WordPress AI Experiments 0.2.0 adds an Abilities Explorer
Version 0.2.0 of WordPress AI Experiments adds excerpt generation that authors can edit or reject, and an Abilities Explorer screen for testing every registered ability in the browser.
Version 0.2.0 of WordPress AI Experiments adds excerpt generation that authors can edit or reject, and an Abilities Explorer screen for testing every registered ability in the browser.
Keeping up with CSS is a filtering problem more than a reading problem. I traded years of RSS folders for the I Heart CSS squad on DailyDev, and this is what a curated feed does that a raw aggregator never did.
WordPress 6.9.1 is a maintenance-only release set for February 3, 2026, with bug scrubs running from January 20. These are the dates that matter, plus why I keep minor auto-updates off on sites with custom hooks.
Cursor turns a four-hour refactor into a 20-minute one, but only with a plan. My four steps: spot the trigger, write a plan.md, let Claude execute with test scripts, then compare the output against the original.
Junk topics usually mean the pipeline is wrong, not the data. Here is how seeded KeyNMF and an LLM summarization step keep a topic model focused without burning the whole compute budget.
Package installs crawl because the client parses one giant metadata file before it does anything useful. Sharded indexing (CEP-16) splits that file per package, and there is a PHP example here for internal plugin repositories.
Running your own VPS looks cheaper right up until the traffic spike. Here is what managed WordPress hosting actually handles for you: server-level caching, a persistent Redis object cache, brute force filtering at the edge, and the patching you stop doing.
WooCommerce 10.5 drops the AccessiblePrivateMethods trait that let private methods act as hook callbacks. Extensions still using it will throw a fatal error. The replacement is a public method carrying an @internal annotation.
Ninety percent accuracy sounds fine until the wrong JOIN lands on a production database. This covers why Execution Accuracy beats Exact Match, what Spider 2.0 exposed about enterprise schemas, and how to ground an LLM on the schema you actually have.
Notes on building a data-driven goal tracker with Python, Streamlit and Neon: one schema for daily habits and quarterly milestones, ISO-8601 week boundaries so the weekly numbers do not drift, and a REST API bridge when the data has to land in WordPress.