Code refactoring in Cursor is a game-changer for senior developers managing technical debt. Learn a pragmatic 4-step framework—from planning with agentic conversations to executing with Claude 3.5 Sonnet—to transform messy legacy WordPress code into clean, class-based architectures without breaking your production environment. Stop shipping spaghetti and start orchestrating your code.
WordPress Core AI has hit its six-month milestone, moving foundational building blocks like the Abilities API and WP Client AI SDK into a stable state. With several features slated for WordPress 6.9 and a clear roadmap for 7.0, developers must now align with these new core standards for AI integration and agentic functionality.
Senior WordPress developer Ahmad Wael critiques the bridge between academic research and production code. Using insights from Marco Hening Tallarico, we explore the “distillation” of Applied Statistics and Machine Learning, spotting silent data leaks in production aggregates, and why hybrid AI models are the future of sustainable WordPress scaling.
Stop relying on basic time-series forecasting for your WooCommerce inventory. Most stores ignore the network effect between SKUs, leading to chronic stock-outs. Learn how Graph Neural Networks (GNNs) and GraphSAGE reveal hidden demand patterns by modeling your store as a connected operational system rather than isolated data rows.
WordPress has finally introduced WP-Bench, the official AI benchmark for measuring how well models like GPT-4o handle WordPress-specific APIs and coding standards. Using a Docker-based runtime for live code execution, WP-Bench moves beyond theoretical questions to measure practical, working code generation for Core APIs, security, and modern block development.
Stop hardcoding API keys and fragile logic. Learn how AWS Bedrock provides a managed gateway for foundation models like Claude and Llama. Senior WordPress developer Ahmad Wael breaks down Boto3 implementations, the necessity of inference profiles, and how to offload AI compute from your web server for better performance.
The race for longer context windows in LLMs has a hidden cost: memory. Discover how Google’s Infini-attention architecture uses compressive memory and the Delta Rule to achieve 114x memory reduction, allowing models to process million-token sequences without the massive hardware overhead of standard KV caches.
Stop treating AI prompts like static code. Ahmad Wael explores Context Engineering and the Agentic Context Engineering (ACE) framework—a Stanford-led research breakthrough that uses Generator, Reflector, and Curator agents to create self-improving LLM workflows. Learn how to bridge the gap between AI theory and WordPress production.
Ahmad Wael explores why GraphRAG for Developers is the key to building cost-efficient, high-recall retrieval systems. Moving beyond vanilla RAG, this post covers the importance of data contracts, schema validation in PHP, and production lessons from the December TDS newsletter to ensure your WordPress AI integrations remain stable and scalable.
Stop overengineering your AI. Many developers throw complex RAG pipeline features like query optimization and neighbor expansion at every problem, but the data shows it often isn’t worth the 40% cost increase. Learn when these add-ons actually improve faithfulness and when they just add latency to your WordPress integrations.