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Tag: AI Assistants

AI in WordPress, Core Updates, Development

WordPress AI agent skills cut the testing loop to seconds

WordPress now has a repository for AI agent skills, starting with wp-playground. It uses the Playground CLI so an agent can mount a plugin or theme, wait for WordPress to be ready, log in, and check its own work in seconds.

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AI, Development

Data science as engineering, not a science project

Data science still gets treated as an academic exercise. Engineering constraints, caching, timeouts and safe fallbacks are what turn a model into something you can actually run on a client site.

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AI in WordPress, Development

WordPress Studio CLI 1.7.0 brings real local dev automation

WordPress Studio 1.7.0 ships a CLI that can create, start, stop and delete local sites, and run WP-CLI inside the Studio environment. What the studio site and studio wp commands do, plus how to let a coding agent use them without losing a site.

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AI, Development

How Cursor codebase indexing actually works

Cursor’s indexer is a RAG pipeline: tree-sitter splits code at logical boundaries, embeddings land in Turbopuffer, and Merkle trees keep the index in sync. Here is how the pieces fit together, and what actually leaves your machine.

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AI, AI in WordPress, Development

WP-Bench puts AI models through a real WordPress runtime

WP-Bench is the official WordPress AI benchmark. It runs model-written code inside a real WordPress runtime instead of asking a human whether the code looks right. How to run it, and what it still gets wrong.

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AI, Development

Getting a data science job in 2026 without 400 rejections

Most data science applicants in 2026 are studying the wrong things and applying everywhere at once. Notes from reading hundreds of resumes: what to learn first, how to aim applications, and why referrals do the work.

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AI, AI in WordPress

LLM optimization past the perfect prompt

Prompt engineering has stopped being the interesting part of LLM work. This is about context engineering, caching structured context in transients, and checking that the model’s reasoning holds up.

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AI, AI in WordPress, Development

Few-shot prompting for WordPress code you can ship

Zero-shot prompts make the model guess your coding standards. Feeding it two or three working examples from your own code gets output that matches your prefixes, namespaces and security patterns.

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AI, AI in WordPress

Prompt engineering sophistication sets the ceiling

Anthropic’s January 2026 report puts the correlation between prompt sophistication and response sophistication at 0.925. Prompt engineering did not die, it moved from magic phrases to knowing your domain well enough to frame the problem.

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AI, AI in WordPress, Development

WordPress.com MCP integrations now run on OAuth 2.1

WordPress.com switched its MCP server to OAuth 2.1 with PKCE, so AI agents no longer need long-lived tokens pasted into a config file. What the code verifier protects against, and what an authorized agent can do on your site.

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