WordPress Development Insights from the Trenches

I’m Ahmad Wael, a WordPress developer with 15+ years of experience building complex WooCommerce stores, custom plugins, and AI-powered solutions for clients worldwide. This blog shares real-world lessons from actual projects—not theoretical tutorials.

You’ll find in-depth guides on WordPress AI integration, WooCommerce optimization, plugin architecture, PHP best practices, and modern development workflows. Every article comes from solving actual client problems, with code examples you can use immediately.

Whether you’re integrating AI agents into WordPress, managing technical debt in legacy codebases, or building scalable WooCommerce solutions, these insights will save you hours of debugging and research.

Fourier Features: Solving Spectral Bias in Neural Networks

Teaching a neural network to render the Mandelbrot set reveals a fundamental flaw in standard MLPs: spectral bias. By implementing Multi-Scale Gaussian Fourier Features, we can transform blurry approximations into sharp fractal boundaries. Learn why input representation matters more than model depth when dealing with high-frequency data and complex coordinate-based systems.

Retrieval-Augmented Forecasting: Improving Time-Series Model Accuracy

Retrieval-Augmented Forecasting (RAF) is revolutionizing time-series analysis by adding an explicit memory step to traditional models. Instead of relying on static training weights, RAF allows models to perform similarity searches on historical data, significantly improving accuracy during rare events and market shifts. Learn how to implement vector-based memory for more robust forecasting.