Dynamic Consistency Boundaries - Maximizing Agility of Event Sourced Systems

Remember when Adam said, "We didn't even touch on dynamic context boundary stuff... that would be another two hours"? Well, here are those two hours.

In our last conversation, we explored how event modeling and event sourcing work beautifully with AI. But we skipped something crucial: how consistency boundaries actually work in event-sourced systems, and why they're fundamentally different from traditional "aggregate" or "stream" boundaries.

The Problem:
Why traditional bounded contexts consistently feel wrong and how forcing a single abstraction to serve everyone leads to endless refactoring.

The Solution:

• Event sourcing changes the game by letting events define natural boundaries, replacing shared abstractions with purpose-built models, and allowing boundaries to emerge from real workflows rather than upfront design.

• Defining dynamic vs. static: What "dynamic" really means, why you don't need to get boundaries right upfront, and how event sourcing makes boundary evolution safe.

• The AI Connection: Why clear boundaries reduce hallucinations, how scope matters more than ever, and why this multiplies AI effectiveness.

Practical Insights: Real examples of boundary evolution, when to split vs. combine, how boundaries emerge in workshops, and integration patterns that actually work.

Watch this live on YouTube on Feb 12 ↗️