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Tag: Backend

AI, Development

Calling Rust from Python when a loop will not vectorize

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.

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AI, AI in WordPress, Development

Where agentic AI token savings actually come from

Prompt caching only pays off when the prefix stays byte-identical. I go through the mistakes that break it, a semantic cache layer for WordPress, loading tool definitions on demand, and what to keep or drop between turns.

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Design, Development

Serving high-resolution desktop wallpapers without tanking LCP

Notes on serving high-resolution desktop wallpapers from WordPress without wrecking load times: what sub-size generation costs you, why lazy loading hurts a hero image, and where a CDN belongs.

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Bug Fixing, Development

Correlation and causation when you debug WordPress data

Two graphs moving together is not proof one caused the other. A PHP helper for Pearson r, the nonlinear cases a correlation check misses, and the hidden variables that make a new theme look guilty.

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AI, Bug Fixing, Development

Catching PyTorch NaNs at the exact layer with forward hooks

set_detect_anomaly points at the wrong layer and costs you 10x on CPU. A forward hook adds roughly 3ms per pass, names the layer that produced the NaN, and pairs with a gradient norm check that fires a step earlier.

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Development

Declarative data pipelines: we swapped PySpark for YAML

Analysts waiting three weeks on an engineer for one metric is a tooling problem. Here is the dlt, dbt and Trino setup we used to move pipeline building into YAML and SQL, what it cost, and where it still falls short.

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AI, Development, E-commerce Development

Pandas performance: why row loops wreck your pipelines

Row-wise iteration is what makes most Pandas code slow. This walks through profiling with %timeit and memory_usage, replacing iterrows with vectorized operations, cutting memory with category types, and when to move to Polars or DuckDB instead.

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Core Updates, Development

WordPress documentation overhaul: 200 issues closed

The WordPress documentation team has triaged close to 800 GitHub issues and closed more than 200. Most of the remaining work sits with the DevHub parser and the theme and plugin handbooks, which is also where outside contributors are most useful.

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AI, Development

Robust variable selection for scoring models that hold up

Scoring models that look great on one training set often break in production. These are the four filter rules I run across stratified folds so variable selection survives data the model has never seen.

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Development

WordPress Student Clubs are fixing the contributor pipeline

One-off campus workshops rarely turn students into contributors. WordPress Student Clubs give them a year-round, student-led space, and the early numbers from events in India suggest it is working.

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