WordPress has launched the Plugin Directory MCP Server, allowing developers to connect AI tools like Cursor and Claude directly to WP.org. This new bridge enables real-time readme validation, submission status checks, and guideline compliance directly from your IDE, significantly streamlining the plugin development and submission workflow.
Ahmad Wael explores the reality of AI Coding Assistants like Claude Code and Cursor. While “vibe engineering” promises fast results, senior-level judgment is still required to prevent security risks and architectural failures in WordPress production environments. Learn how to bridge the gap between AI boilerplate and senior-grade code quality.
Ahmad Wael explores Telex, Automattic’s experimental AI tool designed to generate a WordPress theme using natural language prompts. Learn how to scaffold modern block themes, enhance prompts for better design briefs, and test your generated ZIP files in WordPress Playground without risking your live production site.
Shadow AI isn’t a bug; it’s a feature of modern work. Learn why fighting “desire paths” in your organization fails and how to build a Shadow AI Governance strategy that prioritizes visibility over suppression. Ahmad Wael explains why locking down tools is killing your productivity and how to build secure, governed alternatives.
AI coding assistants are changing the way we build WordPress sites, but at what cost? Ahmad Wael critiques the shift toward ‘vibe coding’ and shows why relying on tools like Copilot for complex WooCommerce logic often leads to performance bottlenecks and technical debt. Learn how to refactor AI code for production stability.
Writing code is no longer the bottleneck—reviewing it is. Learn how senior developers optimize reviewing Claude Code output using automated PR skills and HTML report hacks. Stop shipping “vibe code” and start using technical precision to catch logic errors, race conditions, and poor error handling before they hit production.
Building a production-ready Claude Code Skill requires moving beyond simple prompts to a structured architecture. Learn how to use progressive disclosure, YAML frontmatter triggers, and implementation patterns to build reliable AI workflows that save context tokens and prevent hallucinations. Ahmad Wael shares his senior-level insights on making AI automation actually work.
Building an AI application involves more than just writing prompts. In this article, Ahmad Wael breaks down the essential infrastructure for AI, including environment variables, rate limiting, and text chunking logic. Learn why security and error handling are more important than the “AI magic” itself for production-ready tools.
Training Vision Language Models isn’t about starting from zero; it’s about orchestrating pre-trained backbones, Q-Formers, and LoRA adapters. Ahmad Wael breaks down the technical architecture of multimodal AI, explaining why freezing weights and using cross-attention is the only efficient way to give text models vision capabilities without massive compute costs.
Multi-agent AI systems often fail due to a “bag of agents” approach that amplifies errors by 17x. This guide explores the math of compound reliability and outlines three proven architecture patterns—Plan-and-Execute, Supervisor-Worker, and Swarm—to build reliable agentic systems while avoiding common production failures like cost explosion and security gaps.