WordPress Core AI stops being an experiment in 6.9
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.
Author: Ahmad Wael
I'm a WordPress and WooCommerce developer with 15+ years of experience building custom e-commerce solutions and plugins. I specialize in PHP development, following WordPress coding standards to deliver clean, maintainable code. Currently, I'm exploring AI and e-commerce by building multi-agent systems and SaaS products that integrate technologies like Google Gemini API with WordPress platforms, approaching every project with a commitment to performance, security, and exceptional user experience.
Seeded topic modeling techniques for cleaner NLP pipelines
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.
Why sharded indexing fixes slow package installs
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.
Why managed hosting beats running your own WordPress server
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 removes AccessiblePrivateMethods: the fix
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.
Why 90% text-to-SQL accuracy still breaks in production
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.
Building a data-driven goal tracker with Python and Neon
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.
Applied statistics and machine learning in production 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.
Why your AI project needs a knowledge graph
A knowledge graph has three layers: an ontology, controlled vocabularies and observational data. This post walks through what each one does, and shows the WordPress version of the shift from flat meta_query lookups to taxonomy-based entity relationships.
What breaks in retrieval-augmented generation at scale
Retrieval-augmented generation is past the demo stage. Notes on chunk size as an experimental variable, why HNSW precision degrades as the index grows, the latency cost of extra retrieval layers, and a transient wrapper for caching retrieval in WordPress.