When your data outgrows your laptop’s RAM, Pandas stops being enough. Here’s how PySpark spreads the work across a cluster, why lazy evaluation matters, and a first DataFrame to get you started.
Off-the-shelf LLMs make poor synthetic survey respondents because they collapse to the mean. Unlearning memorized statistics with gradient ascent brings back the spread you see in real populations.
The Core AI team has new leadership, the Abilities API is in core, and the WP AI Client is headed for WordPress 7.0. Here’s why a shared infrastructure beats isolated AI plugins, and how to register your functions as Abilities.
A static RAG pipeline goes stale fast. Here’s why grounding LLMs with live search results works better for real-time facts, and how to wire a search API into your WordPress backend with PHP and transients.
I stopped hand-reviewing every line my coding agents write. What I do instead: fine-grained permissions in settings.json, a strict deny list for destructive commands, and a second agent that reviews the first one’s work.
I spent months trying to make Claude Code my main tool, but since GPT-5.5 I’ve moved complex WordPress refactoring back to OpenAI Codex. Here’s my setup: reasoning levels, Playwright MCP, and a worktree alias.
Chunk-and-embed RAG loses the hierarchy that gives a 200-page contract its meaning. How the Proxy-Pointer framework indexes structural breadcrumbs instead of raw text, and how the two-stage retrieval works in Python.
MCP servers are becoming the plugin bloat of the AI era. Why a sandboxed CLI gives an agent more capability per token than a menu of narrow tools, and how to keep shell access from being a liability.
I stopped hand-holding Claude Code and gave it a nightly review instead: a self-reflection skill, a 2 AM cron job, and a rules file it edits itself. This is the setup I run on real WordPress work.
Every AI harness keeps its own memory, so moving from Cursor to Claude Code means starting from zero context. Here is the shared layer I build instead: lifecycle hooks writing into Neo4j, plus the batch job that turns raw events into notes.