Astro MDX integration: components inside your Markdown
What the Astro MDX integration is actually good for, the two patterns I use in production, and the two places it bites: formatters mangling JSX, and the RSS package refusing to render MDX.
Tag: Backend
RAG conflict resolution: good retrieval, wrong answers
Retrieval can work perfectly and still hand the model two documents that contradict each other. A conflict detection layer, the two heuristics that catch most enterprise cases, and cluster-aware recency for resolving them.
LLM generated code: the WordPress debt it leaves behind
Asking a chatbot for a WooCommerce snippet is a lever pull, and the losing pulls are the hard ones to spot. Where LLM generated code breaks WordPress sites, what it does to coding standards, and why per-token pricing makes it worse.
What a p-value actually means for your A/B tests
A p-value is closer to a weirdness score than a probability that you are right. Here is how to read one, why the 0.05 threshold is arbitrary, and how to sanity-check sample size before you act on an A/B test.
Distributed computing lessons from a €200M supercomputer
MareNostrum V is 8,000 nodes sitting in a Barcelona chapel, and getting code to run on it means SLURM time slots, airgapped storage and Amdahl’s Law. Here is what that setup teaches about scaling anything smaller.
WooCommerce 10.7 cuts HPOS order queries roughly in half
WooCommerce 10.7 drops HPOS order REST queries from 271 to 132, ships a beta Order Fulfillments API with typed methods, caches the Store API Last-Modified timestamp, and stops sanitization from eating % signs in gateway passwords.
Vector databases are overkill for AI agent memory
Vector databases have become the default answer for AI agent memory, and for a project-scoped agent they are usually the wrong one. Plain Markdown files plus a local SQLite index give you grep, git diff and no server to babysit.
Deep Evidential Regression: uncertainty without ensembles
Deep Evidential Regression has the network predict Normal Inverse-Gamma parameters, so one forward pass separates noise in the data from what the model never learned. The awkward part is tuning the regularization term.
How to pick a quantum SDK: Qiskit, PennyLane or Cirq
Qiskit, PennyLane, Cirq and Amazon Braket are built for different jobs. What each one is good at, where each gets in the way, and how to choose without stalling the project for a week.
Linear regression is still doing most of the work
Linear regression handles more WordPress and WooCommerce work than the plugin marketing suggests. The math, RMSE against MAE, PHP inference without a Python bridge, and where regularization saves you.