Scaling Python with Ray: Deploying to Cloud Clusters

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.

Advanced LLM Optimization: Beyond Basic Prompt Engineering

LLM Optimization is shifting from simple prompt engineering to complex context engineering and agentic workflows. As AI power becomes a given, the real bottleneck is cost and time-effective output extraction. Learn why WordPress developers need to focus on structured context, transients, and verifiable reasoning to build scalable AI integrations in 2026.

What to Expect from WordPress 7.0 AI Features

WordPress 7.0 Beta 1 is just four weeks away, and the AI roadmap is hitting high gear. This week’s meeting focused on merging the WP AI Client into core using the Requests library pattern, the evolution of the Abilities API, and the introduction of WP Bench for systematic model evaluation.