The data science career path in 2026 asks for more than Python. Notebook work is the easy half; the rest is MLOps, domain knowledge, and keeping your own judgment while agents handle the tedious parts.
WordPress 7.0 lands May 20, 2026, and RC3 on May 8 is now being treated as the new Beta 1. The experimental Presence API gets its own wp_presence table with a 60-second TTL for tracking who is editing what.
AI has absorbed the task-level work, and juniors who sell themselves as code writers are getting ghosted. After 14 years in WordPress development, here is what I look for instead: work you actually owned, and a repo that shows a human debugged it.
Most WordPress resilience testing is refreshing the checkout page and hoping. Intent-based chaos engineering starts from a stated hypothesis about behavior instead, with fallback paths around external calls and abort signals tied to checkout completion rather than p99 latency.
Ghost is an agent-first Postgres platform. Notes from using its MCP server and database forking to let AI agents test schema changes and index strategies without touching a shared staging database.
A credit model can score well and still fall apart in production if its variables drift. Two checks before estimation: whether each variable holds a consistent risk direction, and what PSI says about distribution shifts between datasets.
CSS Values Level 5 adds random() and random-item(), which the browser resolves at render time. Why that beats Sass build-time randomization, PHP inline styles and Math.random() for scattered layouts and varying animation delays.
WordPress.com’s new short-form blogging theme stores micro-posts as ordinary WordPress posts, so replies stay comments and reblogs keep their attribution. Here is what that buys you over renting space on a social platform.
Multimodal RAG usually fails at retrieval, not at vision. I walk through the proxy-pointer approach: parse a document into a section tree, keep image pointers on each node, and retrieve whole sections instead of sliding-window chunks.
Some loops will not vectorize, and Python object overhead eats whatever is left. Here is how PyO3 and Maturin let you move a hot loop into Rust, how Rayon uses the rest of your cores, and what the throughput looks like afterwards.