About 60 lines of Python turn a laptop webcam into a pointing device. Uses OpenCV and MediaPipe Hands for the 21 hand landmarks, PyAutoGUI to move the cursor, and a smoothing buffer to kill the jitter.
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.
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.
Make WordPress published its AI guidelines: disclose AI assistance, keep contributions GPLv2-or-later, and own the code either way. Includes the AJAX save function AI keeps getting wrong and the version that passes review.
The core team wants the legacy 1024-bit certificates out of the WordPress root bundle before 7.0 ships in April 2026. NIST disallowed those keys in 2013, and CentOS 7, the main reason they stayed, went end of life in mid-2024.
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.
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.
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.
Raw JSON in an embedding model spends your token budget on braces and quotes. Flattening product data into plain sentences gives the model the kind of text it was trained to read.
A notebook demo is not production. This is what sits between the two: an API contract, a container, infrastructure that suits the workload, and monitoring that catches drift before the predictions quietly go bad.