During my journey learning Event Modeling as part of my VibeTDD framework exploration, I discovered some issues that from my point of view limit the framework's adoption and effectiveness. After extensive research and community discussions, I decided to build a proof-of-concept that addresses these core problems.
Learn how to automatically fetch and process historical events when building event-driven services. No manual migrations, no data import scripts - just deploy and let the framework handle it. Works seamlessly in both modular monoliths and distributed architectures.
Learn how to implement the Inbox Pattern for reliable event processing with retry logic, exponential backoff, and distributed locking. Explore real-world scenarios where immediate event processing isn't safe, and discover how to handle complex operations like document conversions, external API calls, and aggregations with guaranteed delivery.
Learn how to classify and handle events efficiently using a two-tier approach that separates simple data updates from complex business logic