WwwspillDocsProgramming
Related
AI Agent Coordination Crisis: Intuit Engineers Reveal the Hardest Problem in Modern EngineeringGoogle's TCMalloc Breaks Linux Kernel API, Forces Exception to No-Regressions RuleNVIDIA Unveils Nemotron 3 Nano Omni: All-in-One AI Agent Model Slashes Costs, Boosts Speed by 9xPython 3.14.0rc2 Released Early; Third Release Candidate Added for Final 2025 DebutYour Guide to Joining the Python Security Response Team (PSRT)10 Key Insights into Python 3.15.0 Alpha 3: What Developers Need to KnowArm64 Readiness for Hugging Face Spaces: A Step-by-Step Q&A Guide5 Key Facts About GDB Source-Tracking Breakpoints That Will Revolutionize Your Debugging

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