WordPress 7.0 is approaching, and the AI team is racing to meet the February 19 Beta 1 deadline. This week’s update covers the 0.2.0 release of AI Experiments, the progress of the Abilities API for core post management, and the release of the PHP AI Client v0.4.0. Learn what’s landing in core.
WordPress AI Client development is hitting its stride as contributors prepare for WordPress 7.0. The latest updates reveal a shift toward the Model Context Protocol (MCP), the removal of problematic streaming support for better hosting compatibility, and a new ‘kill switch’ filter for developers. Learn why these pragmatic architectural choices matter for your production sites.
Standard machine learning is great at finding patterns, but it often fails when you need to make actual business decisions. In this post, I break down why Causal ML is the necessary refactor for any data-driven system, covering Potential Outcomes, DAGs, and de-biasing techniques to help you stop confusing correlation with causation.
Understanding Cursor Codebase Indexing is the key to mastering AI-assisted development. Learn how the RAG pipeline uses AST parsing, Merkle trees for efficient syncing, and vector databases like Turbopuffer to give coding agents deep codebase context while maintaining privacy through client-side path obfuscation. Skip the ‘magic’ and learn the real architecture.
Stop over-engineering your AI projects. For most internal tools and MVPs, a dedicated RAG Vector Database like Pinecone is overkill. Learn how to build production-ready retrieval systems using only NumPy and SciKit-Learn for millisecond search speeds without the extra cost or complexity of specialized databases.
Scaling Python with Ray on cloud clusters is the definitive way to break past local hardware limits. Ahmad Wael explains how to configure AWS EC2 clusters using YAML, manage costs with Spot instances, and refactor code for distributed environments. Learn how a 6-node cluster can deliver massive performance gains for CPU-intensive tasks.
WP-Bench is the first official AI benchmark for WordPress development. It moves beyond general coding tasks to measure how LLMs handle WordPress-specific APIs, security, and coding standards. Using a real WordPress runtime as a grader, WP-Bench provides a transparent, execution-based evaluation of model performance. Learn how to run and contribute to it.
Breaking into a Data Science Career in 2026 requires more than just knowing Python. Senior developer Ahmad Wael critiques the common “scattergun” application strategy, highlighting why fundamental math, resume optimization with metrics, and leveraging referrals are the only ways to bypass the 400+ rejection cycle that frustrates most new applicants in today’s market.
SAM3 is impressive, but for production environments, specialist models like YOLOv11 still hold a 30x speed advantage. Ahmad Wael explains why foundation models are better suited as development assistants rather than primary production workers, focusing on the trade-offs in hardware cost, latency, and domain-specific accuracy.
Comparing Azure ML vs. AWS SageMaker for enterprise model training. Senior dev Ahmad Wael breaks down the infrastructure differences between Azure’s Workspace-centric RBAC and AWS’s job-level IAM roles. Learn how to choose the right platform for scalable ML pipelines without the typical marketing fluff.