The Make WordPress team has released the official WordPress AI Guidelines to combat “AI slop” and ensure core contributions remain high-quality. These guidelines focus on five core principles: human responsibility, transparency in disclosure, GPLv2 licensing compatibility, and prioritizing maintainable code over automated volume. Learn why human oversight is still non-negotiable for WordPress developers.
Ahmad Wael shares a senior developer’s perspective on using AI coding tools for developers. Learn how to map legacy codebases, modernize build stacks with Vite, and write robust tests without falling into the “slop machine” trap. Discover practical prompts and best practices for staying a responsible developer in an AI-driven world.
Data science is facing an identity crisis. By shifting toward an engineering-first mindset, we move from theoretical “science projects” to robust, maintainable production systems. Learn why treating Data Science as Engineering is essential for modern software development, featuring practical WordPress implementation strategies and senior-level insights.
Stop writing messy, unreadable boolean masks in Python. Senior developer Ahmad Wael shares 10 elegant ways to filter Pandas DataFrames using .query(), .isin(), and advanced string matching. Learn how to refactor your data logic for better performance and maintainability in your custom data pipelines and reporting engines today.
Vector search optimization often fails when developers embed raw JSON into their RAG systems. This senior dev breakdown explains why tokenization noise and mean pooling liabilities kill performance, and how flattening structured data into natural language prose can boost your retrieval metrics by up to 20% in AI-powered WordPress sites.
ML in production is more than just a model in a notebook; it is a complex ecosystem requiring accountability and engineering rigor. Ahmad Wael breaks down the 5 essential steps—from API contracts to monitoring silent decay—to ensure your machine learning projects actually deliver business impact without breaking your WordPress site.
Stop relying on brittle metadata for music discovery. Senior developer Ahmad Wael explains how Convolutional Neural Networks use Audio Embeddings and Mel-spectrograms to capture the actual texture of sound. Learn how contrastive learning and InfoNCE loss create high-performance recommendation engines that outperform traditional collaborative filtering in modern audio applications.
Modeling Urban Walking Risk requires more than just Dijkstra’s algorithm. In this deep dive, I explore how the StreetSense project uses Uber’s H3 indexing, cyclical time encoding, and XGBoost with Tweedie regression to predict neighborhood-level pedestrian safety. Stop relying on raw coordinates and start building context-aware navigation systems.
Scaling AI workloads across multiple GPUs often hits a brick wall due to distributed training data transfer bottlenecks. Learn how to use NVIDIA Nsight, PowerSGD gradient compression, and PyTorch DDP optimizations to eliminate idle GPU time and maximize training throughput on both PCIe and NVLink hardware topologies.
Building a Neural Machine Translation system for low-resource languages like Dongxiang requires more than just raw data. Senior developer Ahmad Wael explains how to fine-tune Meta’s NLLB-200 model, handle language ID registration, and optimize training using the Adafactor optimizer for memory-efficient performance on a single GPU setup.