video1.0<iframe src="https://www.loom.com/embed/71cefe85bf7a4fa7a0b7b8905d3de00b" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/71cefe85bf7a4fa7a0b7b8905d3de00b-77a890829bf01154.gif4797.2559In this video, I discuss the concept of autonomous agents and their applications, particularly in software development and task automation. I share insights from my experience running an autonomous software development life cycle system, highlighting the importance of having a clear roadmap for agents to operate effectively. I also demonstrate a specific autonomous system, LLM Tutor, and explain how it functions using cloud code and bash scripts. Viewers are encouraged to engage with the coding exercises presented and to consider the distinctions between autonomy and agency in their projects. Please take the time to experiment with the coding tasks during our class.