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Category: Development

AI, Development

Dependable systems beat clever code in production

Clever WordPress code tends to fall over in production. What changes when you optimize for reliability instead: a chunked WP-CLI batch pattern, debugging a failing WooCommerce checkout methodically, and using LLMs for edge cases rather than features.

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AI, Core Updates, Development

WordPress 7.0 development: an AI client with no PR yet

The WP AI Client is up for a core merge with Beta 1 ten days out and no PR to test. Notes on that proposal, the admin reskin in ticket #64308, the Release Squad now in place, and what Gutenberg 22.5 changes for 7.0.

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AI, AI in WordPress, Development

Building WordPress plugins with Claude Code and Studio

How I use Claude Code with WordPress Studio to scaffold plugins: setting up a local site and terminal, installing the CLI, the context a prompt needs, and why the naive admin notice it hands you is an XSS bug waiting to happen.

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Accessibility, Development, Front-end

A CSS contrast color approximation that ships today

The contrast-color() function only works in Safari and Firefox so far, so dynamic text colors still need a workaround. Here is the OKLCH lightness trick I use in block themes and WooCommerce stores: one declaration, no JavaScript.

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Development, Gutenberg

How WordPress content guidelines stop editorial drift

Gutenberg is experimenting with content guidelines: a machine-readable home in the admin for voice, tone and structural rules, so authors and AI assistants work from the same standards instead of a PDF nobody opens.

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Development

WordPress hosting vs web hosting: PHP workers and caching

Generic hosting and WordPress hosting differ in the parts nobody advertises: PHP worker counts, server-level and object caching, and a firewall that knows WordPress attack patterns. Here is what to check before you sign up.

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Development

Pydantic performance: 4 fixes for faster validation

Pydantic v2 runs on a Rust core, but only if your models let it. Four changes that keep validation on the fast path: Annotated constraints instead of field validators, model_validate_json, TypeAdapter for batches, and leaving from_attributes off.

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AI, Development

Mechanistic interpretability, or how to debug an LLM

Mechanistic interpretability is the Xdebug of AI research: hook a forward pass, zero out a neuron, and see what the model was actually doing. A walk through the residual stream, TransformerLens, circuit tracing and steering vectors.

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AI, AI in WordPress, Development

Staying relevant as a senior analytics consultant in 2026

Agentic analytics moves the consultant’s job from writing queries to architecting the systems agents read from. What that looks like in practice, including a clean WordPress REST endpoint built for agent consumption.

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AI in WordPress, Development

How I set up Claude Code context for real projects

How I set up Claude Code context: local docs and meeting transcripts in a /knowledge folder, a .claudignore that keeps the agent away from secrets, and a bash script that bundles only the files a given feature needs.

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