Eduardo Telaya

Most Drupal teams are using AI the wrong way: pasting code into a chat window, hoping for the best, and getting output that looks right but breaks in production. That's not AI-assisted development — that's autocomplete with extra steps.

At heydru!, we took a different approach. We sponsor drupal-ai — an open-source system built to make AI a reliable, deterministic part of enterprise Drupal engineering. Not a shortcut. Infrastructure.

Most Drupal architecture problems aren't Drupal problems. They're decisions made early in a project — content modeling choices, caching strategies, integration patterns — that compound into performance and maintainability issues as the platform grows. Getting the architecture right means making those decisions deliberately, before they're made by accident.

Here's how we think about scalable Drupal backend design.

Drupal 7 reached end of life in January 2025. Most organizations still running it aren't behind because they lack resources — they're behind because every migration approach they've considered feels too risky. The platform is doing real work. It can't go offline for a week while a team rebuilds it.

Here's how we approach D7 → D11 migrations at heydru: treating them as parallel systems, not upgrades.