Death by Tool Calls: Using CodeGen Agents to Solve the Biggest Problem with Agentic AI
AI agents are all the rage right now, and companies are rushing to find creative ways to put them to work. Especially compelling is multi-agent orchestration, in which swarms of agents, each armed with a particular set of skills, collaborate as a team to accomplish complex tasks.
What if you were told that everything you learned about agentic AI was either wrong or incomplete? That a typical agentic app could run several times faster and be orders of magnitude less expensive if it were architected differently? That’s the promise of CodeGen agents: agents that utilize tools by generating code that calls those tools rather than by relying on the LLM tools protocol. Learn what CodeGen agents are, how to write them, and how to use them to write agents that scale. It might just change the way you think about agentic AI.
About the speaker
Jeff Prosise
Jeff Prosise is the cofounder of Wintellect, Chief Artificial Intelligence Officer at InRule, and a passionate devotee of generative AI and its ability to make the world a better place. He has written ten books and hundreds of magazine articles, trained thousands of developers at Microsoft, and spoken at some of the world's largest software conferences. His latest book, “Applied Machine Learning and AI for Engineers”, was published by O’Reilly Media. In his spare time, he builds and flies large radio-control jets and goes out of his way to get wet in some of the world's best dive spots. He loves the smell of jet fuel in the morning.