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Review: Drupal CMS (Starshot) Recipe System for AI-Driven Site Building
How-ToMachine Learning

Review: Drupal CMS (Starshot) Recipe System for AI-Driven Site Building

via Dev.tovictorstackAI1mo ago

The Hook Drupal CMS recipes are the most practical building block for AI-driven site assembly: they translate a plan into installable modules and configuration with one apply step. Why I Built It I wanted a compact, repeatable recipe starter that mirrors how Drupal CMS expects recipes to be packaged and applied, plus a tiny helper that lets AI tools emit a recipe YAML from structured inputs. The Solution I built a small recipe package and a PHP blueprint helper. The recipe installs a baseline site-building stack and creates an AI Builder role, while the helper turns a JSON brief into a valid recipe.yml . The Code View Code What I Learned Recipes are Composer packages of type drupal-recipe meant to be unpacked and applied, not kept as runtime dependencies. Applying a recipe happens from the webroot via drush recipe (Drush 13+) or php core/scripts/drupal recipe , and the core recipe-unpack workflow can place recipes in a /recipes directory. Recipe configuration actions live in recipe.yml

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