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Tag: AI Assistants

AI, AI in WordPress, Development

Why WordPress devs still need critical thinking in AI

AI now generates faster than any of us can type, which makes judging the output the actual job. Where LLM code tends to break in WordPress: hooks that no longer exist, uncached get_option calls in loops, and raw SQL that HPOS will punish.

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AI

Senior data scientist skills: it’s not about the code

Senior data scientist skills are often mistaken for mastery of algorithms. The real gap between junior and senior practitioners is judgment: knowing when to pause, how to frame the problem, and what actually moves the business.

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AI, Development

Automating deep learning experiments with agentic AI

A practical way to stop babysitting deep learning runs: containerize your training script, add a health-check sidecar, and let an agent handle restarts and hyperparameter tweaks.

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AI, AI in WordPress, Core Updates, Development

WordPress AI Assistant is now built into WordPress.com

WordPress.com built its new AI Assistant directly into the block editor and Media Library. It edits blocks and generates images with Google’s Gemini models, though full layout control needs a Block Theme.

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AI, Bug Fixing, Development

Vibe coding security risks I keep finding in client code

AI agents optimize for code that runs, not code that is safe. Two failures I keep finding in agent-written WordPress code, hardcoded API keys and REST routes with no permission callback, plus the review habits that catch them.

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AI, Bug Fixing, Development

Agentic AI for repositories: automating READMEs and CI

Writing the README and wiring up CI is the part everyone puts off. OSA is a multi-agent tool that reads the repository, drafts the docs and docstrings, and generates the workflow files. Here is how it works and how to run it.

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AI, AI in WordPress, Development

Claude Code internal tooling that actually saves time

Claude Code pays off when you build it tools instead of asking it for snippets. A CLAUDE.MD map, real WP-CLI commands, and a small plugin audit script turned a four-hour debugging session into a check that runs in seconds.

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AI, AI in WordPress, Development

AI agent prompt fidelity: verified data vs guesswork

AI agents rarely tell you which parts of an answer came from your data and which came from the model’s memory. Here is how to score that split in bits, and how a loose tool schema leaves the agent guessing.

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AI, AI in WordPress, Development

Agentic RAG on SQL without changing your schema

Dumping a relational database into a vector store gives you a slow, expensive system that has forgotten its own schema. This covers hybrid retrieval instead: ReAct tool routing, why FAISS post-filtering returns nothing, and a PHP dispatcher for WordPress.

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AI, Development

Agentic AI supply chain: why dashboards can’t find the delay

Dashboards tell you a delivery was late. They do not say which team caused it. This post covers the MCP setup I use so Claude can read ERP, WMS and TMS timestamps and work out where the delay started.

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