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Tag: Backend

AI, AI in WordPress, Core Updates

WordPress AI Micro-Credential: A Real Career Path for Devs?

The WordPress Foundation has announced the AI Leaders micro-credential, a pilot program designed to bridge the gap between open-source contributions and living-wage careers. In collaboration with UIC and Automattic, this initiative pays students to work on real WordPress AI projects, standardizing how we validate technical talent in the age of generative AI.

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Bug Fixing, Core Updates

WooCommerce 10.5 Release is Delayed: What Developers Need to Know

The WooCommerce 10.5 Release, originally set for February 3, 2026, has been delayed due to stability concerns regarding the removal of the AccessiblePrivateMethods trait. The team is re-evaluating the deprecation to ensure site stability. A status update is expected on February 4. Learn what this means for your store and customizations.

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Core Updates, Development

Freshly Pressed WordPress Is Back: Curation Over Algorithms

Freshly Pressed WordPress is back! This classic human-curated discovery feature return to the WordPress.com Reader, offering an alternative to soul-crushing algorithmic feeds. Learn why curation wins for quality discovery and how to ensure your self-hosted site is technically ready to be featured via a healthy Jetpack connection.

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AI, Development

How to Build Your Own Custom LLM Memory Layer from Scratch

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.

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AI in WordPress, Core Updates, Development

WordPress 7.0 Client-Side Media: The WASM Revolution

The February 4, 2026, Dev Chat highlights a major breakthrough: WordPress 7.0 Client-Side Media is moving to core. By leveraging WASM, VIPS, and the new worker-threads package, WordPress plans to offload image processing to the browser, potentially reducing server CPU load by 80%. Learn why this architectural shift is a game-changer for performance.

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AI, Development

Inside the WP AI Client: Why WordPress 7.0 Needs This Foundation

WordPress 7.0 is set to standardize generative AI through the WP AI Client merge. This provider-agnostic API offers a consistent interface for developers, integrating with the Abilities API and existing HTTP transport layers. Ahmad Wael breaks down why this infrastructure is the foundation needed to avoid SDK fragmentation and security pitfalls.

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Core Updates, Development

WordPress Core Performance: Real Talk on Scripts and AI

A senior-level look into the latest WordPress Core Performance discussions, covering the CodeMirror upgrade, script module dependency workarounds, and the dangers of AI-driven development. Learn why 1ms micro-optimizations like path memoization matter at scale and how the Core team is preparing for WordPress 7.0 performance updates.

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AI, AI in WordPress, Development

Testing the Future: New WordPress AI Experiments are Here

WordPress AI Experiments are reshaping the future of Core AI. Senior developer Ahmad Wael breaks down the latest Call for Testing, including MCP integration, Markdown feeds, and why request logging is the most critical feature for production-grade WordPress sites using LLMs. Test the future today via WordPress Playground.

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AI, AI in WordPress, Development

Solving Context Rot with Recursive Language Models

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.

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Development

Building a Reliable Data Pipeline for Crime Trends: ETL Guide

Stop relying on fragile cron jobs for your data sync. Ahmad Wael explains how to build a reliable data pipeline for crime trends using Python, Prefect, and PostgreSQL. Learn to implement structured ETL workflows, schema validation, and Docker-based visualization with Metabase to ensure your local data analysis remains stable and accurate.

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