wise iteration is what makes most Pandas code slow. This walks through profiling with %timeit and memory_usage, replacing iterrows with vectorized operations, cutting memory with category types, and when to move to Polars or DuckDB instead.
A logistics director with all-green KPIs and 18% late shipments does not have a data problem. Scoped AI agents watching the TMS can tell you which handoff actually broke, and tell you on the morning it happens.
Academic causal inference stalls in applied work. Decision gravity is the fix: constructive decisions can live with an associative read, final ones cannot, and collider bias is what catches the people who guess wrong.
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.