Two AI Agents, One Database: Solving Concurrent Updates With Optimistic Locking

AI agents are moving beyond simple chat interfaces and becoming part of real application workflows. In a modern distributed system, one agent might handle customer refunds, another might manage inventory, while a background process updates the same data at the same time.

The main problem isn't always that an agent makes a bad decision. The real issue is that two agents can make valid decisions using the same data and then overwrite each other's changes without knowing that the data has changed.