Prompting an LLM for plugin and WooCommerce code ships fast, then leaves you debugging plumbing you never wrote. Where vibe coding falls apart in WordPress, and what the vetted version of the same function looks like.
WordPress now has a repository for AI agent skills, starting with wp-playground. It uses the Playground CLI so an agent can mount a plugin or theme, wait for WordPress to be ready, log in, and check its own work in seconds.
Raw JSON in an embedding model spends your token budget on braces and quotes. Flattening product data into plain sentences gives the model the kind of text it was trained to read.
A notebook demo is not production. This is what sits between the two: an API contract, a container, infrastructure that suits the workload, and monitoring that catches drift before the predictions quietly go bad.
WordPress Studio 1.7.0 ships a CLI that can create, start, stop and delete local sites, and run WP-CLI inside the Studio environment. What the studio site and studio wp commands do, plus how to let a coding agent use them without losing a site.
Metadata filters only take music discovery so far. How CNNs read audio as Mel-spectrograms, how contrastive learning with InfoNCE loss shapes the embeddings, and why the inference belongs outside WordPress.
Notes from the AI contributor meeting: AI Experiments 0.2.0 is out, the Core Post Management abilities PR is under review, PHP AI Client v0.4.0 shipped, and the MCP Adapter stays a canonical plugin. February 19 is the Beta 1 cutoff.
The WordPress AI Client is being lined up for a core inclusion proposal. January 2026 contributor notes cover streaming leaving the PHP client, a kill switch filter for locked-down sites, and MCP for tool discovery.
WordPress AI Experiments 0.2.0 adds AI-generated excerpts in the block editor and an Abilities Explorer screen under Tools. Here is what the release changes for plugin developers, plus the code for registering your own ability.
For a docs bot or an internal MVP, a dedicated vector database is more infrastructure than the problem needs. Vector search is matrix multiplication, and NumPy handles it in milliseconds. Includes a small store class, the SciKit-Learn upgrade path, and the four signs you have outgrown both.