Agents, Autonomy, and the Edge of Illusion
Language: English
The presentation was given on 2025.09.09 at PyCon Israel 2025 - Conference.
AI agents can plan, act, and adapt, or at least, they appear to. Under the hood, they remain fragile systems built on prediction rather than true understanding. This talk explores what LLM agents are really capable of today, where they break, and how to design around their limits. Through real-world failure patterns and success stories, we’ll unpack the myths, highlight common traps, and share practical tools and evaluation techniques for building agents that are genuinely useful. Finally, we’ll look ahead to how these systems may evolve, and what you can do right now to stay ahead as agent-powered development becomes the norm.