Eno Reyes

Dropping an autonomous AI agent into a traditional software pipeline is like putting a sports car on a dirt road—it will inevitably break down. Today's enterprise tech stacks were built exclusively for human engineers. So, what happens when your most active code contributors become machines? In this session, Factory Co-Founder and CTO Eno Reyes explores the fundamental infrastructure shift required to support an autonomous engineering workforce. Moving beyond simple code generation, Eno will discuss the industry-wide necessity of "paving the roads" for agentic systems. He will illustrate how the entire Software Development Life Cycle (SDLC) must evolve, offering builders a practical framework for transitioning to agent-native environments. Attendees will learn how to establish the deterministic guardrails, AI-readable APIs, and robust data foundations necessary for autonomous systems to build, test, and deploy at full speed.

Planning, coding, testing, monitoring—the endless cycle that spans 10+ tools that fragment our focus and slows delivery to a crawl. Vibe coding doesn't work when you've got 10TB of code. If you just sighed, you're one of many professional software engineers trapped in the traditional software development lifecycle (SDLC) that was designed before AI could parallelize your entire workflow.

Agentic system design is a rapidly evolving and intellectually fascinating field, with huge potential for transforming how software is used across industries. Unlike traditional software, agentic systems rely on non-deterministic and oftentimes difficult to predict decision making.