This post was originally published on Stack Overflow
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
[Intro Music]
Ryan Donovan: Hello everyone, and welcome to the Stack Overflow Podcast, a place to talk all things software and technology. I am your host, Ryan Donvan, and today we are talking about the complexities of multi-agent architectures, and today it’s sponsored by the fine folks at Intuit. And my guests are Steven Kulesza, staff software engineer, and Chase Roosin, engineering manager at Intuit. So, welcome
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