How to get multiple agents to play nice at scale

About this episode

The episode discusses the complexities of getting multiple AI agents to collaborate effectively in engineering systems.

SPONSORED BY INTUIT Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer, from Intuit join the podcast to chat about what might be the hardest problem in engineering right now: getting multiple AI agents to work together in a complex system. They discuss how automated evals can make agent behaviors more predictable, agent swarms vs. one highly skilled agent, and how customer behavior shaped their technical architecture.  Episode notes Want to work on complex engineering problems like these? Explore careers at Intuit. We’ve worked with Intuit on a few other great blogs and podcasts, including Best practices for building LLMs and How Intuit democratizes AI development across teams through reusability . Connect with Chase on LinkedIn .  Connect with Steven on LinkedIn .  Congrats to Lifejacket badge winner Sean for saving Creating the simplest HTML toggle button? with a great answer. TRANSCRIPT See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .

People in this episode

Guests: Chase Roossin, Steven Kulesza

Topics covered

• AI agents
• engineering challenges
• automated evaluations
• customer behavior
• technical architecture

Keywords

• AI agents
• engineering
• Intuit
• automated evaluations
• technical architecture

Sponsors

Intuit

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