WordPress 7.0 is approaching, and the AI team is racing to meet the February 19 Beta 1 deadline. This week’s update covers the 0.2.0 release of AI Experiments, the progress of the Abilities API for core post management, and the release of the PHP AI Client v0.4.0. Learn what’s landing in core.
WordPress AI Client development is hitting its stride as contributors prepare for WordPress 7.0. The latest updates reveal a shift toward the Model Context Protocol (MCP), the removal of problematic streaming support for better hosting compatibility, and a new ‘kill switch’ filter for developers. Learn why these pragmatic architectural choices matter for your production sites.
WordPress AI Experiments 0.2.0 is here, and it’s a major step forward for the Abilities system. Senior dev Ahmad Wael breaks down the new AI-powered excerpt generation, the Abilities Explorer for debugging, and how to register custom AI actions using the matured framework. Stop chasing hype and start building structured AI features.
Stop over-engineering your AI projects. For most internal tools and MVPs, a dedicated RAG Vector Database like Pinecone is overkill. Learn how to build production-ready retrieval systems using only NumPy and SciKit-Learn for millisecond search speeds without the extra cost or complexity of specialized databases.
WP-Bench is the first official AI benchmark for WordPress development. It moves beyond general coding tasks to measure how LLMs handle WordPress-specific APIs, security, and coding standards. Using a real WordPress runtime as a grader, WP-Bench provides a transparent, execution-based evaluation of model performance. Learn how to run and contribute to it.
LLM Optimization is shifting from simple prompt engineering to complex context engineering and agentic workflows. As AI power becomes a given, the real bottleneck is cost and time-effective output extraction. Learn why WordPress developers need to focus on structured context, transients, and verifiable reasoning to build scalable AI integrations in 2026.
Stop treating LLMs like a magic 8-ball. To achieve a 5x coding performance boost, you must transition from Zero-Shot to Few-Shot Prompting. By providing your AI agent with specific code examples and context, you eliminate ambiguity, prevent hallucinations, and ensure production-ready results that follow your exact architectural standards.
Anthropic’s 2026 research reveals a 0.92 correlation between the sophistication of your prompt and the quality of the AI’s response. Prompt engineering isn’t dead—it has evolved from magic tricks into “cognitive scaffolding.” Learn why domain expertise is now the most critical part of the AI user interface and how to leverage it.
WordPress.com has updated its Model Context Protocol (MCP) server to support OAuth 2.1 and PKCE. This update simplifies AI agent integrations, offering a more secure authorization flow compared to manual token management. Learn why this move to standardized protocols is a major win for developers and how it secures your AI workflows.
WordPress developers often treat data like a mess of custom fields, but healthcare leads the way by using Knowledge Graphs and shared ontologies. Learn why switching from Custom Post Types to semantic entities and JSON-LD is the only way to build a future-proof WordPress site that machines and AI can understand.