AI Experiments 0.4.0 puts prompt-based image generation in the Block Editor and the Media Library, and adds a Generate Review Notes pass for accessibility and readability. It also points at the WordPress AI rename in 0.5.0.
LatentVLA drops natural language reasoning for self-supervised latent action prediction, using VQ-VAE codebooks and distillation to hit real-time speed. It also explains why open-loop NavSim scores flatter these models.
Running OpenClaw on bare metal, skipping the system prompt, and handing it admin API keys are the three setups that go wrong most. What to do instead, with a docker-compose file and a scoped IAM policy.
Claude Skills keep instructions in files the agent reads only when needed, which cuts the token overhead of always-on MCP tools. Subagents push it further by throwing away their own context once the job is done.
AI-generated code ships fast and then stalls, usually around month three, when nobody can safely change the file it all lives in. A WooCommerce example shows the monolith version next to the decoupled one.
Classic RAG runs one retrieval pass and stays predictable. Agentic RAG keeps searching until it has enough evidence, and pays for it in latency and tokens. How I pick between them, and what breaks when a loop has no budget.
WordPress 7.0 supports :hover, :focus, :focus-visible and :active inside theme.json for blocks and their variations. What that replaces, how the JSON looks, and the limits worth knowing before you refactor.
WordPress is featuring eight plugins every two weeks, picked from those with under 10,000 installs and less than a year in the directory. What the criteria check, and the code cleanup worth doing first.
Almost every WordPress vulnerability comes from a plugin or theme, not from core. Where the risk actually sits, the hardening I put on sites I manage, and the maintenance habits that keep them clean.
Demo agents fall over in production because errors compound across steps and prompts break when the business process changes. Structured output, LLM-as-a-judge evals and OKR alignment are what get a prototype across.