Complex Drupal projects rarely fail because of code. They fail because intention, implementation and reality drift apart. This session shows how AI-assisted codebase and specification analysis can restore control, clarity, and confidence in large, long-lived Drupal systems.
Participants should have hands-on experience with mid-to-large Drupal projects (Drupal 8+), and a working understanding of:
- Custom modules and integrations
- Agile or fixed-scope delivery models
- The typical gap between specifications, code, testing, and documentation
No AI or machine-learning background is required.
Modern Drupal platforms are often business-critical, long-lived, and heavily customized. Over time, documentation drifts, specifications become outdated, and teams lose a shared understanding of what the system actually does.
This session explores how AI-assisted specification analysis and codebase introspection can be used to tame that complexity, not by replacing developers or testers, but by augmenting architectural insight, delivery control, and acceptance clarity.
- Recognize the structural causes of complexity in long-lived Drupal projects
Understand why documentation, specifications, and code diverge over time and why this creates delivery, quality, and acceptance risk. - Apply AI-assisted techniques to regain architectural and functional insight
Learn how modern AI can analyze a Drupal codebase to surface real system behavior, dependencies, and business logic without relying on outdated documentation. - Use specification–code comparison to detect gaps early
Gain practical insight into how AI-supported gap analysis can expose missing, deviating, or undocumented functionality before it becomes costly rework. - Shift from static documentation to “living” system knowledge
Understand how documentation and acceptance evidence can be generated from the actual implementation, reducing manual effort and improving reliability. - Improve delivery predictability without disrupting development workflows
See how these approaches support better estimation, acceptance, and stakeholder communication—without changing how Drupal teams build software day to day.
