Barry O'Reilly at DDD Europe 2025
summary
Argues that model drift—the gap between the mental/domain model and the implemented code—drives regressions and slows delivery, and demonstrates a lightweight detector that compares domain model artifacts to runtime telemetry to quantify divergence; introduces software attractors as patterns that pull implementation back to the model, specifically domain events, canonical aggregates and explicit anti-corruption layers; shows a pilot where the detector flags persistent divergence and adding attractors cuts related incidents and rework substantially.
AI-written summary · about
related talks
03mBarry O'Reilly im Interview
50mAll Models Are Wrong: Lessons from Real DDD Projects
48mObject modeling: Theory vs Practice. Round 1
02mEntrevistamos a Oriol Saludes y Álvaro García
06mKeynote: Beyond Observability: Intelligent Progressive...
44mDependencies; Devil or Darling?
37mObservability-Driven Development
38mWhat I talk about when I talk about Domain Driven design