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Tag: Backend

AI, Core Updates, Development

The WordPress AI guidelines put humans back on the hook

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.

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Bug Fixing, Core Updates, Development, Gutenberg

What WordPress 6.9.1 RC1 fixes, and how to test it

WordPress 6.9.1 RC1 closes 23 core bugs and 25 Block Editor issues, including the mail function error, the double-escaped class names from the HTML API, and the broken Add Plugins screen. Plus how to test the RC on staging with WP-CLI.

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AI, Development

Using AI coding tools without shipping slop

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.

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Development

Covariate balance is not what makes an experiment valid

Unbalanced cohorts do not invalidate an A/B test. What matters is that assignment was random and independent of anything that existed before the test. Includes why imbalance happens and a hash-based way to assign groups in PHP without a database lookup.

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AI, Development

Data science as engineering, not a science project

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.

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AI, Development

Filter Pandas DataFrames: cleaner ways than boolean masks

Nested boolean masks are hard to read and harder to debug. Cleaner ways to filter Pandas DataFrames with .query(), .isin(), .between() and the .str accessor.

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AI, AI in WordPress, Development

Vector search optimization: flatten your JSON before embedding

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.

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AI, AI in WordPress, Development

ML in production: what shipping a model actually takes

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.

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AI, AI in WordPress, Development

How convolutional neural networks learn musical similarity

Metadata filters only take music discovery so far. How CNNs read audio as Mel-spectrograms, how contrastive learning with InfoNCE loss shapes the embeddings, and why the inference belongs outside WordPress.

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AI, Development

Modeling urban walking risk with H3 hexagons and XGBoost

Fastest-route logic says nothing about what a walk is actually like. How the StreetSense project models urban walking risk with Uber’s H3 indexing, sine and cosine time encoding, and XGBoost under a Tweedie objective.

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