WordPress Content Guidelines: Ending Editorial Chaos

WordPress is introducing Content Guidelines as a new Gutenberg experiment to centralize editorial standards. This machine-readable foundation aims to solve “editorial drift” by providing a single source of truth for brand voice, tone, and structural rules, making them accessible to both human authors and AI content assistants within the admin UI.

Mechanistic Interpretability: Peek Inside the LLM Black Box

Mechanistic Interpretability is the ‘Xdebug’ of the AI world, allowing developers to reverse-engineer LLMs. By tracing ‘circuits’ and the ‘residual stream,’ we can understand why models hallucinate or reason. This post explores the technical tools like TransformerLens and how to debug neural networks like a senior software engineer.

Google Interactions API: Ending the Everything Prompt Chaos

The ‘Everything Prompt’ is dying. Google’s new Interactions API introduces persistent, stateful AI sessions and background agentic workflows. Learn why moving beyond ephemeral chat loops is essential for building reliable, high-performance WordPress integrations and how to manage long-running deep research tasks without timing out your server.

How to Run Claude Code for Free with Ollama and Local Models

Anthropic’s Claude Code is a productivity beast, but its monthly subscription cost can be a major bottleneck for independent developers. Learn how to use Ollama’s new Anthropic API compatibility to run Claude Code for free using local, open-source models like Qwen3-Coder. I’ll walk you through the setup and the environment variables you need.