Maximize Claude Code effectiveness by moving beyond simple chat interfaces. Learn how to use slash commands, project memory, and Plan Mode to automate your WordPress and WooCommerce development. Senior developer Ahmad Wael shares insights on priming your AI agent for better consistency and fewer hallucinations in the terminal.
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.
Shapley Values are the gold standard for model explainability, but feature correlation often breaks them. Learn why the Symmetry Axiom causes signal dilution and how to use grouping and iterative selection to build robust AI insights that actually work in production environments. Stop shipping misleading model explanations today.
Stop treating AI as a single-threaded tool. Running coding agents in parallel is the next evolution in developer productivity. In this guide, I share my personal framework for using Claude Code, Warp, and ‘Plan Mode’ to manage multiple agents simultaneously, allowing you to ship features faster while maintaining high-quality standards.
Ahmad Wael breaks down the technical cause of Transformer high-norm artifacts in ViTs and LLMs. Learn how the Softmax ‘trash can’ effect creates attention sinks that kill performance in dense vision tasks, and discover the latest 2025 research-driven fixes including registers, surgery neurons, and sigmoidal gating to stabilize your models.
Stop building reporting tools that gather dust. Learn why Human-Centered Data Analytics is the key to turning raw metrics into actionable business decisions. As a senior developer, I explain how to move past “trashboards” and start building data systems with the end-user in mind to drive real impact and trust.
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.
Designing your career in 2026 requires more than a vertical climb. Ahmad Wael explores strategic product designer career paths, the importance of annual retrospectives, and how to avoid the “management trap” by refactoring your role for horizontal growth and AI-driven impact. Learn how to map your skills for the new year.
Production ML failures often stem from hidden data leaks and time travel traps rather than poor modeling. Senior developer Ahmad Wael explains why perfect training metrics lie and how to debug data leakage, feature defaults, and silent population shifts to build robust, production-ready machine learning systems that survive the real world.
Federated Learning is shifting AI training from centralized servers to local devices. By moving the model to the data, developers can solve privacy silos and reduce latency. Senior developer Ahmad Wael explains the mechanics of Federated Averaging (FedAvg) and why keeping raw data local is the future of edge computing.