Drupal 11.4 is the next minor release in the 11.x branch, with a stable launch planned for the week starting June 22, 2026. It doesn't break backward compatibility for public APIs, but it brings plenty of concrete improvements: PHP attribute routing, a new bootstrap based on Symfony Runtime, Brotli compression for assets, SEO-oriented robots.txt changes, and a whole list of deprecations worth handling in custom modules. Below I walk through what actually changes compared to Drupal 11.3.

The DrupalCon Chicago 2026 Driesnote kicked off with a keynote that was equal parts celebration and wake-up call. With 1,310 attendees in the room and Drupal turning 25, Dries Buytaert delivered one of his most candid Driesnotes yet. He acknowledged a tough market, AI disruption hitting all sides of the Drupal ecosystem at once, and then laid out a concrete plan for what comes next.

This wasn’t the typical “look what we shipped” keynote. Dries shared personal stories, showed real working demos, and ended with a direct challenge to every person in the room. I want to walk you through the 10 things that stuck with me the most.

What is Drupal used for beyond standard websites? It is an enterprise content management framework designed for complex, authenticated, content-heavy platforms — the kind where thousands of users log in daily, access role-specific content, and navigate structured information across multiple languages. Government agencies, Fortune 500 companies, and international organizations choose Drupal precisely because its architecture solves problems that simpler CMSs cannot handle. If you are evaluating CMSs, our breakdown of 13 reasons why Drupal is the best CMS for developers and IT teams provides a complementary technical perspective.

Integrating AI with Drupal content creation works well for text fields, but taxonomy mapping remains a significant challenge. AI extracts concepts using natural language, while Drupal taxonomies require exact predefined terms and the two rarely match. This article explores why common approaches like string matching and keyword mapping fail, and presents context injection as a production-proven solution that leverages AI’s semantic understanding to select correct taxonomy terms directly from the prompt.

PDF data extraction quality directly determines AI accuracy. When building BetterRegulation’s document processing system, we found that naive extraction wastes 40-60% of context windows on PDF artifacts. After evaluating ChatGPT API, traditional Python libraries, and Unstructured.io, we achieved 30% token reduction and significantly improved document categorization. Here’s what we learned.

Switching from WordPress to Drupal raises many concerns. Will the migration be too complicated? Will I find equivalents for the tools I use every day? In this article, I compare five of the most important WordPress tools with their Drupal counterparts: Custom Post Types, ACF, WP Query, WP Forms, and Page Builders like Elementor. For each one, I show what working in Drupal looks like with real examples and a live demo in Drupal CMS. After reading this post, you’ll see that Drupal isn’t hard at all, and concepts familiar from WordPress translate to Drupal almost one-to-one. Feel free to read the article or watch the episode from the Nowoczesny Drupal series.

Handling multiple domains within a single CMS is a challenge many organizations face. Choosing the right architecture at the start of a project can save significant time and money. Drupal offers three proven approaches: multisite, Domain Access, and headless CMS. In this article, I'll compare their strengths and weaknesses, show real-world implementation examples, and help you decide which approach works best for different business scenarios. I invite you to read the post or watch an episode from the series Nowoczesny Drupal.

Extracting structured metadata from legal documents is one of the most challenging AI tasks in regulated industries. Through careful prompt engineering with GPT-4o-mini and OpenAI's Structured Outputs, teams can achieve 95%+ accuracy in categorizing complex regulatory documents across multiple taxonomies. This technical guide reveals how BetterRegulation built production-grade prompt templates that reliably extract document types, organizations, subject areas, and legal obligations from UK/Ireland legal texts—reducing manual correction time from 15 minutes to 3 minutes per document.

AI Automators transforms complex AI workflows from code to configuration. This case study reveals how BetterRegulation built production-grade AI workflows processing 200+ documents monthly with 95%+ accuracy – using multi-step chains, background queues, and admin-managed prompts. No custom integration code required.

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