🇬🇧 From Guardrails to Governance: AI-Assisted Drupal Delivery
Talk on Drupal, Ai, Software-engineering
Build a shared engineering workflow for AI-assisted Drupal development using versioned skills, specialized agents, rules, and automated checks.
Captivating Introduction:
AI assistance becomes useful to a Drupal team when knowledge and review expectations are shared. This session explores how Drupal AI organizes domain skills, task-specific agents, engineering rules, and workflow hooks into a maintainable development system.
Prerequisite:
Familiarity with Drupal development and Git-based review workflows. Experience with an AI coding assistant is helpful but not required.
Outline:
- Identify fragmented knowledge and inconsistent AI-assisted delivery.
- Separate responsibilities: skills, agents, rules, and hooks.
- Walk through a Drupal service change and its review workflow.
- Apply coding standards, access and cacheability checks, and runtime validation.
- Version team knowledge and decide what requires human review.
Learning Objectives:
- Structure reusable Drupal engineering knowledge in version-controlled files.
- Assign development and review tasks with explicit expectations.
- Connect AI-assisted changes to existing quality checks.
- Recognize the limits of automation and retain human approval for architectural decisions.
Audience:
Drupal developers, technical leads, reviewers, and engineering teams adopting AI-assisted development.
Related Resources:
Presentation:
Slides are in preparation. Follow presentation progress on GitHub.
