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.
After 14 years I moved most of my work out of the IDE and into the terminal: Claude Code in Warp, a Git worktree per agent so they stop colliding, and stored slash commands so I am not retyping the same prompt.
Six months in, WordPress Core AI has a stable shape: the Abilities API lands in 6.9, WP Client AI abstracts the LLM providers, and the MCP adapter turns a site into a server that agents can call.
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.
Notes on porting statistical models into WordPress: where research gets diluted instead of distilled, how real-time aggregates in user meta leak data through race conditions, the atomic SQL fix, and why a bigger LLM is the wrong answer to arithmetic.