From cloud computing to infrastructure-as-a-service, Reuven Cohen (AKA rUv) has been on the cutting edge of every major technology supercycle — and he’s now one of the most influential people in the agentic AI space.
With the help of agents, rUv produced 10 million lines of usable code last year. That’s 33,000 years of output from one human. rUv’s approach proves one of two things: he’s either an outlier or a leading indicator of what’s to come.
In this episode, we talk to rUv about:
- His approach to training autonomous agents
- The rapid advancements in agentic code development
- Why LLMs are vulnerable to data poisoning
- Why Python is bad for agentic development
