WordPress Workspace for Mac is in beta. It puts a site-aware agent, voice dictation and screenshot uploads on the desktop instead of in another browser tab, and it previews the Guidelines feature headed for Core.
Rust-based data libraries keep shipping, but Pandas still runs most of my production pipelines. Vectorized string operations, ast.literal_eval instead of eval, and the DataFrame constructor trick that beats df.apply(pd.Series) on big datasets.
Most AI pilots never make it past the demo. These are the five kinds of production debt that kill agentic AI systems in WordPress, from brittle prompt handling to the legal review nobody booked.
Recursive language models get a pointer to the data instead of having the whole thing pasted into the prompt. Why that beats ReAct and CodeAct on long-context work, and what it means for auditing a large WordPress codebase.
Six trade-offs that decide whether an AI feature survives production: what a cheap API really costs at scale, why a complex model gets expensive 18 months later, and when batch inference beats real-time.
Raw variables are rarely the best way to represent risk. How binning and Weight of Evidence keep a logistic regression stable and interpretable, and why missing income is a risk category of its own.
WordCamp US 2026 runs August 16 to 19 at the Phoenix Convention Center. The schedule covers Contributor Day, Showcase Day, and two days of sessions on WordPress and AI. Ticket tiers run from $25 for students to $750 for micro-sponsors.
WordPress 7.0 brings a provider-agnostic AI client, PHP-only block registration with autoRegister, and a minimum PHP 7.4. This is a practical walk through those changes, with code examples and where they help on real sites.
Mixing technical English tokens like run.py can push an AI coding assistant to drift in the embedding space, sometimes replying in Korean when prompted in Chinese. How task registers shape the behavior, and how to keep your prompts grounded.
A scoring layer that measures attribution and specificity, so you can catch confident hallucinations instead of trusting responses that just sound right. Includes the Python logic and a regression suite for CI.