Advances in reasoning models are enabling AI systems to move beyond responding to prompts and towards planning, tool use, memory, and autonomous decision-making. As these capabilities evolve, developers face new challenges around orchestration, evaluation, reliability, and control. Join Alan as he explores the technical foundations behind modern AI agents, the engineering patterns emerging across the industry, and what developers should be preparing for as autonomous AI systems become increasingly capable and integrated into enterprise software. Key takeaways → How reasoning models are changing the design of AI agents. → The architectural patterns behind scalable, production-ready agentic systems. → The engineering challenges of balancing autonomy, reliability, and control. → Where agentic AI is heading—and what builders should prepare for next.