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Category: AI in WordPress

AI, AI in WordPress, Development

Human-in-the-loop agentic workflows that hold up in production

Autonomous agents fail in ways that are expensive to clean up. This is how LangGraph interrupts and checkpointers let a person approve a step mid-run, plus the idempotency mistake that made my content agent publish something I never signed off on.

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AI, AI in WordPress, Core Updates, Development

Testing the community AI connectors for WordPress 7.0

WordPress 7.0 ships the PHP AI Client, and the community has already built connectors for Grok, Mistral, Ollama and OpenRouter. What each one covers, how provider registration works, and the switching case worth testing first.

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AI in WordPress, Core Updates, Development

What the WordPress 7.0 AI client changes for plugins

Core now ships a provider-agnostic PHP API for AI work. The SDK and wrapper split, the fluent builder for text and image generation, feature detection before you draw any UI, and why bundling php-ai-client yourself now fatals.

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AI, AI in WordPress, Development

How to make Claude Code remember its own mistakes

Claude Code forgets everything when the session ends. The setup I use: a post-mortem command that writes to CLAUDE.md, skill files for the quirks of the stack, and a daily pass over the logs.

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AI, AI in WordPress, Development

Agentic RAG failure is a loop bug with a bigger bill

Agentic loops fail quietly: the same query retried with new wording, retries with no circuit breaker, a context window full of raw JSON. Three patterns, how to measure them, and a PHP budget gatekeeper.

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AI in WordPress, Core Updates, Development

How WordPress Playground MCP connects AI agents to your site

WordPress Playground MCP connects Claude Code or Gemini CLI to a Playground instance running in your browser. The agent reads files, runs PHP and queries the database itself, which cuts out most of the copy-paste during plugin testing and debugging.

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AI, AI in WordPress, Development

How OpenAI prompt caching actually cuts your token bill

OpenAI prompt caching takes 90% off repeated tokens, but only for prefixes over 1,024 tokens and only when the static part of your prompt comes first. Here is a Python example plus the ordering mistake that kills cache hits.

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AI, AI in WordPress

LLM agent evaluation before you ship to production

Offline evaluation for LLM agents: routing accuracy, LLM-as-judge scoring, and RAG faithfulness, plus the quality gate I use to block a deploy when the scores come in under threshold.

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AI, AI in WordPress, Development

Plugin Directory MCP Server: submit plugins from your IDE

WordPress.org now runs an MCP server for the Plugin Directory. It lets AI editors like Cursor and Claude validate readme.txt, check submission status, and submit plugins without leaving the editor.

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AI, AI in WordPress, Development

AI coding agents in WordPress Playground, wired with MCP

The @wp-playground/mcp package lets an AI client drive a Playground instance over MCP: run PHP, write files, query the database and check the front end, all inside the browser.

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