As AI agents move into production, engineering teams are running into new operational challenges, unreliable outputs, orchestration bottlenecks, context management issues, and coordination failures across increasingly complex workflows. In this session, Yehya from Lovable explores the realities of building and operating agentic systems at scale, sharing lessons learned around system architecture, multi-agent coordination, reliability, and maintaining quality as autonomous workflows grow in complexity and volume.