WhatschatDocsProgramming
Related
Go Developer Survey 2025: Help Shape the Future of GoTaming Time: How the Temporal Proposal Revolutionizes JavaScript Date HandlingHow the Python Packaging Council Was Born: A Step-by-Step Guide to PEP 77210 Things You Need to Know About Pyroscope 2.0: Redefining Continuous Profiling at ScaleThe SAP npm Package Attack: What Developers and CISOs Need to KnowHow to Track Google I/O 2026: A Step-by-Step Guide to What’s ComingCritical Modbus Float32 Bug Plagues Industrial Controllers: 1.4e-45 Temperature Readings Signal Byte-Order ChaosExploring Using go fix to modernize Go code

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