Yaniv Aknin

Yaniv Aknin, a founding engineer at Tessl, shares his insights on enhancing AI agents through effective design and context. He explains the significance of built-in instructions that influence agent behavior and performance. The conversation dives into the surprising effectiveness of a 100-line Python nano agent and contrasts the tool philosophies of Codex and Claude. Yaniv also discusses how subagents improve flexibility and proposes innovative evaluation methods for agent performance. Prepare for a deep dive into the future of AI development!