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Tag: AI Assistants

AI, AI in WordPress, Development

How Recursive Language Models get around context rot

A million-token context window does not mean a model can reason across a million tokens. Recursive Language Models hand the context to a sandboxed Python REPL and let the model write code to partition and query it, which is how DSPy now implements the strategy.

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AI, Development

LLM optimization techniques worth reading from January 2026

The January 2026 Towards Data Science pieces I actually used: Ryan Pegoud cutting LLM memory 84% with Triton fused kernels, ACE context engineering, and Hugo Lu on the ceilings at Databricks and Snowflake.

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AI, Development

Multi-agent systems scaling: more agents is not the fix

Adding agents to a weak system mostly adds noise. Notes on DeepMind’s scaling paper: the 17.2x error amplification in uncoordinated swarms, where the four-agent plateau shows up, and the archetypes and centralized orchestrator I use instead.

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AI, AI in WordPress

How an AI website builder cleared a 50 message inbox

Tammy Silva’s LinkedIn side project turned into 50 messages a day. She used an AI website builder to put up a WordPress hub in an afternoon, moved lead capture off DMs, and filled 10 coaching slots in two days. Includes the hook I use to route inbound leads.

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AI, AI in WordPress, Development

Vibe coding and the code you no longer understand

Prompting an LLM for plugin and WooCommerce code ships fast, then leaves you debugging plumbing you never wrote. Where vibe coding falls apart in WordPress, and what the vetted version of the same function looks like.

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AI, Development

Most physics-informed neural networks are far too big

Research PINNs are routinely tens to hundreds of times bigger than the problem needs. Burgers’ equation plateaus at about 150 parameters, and a hyperelasticity model I saw used 424x more than necessary. Start small and scale only when the physics loss will not converge.

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AI, Development

Using AI coding tools without shipping slop

How I use Cursor, Copilot, and Claude on real client work: mapping an unfamiliar legacy codebase, moving a decade-old build stack to Vite, and getting tests that cover failure modes instead of just the happy path.

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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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