The experimental core dev toolkit is a desktop app built on Playground and WASM. It bundles Git, Node and npm, so a contributor can clone wordpress-develop and generate a Trac patch without installing anything first.
How I pull OpenStreetMap data into Power BI: an Overpass QL query that returns filtered CSV, wired up through the Advanced web connector and plotted on Azure Maps. No GeoJSON middleware, no paid connector.
In a 200-task benchmark, nearly 91% of ReAct agent retries were spent on errors that could never succeed. The three fixes I use: an error taxonomy, per-tool circuit breakers, and tool routing that stays in code.
Why analytics reports come back slow and wrong, and why the fix is structural: the three modeling stages, the move from write-optimized OLTP like WooCommerce to read-optimized OLAP, the star schema, and SCD Type 2.
The View Transitions API is Baseline now, so smooth page transitions in WordPress no longer need a PJAX library. Includes the opt-in rule, four CSS recipes, and the race condition that makes them look janky.
Matplotlib draws a smooth curve as hundreds of straight segments. Orthogonal distance fitting fits Bezier curves to the same function instead, so a chart that shipped as 250+ segments comes out as two.
Most sites do not need to go headless. This walks through when the architecture is worth it, how your rendering choice (SSG, SSR or ISR) changes the hosting you need, and what to check on the WordPress backend before you commit.
Calvin Ho’s Taipei agency builds Web3 and CRM integrations on WordPress.com instead of a self-managed VPS. What that choice buys them, the transient-cached API pattern behind it, and what self-hosting really costs in dev hours.
One LLM cannot draft emails, read documents and optimize a sales pipeline well. A look at splitting the work across reasoning, orchestration and execution layers, with TD learning doing the sequential decisions.
Metric depth, class-agnostic segmentation and geometric fusion turn ordinary photos into a labeled 3D scene. Includes the KD-tree voting code that took label coverage from about 20% to 78% of a point cloud with no extra annotation.