Building AI Products: A Backend Architecture Deep Dive

This article details the journey of an AI team building an AI-powered Chief of Staff for engineering leaders. Initially using simple inference pipelines, they transitioned to a multi-agent system as the application grew. The author explains agent design principles, differences from microservices, and object-oriented implementation. Memory management, including CQRS and event sourcing, and handling natural language events are discussed. Scaling to 10,000 users involved sharding, asynchronous programming, LLM call optimization, and migration to Temporal.