
Episode #46
An AI That Rewires Its Own Code?! Inside Exo & The Next Era of Software Development with Alex Krentsel
What happens when an AI agent gets permission to rewrite the code that runs it? On this episode of the 1st10 Podcast, host Boris Epstein sits down with Alex Krentsel, a senior researcher at Google Research and a systems PhD student at UC Berkeley to dig into why efficiency, and not accuracy, may be the real unlock for self-improving agents. Alex is building Exo, an open-source agent harness that watches itself work and changes its own policy to get better and cheaper at a task. Together, Boris and Alex talk about: The multi-billion dollar reason today's LLM providers secretly have zero incentive to make their agent loops efficient. The statistical reality behind why agents still fall apart on long-horizon corporate workflows. The unexpected childhood obsession that provided Alex with a foundational blueprint for understanding distributed agentic systems. Alex's unpopular opinion about which part of the classic ML curriculum is now "far over-weighted." The truth behind why a widely popular tech-career shortcut from the 2010s has officially ceased to exist today. Alex spent his early days engineering high-traffic UI at YouTube. These days, he works at the intersection of systems research, agentic AI, and the changing role of software engineers. The conversation ultimately comes back to a simple question, that owes its existence to Alex's childhood fascination with... ants. "How do simple components, following the right rules, become systems that are greater than the sum of their parts?" Tune in for an unfiltered look at what it truly takes to build software on the frontier of AI! Chapters 00:00 Preview of the episode 01:54 Meet Alex Krentsel 03:16 The Architectural Shift Beyond LLM Scaling 06:48 Inside Exo: AI Agents That Improve Themselves 10:27 Why Exo Is Open Source 13:08 How Smart Are AI Agents, Really? 16:03 Explosive Adoption of AI Coding Agents 18:06 What Will Software Engineers Do Now? 21:34 Machine Learning v/s Systems Thinking 23:36 What Should Startups Look for in Engineers? 27:31 A Peek Inside Google Research 31:34 Do All Roads Lead to AI? 34:23 Anthills, Agent Swarms, and "Civilizations" 37:17 Alex Is Optimistic About AI 40:33 The Mood Among CS PhDs (at Berkeley) 43:45 Contact Details and First Contact Message 44:19 A Prediction for the Future Quotes "Claude Code and Codex have zero incentive to be efficient for you, because you're paying for the token use. The more expensive it is to do the task, the more they get paid." - Alex Krentsel (08:27) "Our jobs are no longer to do the rote work of programming a UI. A lot of what we're doing now is reasoning about specification." - Alex Krentsel (18:48) "I really think that the systems skillset ... is going to be the valuable skillset going forward." - Alex Krentsel (21:07) "Part of the challenge is also deciding what to build, now that it's become really easy to actually do the building." - Alex Krentsel (23:08) Follow Spotify https://podcasters.spotify.com/pod/show/1st10podcast Amazon https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcast Apple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast YouTube: https://www.youtube.com/@1st10podcast Links: Alex Krentsel on LinkedIn: https://www.linkedin.com/in/alex-krentsel/ Alex’s Website: https://www.krentsel.com Recent paper co-authored by Alex and Ion Stioca: https://arxiv.org/abs/2609.12039 . It presents how we are thinking about the gaps in agentic systems (or agent-created systems). Bach, Partita II, Allemande, performed by Alex Krentsel: https://www.youtube.com/watch?v=8bxF6tpL2do Bach - Violin Partita no. 2 in D minor BWV 1004 - Sato: https://www.youtube.com/watch?v=44Wz92zQe04 Bach - Chaconne from Violin partita no. 2 in D minor BWV 1004: https://www.youtube.com/watch?v=7y4lcQ7BTLw Music by Roman Senyk from Pixabay Producer: Shrikant Joshi (https://42quirks.com)






