391043 StackDocsProgramming
Related
Scaling Harmony: A Developer's Guide to Coordinating Multiple AI Agents7 Key Insights from Python 3.15.0 Alpha 2 – What Developers Need to KnowHow to Use the Go 1.25 Flight Recorder for Debugging Latency IssuesRustup 1.29.0 Release: Enhanced Performance and New Platform SupportExploring Python 3.15.0 Alpha 2: New Features and Developer Preview InsightsAssessing Arm64 Compatibility of Hugging Face Spaces with Docker and Arm MCP ToolsBuilding Leadership Trust in a World of Information Overload: A Q&A GuideAnthropic Unveils Claude Code Routines for Unattended Enterprise Agent Workflows

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