AI tools can boost developer productivity, but only if used with intention. In this session, we’ll explore how to responsibly adopt tools like GitHub Copilot, Claude and ChatGPT in Drupal development—without outsourcing our critical thinking. Drawing from real-world examples, we’ll cover how to use AI for writing custom code, troubleshooting, and reviewing pull requests while avoiding over-reliance and knowledge erosion. You’ll learn how to integrate AI into your daily workflow to accelerate output, improve quality, and sharpen your skills—not dull them. We’ll also talk about when not to trust AI, how to evaluate generated code, and what boundaries help teams retain shared knowledge. Whether you're curious about getting started or looking to level up your AI-assisted dev practices, this session will offer a thoughtful, practical, and slightly humorous guide to balancing human judgment and machine assistance in the Drupal ecosystem.
At the end of this session, attendees will be able to:
- Identify appropriate use cases for AI assistance in Drupal development, including code generation, debugging, and reviewing pull requests.
- Apply a set of practical guidelines for integrating AI into their workflow without diminishing code quality or developer comprehension.
- Evaluate and improve AI-generated code through critical thinking, testing, and contextual awareness.