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Author: Ahmad Wael

I'm a WordPress and WooCommerce developer with 15+ years of experience building custom e-commerce solutions and plugins. I specialize in PHP development, following WordPress coding standards to deliver clean, maintainable code. Currently, I'm exploring AI and e-commerce by building multi-agent systems and SaaS products that integrate technologies like Google Gemini API with WordPress platforms, approaching every project with a commitment to performance, security, and exceptional user experience.
Development, E-commerce Development

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.

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AI, AI in WordPress

WordPress content ideas from Claude, using MCP

Connecting Claude to a WordPress site over the Model Context Protocol turns your posts and comments into something it can read. Here is the setup, the gap-analysis prompt I use, and how I score the ideas that come back.

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Development

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.

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Core Updates, Development, E-commerce Development

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.

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AI, Development

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.

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AI, Development

LLM agent memory architecture that survives production

LLM agent memory architecture is what decides whether an agent holds up over a long task. This covers the four temporal scopes, the manage step almost everyone skips in the write-manage-read loop, and how summarization drift creeps in.

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AI, AI in WordPress

Proxy-Pointer RAG: why structure beats plain chunking

Standard vector RAG shreds documents into contextless fragments. Proxy-Pointer RAG keeps the heading hierarchy through skeleton trees and breadcrumbs, and on 66 queries against 10-K filings every number matched the ground truth.

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AI in WordPress, Development

6 LLM architecture lessons the tutorials leave out

Six things I ran into building a GPT-2 clone from scratch in PyTorch: the scaling flaw RsLoRA fixes, why RoPE replaced additive positional embeddings, why weight tying stopped paying off, and what KV-caching costs you in VRAM.

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AI, Development

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.

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Development, Front-end

Modern CSS features that let me delete the hacks

Browsers are shipping faster than most of us can refactor. A look at clip-path rounded polygons, element-scoped view transitions, subgrid and @scope, and which JavaScript libraries they let you drop from a WordPress project.

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