
Aishwarya Srinivasan discusses the importance of agentic AI skills and the implications of rapid coding advancements in software engineering.
In Episode #1023, Aishwarya Srinivasan (Co-Founder of The Gen Academy) joins Jon Krohn to work out where a competitive moat comes from once anything you can build in ten minutes, somebody else can build in ten minutes too. Ash came to teaching through Illuminate AI, the mentorship community she started in 2020, and now trains senior engineers and leaders to ship agentic AI in production; she is blunt that vibe coding lowers the floor without touching the engineering judgment that production demands. In this episode, she explains what a whole-system eval covers that a model eval misses, traces reinforcement learning from the algorithm she patented at IBM to its resurgence in agentic fine tuning and lays out the MIND framework from her TED Talk for living with AI. Additional materials: https://www.superdatascience.com/1023 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (00:10:10) Why cheap code shifts the software engineering job rather than ending it (00:15:50) What a…
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