The Penpot MCP server experiment marks a major shift in AI-powered design workflows. By leveraging the Model Context Protocol, Penpot provides a secure, structured bridge for LLMs like Claude to interact with real design data. This senior dev’s take explores why design-expressed-as-code is the only way to eliminate AI hallucinations and technical debt.
Stop letting your AI coding agents hallucinate. Learn how to optimize your AI coding agent context using AGENTS.md, documentation links, and thread management. Ahmad Wael shares his senior-level insights on preventing broken WordPress sites and cutting technical debt while using modern AI tools like Cursor and Claude Code.
AI in UX isn’t about magic; it’s about treating AI like an enthusiastic intern. Ahmad Wael shares his practical workflow for using AI in user research, design audits, and copy creation to achieve a 30% speed increase. Learn how to stop wasting hours on grunt work and focus on strategic thinking instead.
Understanding RAG chunk size is critical for AI retrieval stability. This article breaks down how different chunking strategies—from small 80-character fragments to large 500-character blocks—impact the accuracy of your vector search. Learn how to refactor your text-splitting logic in PHP to avoid context loss and reduce AI hallucinations in your WordPress integrations.
Reinforcement Learning (RL) is transforming how LLMs reason, moving beyond “vibes” to verifiable logic. Senior developer Ahmad Wael explores the mechanics of RL training loops, formal verification, and synthetic dataset generation. Discover why a “Do or do not” reward system is the key to training models that actually think.
Stop wasting budget on heavy LLMs for simple tasks. Ahmad Wael explains why GliNER2 is the pragmatic choice for structured data extraction. Learn how to handle entity recognition and relationship mapping on a CPU without the high costs or latency of major AI APIs. Get the right tool for the job.
Stop making excuses for poor model performance. Learn how to handle covariance shift using Inverse Probability Weighting (IPW). Senior dev Ahmad Wael explains how to re-weight your validation data to match real-world production distributions, ensuring your machine learning models stay accurate even when user demographics shift unexpectedly. No more apples-to-oranges comparisons.
The future of data science is shifting away from generalists and toward specialized data roles in fields like archaeology, renewable energy, and sports analytics. Ahmad Wael explains why domain context is more important than generic Python libraries and how to build robust, industry-specific data solutions that actually work for your business.
Stop wasting time over-tuning XGBoost on small datasets. Senior developer Ahmad Wael explains why using a Tabular Foundation Model like TabPFN is the pragmatic choice for messy, small-scale data. Learn how in-context learning provides better accuracy than traditional machine learning for typical WordPress and WooCommerce data challenges without the overfitting nightmare.
Stop the nightmare of inconsistent AI results. Learn how a Senior WordPress developer uses Custom AI Assistants to codify expertise, save hours on WooCommerce support, and ensure team-wide consistency. Discover the MATCH framework for turning messy prompts into reliable, shared technical partners that actually understand your coding standards and constraints.