Making AI Deterministic for Developers and their Agents, with Patrick Vuong of Moderne

Episode notes

Today, we have a special guest on the Code Story podcast - Patrick Vuong , Director of Product at Moderne . Moderne is the agent tools company, building the. Knowledge, discovery and execution tools that AI agents rely on - so they can operator faster, more accurately, and at far lower cost. In today's episode, Patrick is going to tell us about the company, and how Moderne is enabling developers to build software faster, and with the best context - using agents and agent tools. Their approach to semantic models produce deterministic over probabilistic, or inference driven, tools, which for this engineer/host, has been a point of skepticism for AI since the beginning. Questions Tell me and my audience a little bit about you. What is Moderne? Moderne is enabling developers to operate software systems at the speed of agents. Tell me about this product suite. Why do Agents need tooling? Where do we see AI in ROI Something jumped out at me... you mentioned you are not only building tooling for agents that are deterministic. As we peer into tech stacks across the industry, where does Moderne fit? OK so this is clearly a pivot for Moderne. With this, who are your customers now?