AI-powered coding tools like Claude Code, Cursor, and Copilot are transforming how developers work, but many Drupal developers find that the hype doesn't match their experience. These tools often feel better suited for suggestions and troubleshooting than for writing Drupal code directly. There's a reason for this: LLMs are trained on the contents of the internet, and popular frameworks like React have vastly more example code in that training data. The result is an "AI gap" where some teams are dramatically accelerating their output while others struggle to see the same benefits.
The good news is that Drupal developers can close this gap without abandoning what makes Drupal great. Drupal remains unmatched for content authoring and management, and its rich ecosystem of API modules makes it a natural fit for powering decoupled frontends. By combining Drupal's backend strengths with a React frontend, you position your team to take full advantage of what AI tools do best: writing components, generating tests, and iterating rapidly.
In this session, I'll introduce a framework that pairs Drupal Recipes with React components to create modular, full-stack building blocks. You'll see a live demo of deploying a component that installs a Drupal Recipe and generates the corresponding React component using GraphQL and Next.js, with AI handling frontend tasks in real time. Attendees will leave with a practical decoupled strategy and access to the framework to explore with their own teams.
