AlexshaDocsProgramming
Related
Go Team Unveils Stack Allocation Breakthrough for Faster Slice OperationsKernel 6.19 Update Sparks TCMalloc Clash: Hyrum's Law Strikes AgainBecoming a Member of the Python Security Response Team: A Step-by-Step Guide7 Must-Know Facts About GDB Source-Tracking BreakpointsEverything You Need to Know About Python 3.13.8Python 3.15 Enters Alpha 3 with Game-Changing Profiler and UTF-8 Default10 Essential Facts About Hygon C86-4G CPU Support in GCC 17Python Packaging Gains Formal Governance: The New Packaging Council

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