AI Agentic Engineering Workflows, Scrum, and Technical Hiring

AI agents can write code, research technical approaches, reproduce bugs, and automate repeated engineering work. But faster implementation does not remove the need to understand the system. Shaun Patterson, CTO at Titan, explains how agentic coding is changing the way his team builds software. The discussion covers reusable debugging skills, AI driven planning, technical migrations, code quality, and the limits of letting an agent keep working without human intervention. The conversation also explores what faster development means for project management. If agents can work across larger parts of a project, teams may spend less time managing individual stories and more time operating at the epic level. Shaun also explains how Titan evaluates engineering candidates in an environment where using AI is expected rather than prohibited.