GafryerDocsProgramming
Related
Python 3.15.0 Alpha 6: What's New and Why It MattersMeta's New Canary Framework Reinforces Configuration Safety Amid AI Speed SurgeRaycast 2.0 vs Alfred 5.0 in 2026: Insights from 300 Mac Developer SurveyFrom Reading to Mastery: 7 Essential Steps to Truly Understand Algorithms10 Essential Facts About the 2025 Go Developer SurveyExploring Python 3.15.0 Alpha 2: Key Features and Developer Insights10 Crucial Things You Need to Know About Python 3.13.6Configuration Safety at Scale: How Meta Protects Deployments

Orchestrating AI Agents at Enterprise Scale: Insights from Intuit's Engineering Leaders

Last updated: 2026-05-01 23:23:16 · Programming

Introduction

Building systems where multiple AI agents work together seamlessly at scale is one of the hardest challenges in modern engineering. According to Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer at Intuit, the problem is not just about individual agent performance but about how to coordinate these agents within a complex ecosystem. In a recent conversation, they shared their experiences and strategies for making multi-agent systems cooperate effectively. This article explores the key insights from their discussion, offering a roadmap for any organization tackling similar issues.

Orchestrating AI Agents at Enterprise Scale: Insights from Intuit's Engineering Leaders
Source: stackoverflow.blog