WordPress 7.0 may merge the WP AI Client into Core, giving plugins one provider-agnostic API for calling models instead of each shipping its own SDK. Notes on the Connectors keychain, the package size argument, and what it changes for developers.
Cron jobs and hope are not a data pipeline. Ahmad Wael walks through an ETL setup for crime trend data with Python, Prefect and PostgreSQL, including schema validation, automatic retries and a Metabase dashboard running in Docker.
WordPress 6.9 shipped the Abilities API, and the MCP Adapter is what lets AI agents find those abilities and call them. Ahmad Wael covers flagging an ability for MCP, the two transport methods, custom servers, and keeping permission callbacks tight.
Smashing Magazine’s February 2026 wallpapers collection, with the designs worth grabbing and a developer’s notes on shipping high-resolution images: srcset, lazy loading, and the mistakes that turn a wallpaper gallery into a slow page.
A custom VS Code theme takes hours rather than weeks once you move past CSS variables and into TextMate tokens. Ahmad Wael on scaffolding the first pass, debugging scopes in the Extension Host, and picking contrast that does not fry your eyes by lunchtime.
Basic GNNs treat every SKU connection the same. Heterogeneous Graph Transformers weight each edge type separately, which cut WAPE from 0.86 to 0.58 on an FMCG dataset. The post also shows the typed-edge table I use instead of flat post meta.
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.
Shipping a theme to the VS Code Marketplace and Open VSX took longer than writing it. Notes on Azure DevOps PAT tokens, uploading a .vsix by hand when the CLI login stalls, Eclipse Foundation namespaces, and why relative README image paths break in both registries.
RoPE rotates query and key vectors instead of adding an index, so the distance between two tokens stays the same wherever the sequence sits. Covers the rotation intuition, why dimension pairs rotate at different speeds, and a PyTorch implementation for a custom transformer.
I ran the WordPress.com AI engine at 21 site types, from portfolios to membership hubs, to see whether the blocks it generates survive a mobile viewport and a Core Web Vitals pass. Here is what ships as is, and the parts I still fix in functions.php.