Developers can build an AI chatbot in minutes, but deploying a production agent with tools and guardrails still takes weeks. Despite the explosion of AI model capabilities, the infrastructure layer that connects models to real-world tools remains surprisingly primitive. Dedalus Labs’ $11 million seed round, co-led by Kindred Ventures and Saga Ventures with Y Combinator participation, signals recognition that developer infrastructure—not model performance—has become the primary bottleneck in AI agent adoption.