AI-assisted development is changing how we build software, but generating code without a clear plan can lead to inconsistent implementations, missed requirements, and unnecessary rework. Spec-Driven Development (SDD) offers a different approach: define what needs to be built, establish clear requirements and acceptance criteria, and use those specifications to guide implementation.
In this session, we’ll explore how Spec-Driven Development can be applied to Drupal projects, from defining features and data models to planning custom modules, designing APIs, and implementing integrations. We’ll look at how structured specifications can guide AI coding assistants in generating Drupal code that aligns with Drupal’s architecture, coding standards, and established best practices.
Through a practical example, we’ll walk through the journey from a feature requirement to a working Drupal implementation, examining how specifications can improve code generation, validation, testing, and collaboration between developers and AI tools.
Whether you’re building custom modules, extending Drupal APIs, or experimenting with AI-powered development workflows, this session will help you understand how to move beyond ad hoc prompting toward a more structured, predictable, and maintainable development process.
Key takeaways:
- Understand the principles of Spec-Driven Development and how they differ from traditional AI-assisted coding.
- Learn how to translate requirements into actionable specifications for Drupal features.
- Explore how AI coding assistants can use specifications to generate and refine Drupal code.
- Discover ways to validate generated code against requirements, Drupal coding standards, and acceptance criteria.
- Identify opportunities to integrate spec-driven workflows into existing Drupal development practices.