Anthropic’s Claude Code is a productivity beast, but its monthly subscription cost can be a major bottleneck for independent developers. Learn how to use Ollama’s new Anthropic API compatibility to run Claude Code for free using local, open-source models like Qwen3-Coder. I’ll walk you through the setup and the environment variables you need.
The WordPress AI Client is officially proposed for the WordPress 7.0 core merge. In this update, Ahmad Wael breaks down why the shift toward provider-agnostic infrastructure, separate plugin repositories for OpenAI and Anthropic, and constant-based “kill switches” are the right pragmatic moves for the future of the platform.
Ahmad Wael breaks down the WordPress 7.0 AI Integration roadmap, highlighting the WP AI Client merge proposal and the role of the Abilities API. Discover how core is standardizing LLM workflows, the tradeoffs of the MCP adapter, and why the mid-February Beta 1 milestone is critical for the future of WordPress.
WordPress.com has launched an official Claude Connector, leveraging the Model Context Protocol (MCP) and OAuth 2.1. This allows for secure, read-only access to site data like traffic, comments, and content. For developers, this means no more messy API hacks—just site-specific AI intelligence that is officially supported and easy to authorize.
Tired of broken API endpoints and mismatched React payloads? Senior developer Ahmad Wael explains why syncing frontend and backend code requires an architectural shift. Learn how to leverage monorepos, Roots Bedrock, and AI coding agents to eliminate the “fragmentation tax” and build more stable WordPress applications faster.
Forget pre-built toolboxes. Senior dev Ahmad Wael explains why the best Agentic Architecture uses a Plan-Code-Execute pattern to create tools on the fly. Learn how to build a flexible, scalable AI pipeline that stops relying on static APIs and starts generating its own solutions for complex enterprise data.
Stop treating your AI users like strangers. Every LLM call is usually a fresh start, but a custom LLM Memory Layer changes that. In this guide, Ahmad Wael explains how to use DSPy and QDrant to build a persistent, self-maintaining memory system that handles extraction, vectorization, and fact updates autonomously.
Recursive Language Models (RLMs) offer a superior way to handle massive context windows without the performance degradation known as ‘context rot.’ By using a Python REPL environment, RLMs allow LLMs to programmatically partition and query data, leading to higher accuracy and better reasoning for complex WordPress and backend development tasks.
WordPress developer Ahmad Wael breaks down the January 2026 data platform and LLM trends. Learn how LLM optimization techniques like fused kernels and context engineering are replacing brute-force scaling. Discover why Databricks and Snowflake are hitting ceilings and how to use Claude Code effectively in your development workflow.
Learn how to avoid the “Bag of Agents” trap and scale Multi-Agent Systems effectively. Based on DeepMind’s research, discover why coordination structure matters more than agent quantity and how to suppress 17x error amplification using functional planes and a centralized orchestrator for robust, performant agentic AI.