AI now generates faster than any of us can type, which makes judging the output the actual job. Where LLM code tends to break in WordPress: hooks that no longer exist, uncached get_option calls in loops, and raw SQL that HPOS will punish.
Most machine learning projects fail on framing, not on model quality. Five checks to run before you open a notebook: name the decision, price the two kinds of error, audit the target variable, simulate the deployment, and write down how the project fails while the metrics look fine.
A nightly job spent 129 seconds labelling 500,000 rows of sales data because it looped over them. The same logic with numpy.where took 0.08 seconds. Here is how vectorization and Boolean masks replace row-by-row Pandas code, and when apply() is still worth reaching for.
Nested loops don’t scale for scheduling and resource allocation. This post shows how graph coloring, using Python’s GCol library and NetworkX, solves these NP-hard problems without turning your backend logic into a mess.
WordPress 7.0’s AI updates are heading into Beta 2. This post covers the pivot away from the Abilities API, the new Connector Screen, and the dependency issues in the AI Experiments plugin.
A 420-core Databricks cluster spent 10 hours on 18 partitions because the data was skewed. Here is how salting and liquid clustering fixed the distribution, and what each one is actually good for.
Context engineering means filling an AI model’s context window with your own domain knowledge, using structured graphs, deterministic tools, and persistent memory instead of simple RAG.
Senior data scientist skills are often mistaken for mastery of algorithms. The real gap between junior and senior practitioners is judgment: knowing when to pause, how to frame the problem, and what actually moves the business.
February was short but it made a few things obvious: solo work stalls ML projects, code is not documentation, and an MLOps stack that ignores the deployment environment never ships. Notes from a month of ML and backend work.
After 14 years of stitching together WordPress hosting stacks, here is why I moved to WordPress.com: managed infrastructure, 99.999% uptime, real developer tools, and backups that actually restore.