Kxd22p.putty PDocsProgramming
Related
Python Community Blog Transitions to Git-Based PublishingEnhance Your Python Projects with Codex CLI: A Comprehensive GuideAI Code Revolution: How Non-Coders Are Now Building Android Apps with Zero ExperienceSwift Metaprogramming: How to Write Code That Inspects ItselfMicrosoft Phasing Out SMS Verification: Everything You Need to Know About PasskeysFrontend Engineers Face New Crisis: Microservices Complexity Threatens User ExperienceAI Coding Boom Obscures Crisis: Junior Developers Losing Ability to Debug Their Own CodeHow to Automate Agent Trajectory Analysis with GitHub Copilot

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